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The Importance of Travel & Tourism to the Global Economy

Article on importance of travel and tourism

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7. Extracting Information from Text. For any given question, it's likely that someone has written the answer down somewhere. The amount of natural language text that is available in electronic form is truly staggering, and and tourism is increasing every day. However, the complexity of natural language can make it very difficult to access the information in that text. The state of the art in NLP is still a long way from being able to build general-purpose representations of meaning from unrestricted text.

If we instead focus our efforts on a limited set of questions or entity relations, such as where are different facilities located, or who is employed by what company, we can make significant progress. The goal of this chapter is to answer the following questions: How can we build a system that extracts structured data, such as tables, from unstructured text? What are some robust methods for identifying the proper essay format entities and relationships described in a text? Which corpora are appropriate for this work, and how do we use them for training and evaluating our models? Along the way, we'll apply techniques from the on importance of travel and tourism last two chapters to competition 2012 the problems of article on importance, chunking and named-entity recognition.

If this location data was stored in Python as a list of tuples (entity, relation, entity) , then the question Which organizations operate in Atlanta? could be translated as follows: Companies that operate in competition Atlanta. Things are more tricky if we try to get similar information out of text. On Importance Of Travel! For example, consider the graham following snippet (from nltk.corpus.ieer , for fileid NYT19980315.0085 ). If you read through (1), you will glean the information required to answer the example question. And Tourism! But how do we get a machine to understand enough about (1) to return the answers in proper introduction format 1.2? This is obviously a much harder task. Unlike 1.1, (1) contains no structure that links organization names with location names. One approach to this problem involves building a very general representation of meaning (10.). On Importance And Tourism! In this chapter we take a different approach, deciding in advance that we will only look for paper very specific kinds of information in of travel and tourism text, such as the essay relation between organizations and locations.

Rather than trying to use text like (1) to answer the question directly, we first convert the article of travel and tourism unstructured data of natural language sentences into proper introduction the structured data of article, 1.1. Then we reap the benefits of proper introduction format, powerful query tools such as SQL. This method of article, getting meaning from text is cartoon paper called Information Extraction . Information Extraction has many applications, including business intelligence, resume harvesting, media analysis, sentiment detection, patent search, and email scanning. Article On Importance And Tourism! A particularly important area of turnbull competition, current research involves the article attempt to extract structured data out of electronically-available scientific literature, especially in the domain of essay, biology and medicine. 1.1 Information Extraction Architecture. 1.1 shows the architecture for a simple information extraction system. It begins by processing a document using several of the procedures discussed in 3 and 5.: first, the raw text of the document is split into sentences using a sentence segmenter, and each sentence is further subdivided into words using a tokenizer. Next, each sentence is tagged with part-of-speech tags, which will prove very helpful in the next step, named entity detection . In this step, we search for mentions of potentially interesting entities in each sentence.

Finally, we use relation detection to search for likely relations between different entities in the text. Figure 1.1 : Simple Pipeline Architecture for an Information Extraction System. This system takes the raw text of a document as its input, and generates a list of (entity, relation, entity) tuples as its output. For example, given a document that indicates that the company Georgia-Pacific is located in on importance of travel and tourism Atlanta, it might generate the tuple ([ORG: 'Georgia-Pacific' ] 'in' [LOC: 'Atlanta' ]) . To perform the first three tasks, we can define a simple function that simply connects together NLTK's default sentence segmenter , word tokenizer , and part-of-speech tagger : Remember that our program samples assume you begin your interactive session or your program with: import nltk, re, pprint. Next, in named entity detection, we segment and research label the entities that might participate in interesting relations with one another. Typically, these will be definite noun phrases such as the knights who say ni , or proper names such as Monty Python . In some tasks it is useful to article on importance and tourism also consider indefinite nouns or noun chunks, such as every student or cats , and essay competition these do not necessarily refer to entities in the same way as definite NP s and proper names. Finally, in relation extraction, we search for specific patterns between pairs of entities that occur near one another in the text, and use those patterns to build tuples recording the of travel relationships between the entities. The basic technique we will use for entity detection is chunking , which segments and paper labels multi-token sequences as illustrated in 2.1. The smaller boxes show the article word-level tokenization and part-of-speech tagging, while the large boxes show higher-level chunking. Essay Outline! Each of these larger boxes is article called a chunk . Like tokenization, which omits whitespace, chunking usually selects a subset of the tokens. Also like tokenization, the pieces produced by a chunker do not overlap in the source text.

Figure 2.1 : Segmentation and Labeling at cartoon research paper, both the Token and Chunk Levels. In this section, we will explore chunking in article of travel some depth, beginning with the definition and representation of chunks. We will see regular expression and n-gram approaches to chunking, and will develop and evaluate chunkers using the cinderella story CoNLL-2000 chunking corpus. We will then return in (5) and 6 to the tasks of of travel, named entity recognition and relation extraction. We will begin by considering the task of noun phrase chunking , or NP-chunking , where we search for chunks corresponding to individual noun phrases. For example, here is some Wall Street Journal text with NP -chunks marked using brackets: As we can see, NP -chunks are often smaller pieces than complete noun phrases. For example, the market for system-management software for Digital's hardware is a single noun phrase (containing two nested noun phrases), but it is captured in NP -chunks by college the simpler chunk the market . One of the motivations for this difference is that NP -chunks are defined so as not to contain other NP -chunks. Consequently, any prepositional phrases or subordinate clauses that modify a nominal will not be included in the corresponding NP -chunk, since they almost certainly contain further noun phrases. One of the most useful sources of information for NP -chunking is part-of-speech tags. And Tourism! This is one of the motivations for performing part-of-speech tagging in our information extraction system.

We demonstrate this approach using an example sentence that has been part-of-speech tagged in 2.2. In order to create an NP -chunker, we will first define a chunk grammar , consisting of rules that indicate how sentences should be chunked. In this case, we will define a simple grammar with a single regular-expression rule . This rule says that an NP chunk should be formed whenever the chunker finds an five outline, optional determiner ( DT ) followed by any number of adjectives ( JJ ) and then a noun ( NN ). Using this grammar, we create a chunk parser , and on importance of travel and tourism test it on our example sentence . The result is a tree, which we can either print , or display graphically . Example 2.2 ( : Figure 2.2 : Example of a Simple Regular Expression Based NP Chunker. We can match these noun phrases using a slight refinement of the first tag pattern above, i.e. DT?JJ.**NN.*+ . This will chunk any sequence of tokens beginning with an turnbull essay, optional determiner, followed by zero or more adjectives of any type (including relative adjectives like earlier/JJR ), followed by article on importance and tourism one or more nouns of privacy essays papers, any type. However, it is easy to find many more complicated examples which this rule will not cover: Your Turn: Try to come up with tag patterns to cover these cases. Article On Importance And Tourism! Test them using the five essay for kids graphical interface . Continue to refine your tag patterns with the help of the feedback given by this tool. 2.3 Chunking with Regular Expressions. To find the and tourism chunk structure for a given sentence, the RegexpParser chunker begins with a flat structure in which no tokens are chunked. The chunking rules are applied in turn, successively updating the chunk structure.

Once all of the rules have been invoked, the resulting chunk structure is returned. 2.3 shows a simple chunk grammar consisting of two rules. The first rule matches an optional determiner or possessive pronoun, zero or more adjectives, then a noun. Story! The second rule matches one or more proper nouns. We also define an example sentence to be chunked , and run the chunker on this input . The $ symbol is a special character in article on importance regular expressions, and must be backslash escaped in order to graham turnbull essay match the tag PP$ . If a tag pattern matches at overlapping locations, the leftmost match takes precedence. Article Of Travel! For example, if we apply a rule that matches two consecutive nouns to research a text containing three consecutive nouns, then only the first two nouns will be chunked: Once we have created the article on importance of travel and tourism chunk for privacy essays papers money market , we have removed the context that would have permitted fund to on importance of travel and tourism be included in a chunk. This issue would have been avoided with a more permissive chunk rule, e.g. Essay! NP: . We have added a comment to each of article on importance and tourism, our chunk rules. Essay Story! These are optional; when they are present, the chunker prints these comments as part of on importance, its tracing output. In 2 we saw how we could interrogate a tagged corpus to extract phrases matching a particular sequence of part-of-speech tags.

We can do the same work more easily with a chunker, as follows: Your Turn: Encapsulate the above example inside a function find_chunks() that takes a chunk string like CHUNK: as an argument. Use it to essay introduction search the article on importance of travel corpus for paper several other patterns, such as four or more nouns in and tourism a row, e.g. NOUNS: Sometimes it is easier to define what we want to exclude from a chunk. We can define a chink to be a sequence of tokens that is not included in a chunk. In the following example, barked/VBD at/IN is proper essay introduction format a chink:

Chinking is the process of removing a sequence of tokens from a chunk. If the article on importance and tourism matching sequence of tokens spans an entire chunk, then the whole chunk is removed; if the research sequence of tokens appears in the middle of the chunk, these tokens are removed, leaving two chunks where there was only on importance of travel one before. If the sequence is at paper, the periphery of the chunk, these tokens are removed, and a smaller chunk remains. These three possibilities are illustrated in 2.1. Three chinking rules applied to the same chunk. In 2.4, we put the entire sentence into a single chunk, then excise the chinks. 2.6 Representing Chunks: Tags vs Trees. Figure 2.5 : Tag Representation of Chunk Structures. IOB tags have become the standard way to represent chunk structures in files, and we will also be using this format. Here is how the information in 2.5 would appear in of travel a file: In this representation there is cinderella essay one token per line, each with its part-of-speech tag and chunk tag.

This format permits us to represent more than one chunk type, so long as the chunks do not overlap. As we saw earlier, chunk structures can also be represented using trees. Article Of Travel! These have the benefit that each chunk is a constituent that can be manipulated directly. Cartoon Paper! An example is shown in 2.6. Figure 2.6 : Tree Representation of Chunk Structures. NLTK uses trees for its internal representation of chunks, but provides methods for reading and article on importance writing such trees to the IOB format. 3 Developing and Evaluating Chunkers. Now you have a taste of what chunking does, but we haven't explained how to five paragraph for kids evaluate chunkers.

As usual, this requires a suitably annotated corpus. We begin by looking at the mechanics of converting IOB format into an NLTK tree, then at how this is done on a larger scale using a chunked corpus. And Tourism! We will see how to score the accuracy of a chunker relative to a corpus, then look at some more data-driven ways to search for NP chunks. Our focus throughout will be on expanding the coverage of a chunker. 3.1 Reading IOB Format and five paragraph essay outline for kids the CoNLL 2000 Corpus. Using the corpus module we can load Wall Street Journal text that has been tagged then chunked using the IOB notation. The chunk categories provided in this corpus are NP , VP and PP . As we have seen, each sentence is represented using multiple lines, as shown below: A conversion function chunk.conllstr2tree() builds a tree representation from one of these multi-line strings. Moreover, it permits us to of travel choose any subset of the three chunk types to use, here just for research NP chunks: We can use the article of travel and tourism NLTK corpus module to access a larger amount of chunked text. The CoNLL 2000 corpus contains 270k words of Wall Street Journal text, divided into train and test portions, annotated with part-of-speech tags and chunk tags in the IOB format.

We can access the data using nltk.corpus.conll2000 . Here is an example that reads the 100th sentence of the train portion of the corpus: As you can see, the CoNLL 2000 corpus contains three chunk types: NP chunks, which we have already seen; VP chunks such as has already delivered ; and PP chunks such as because of . Since we are only interested in five paragraph the NP chunks right now, we can use the chunk_types argument to select them: 3.2 Simple Evaluation and Baselines. Now that we can access a chunked corpus, we can evaluate chunkers. We start off by establishing a baseline for the trivial chunk parser cp that creates no chunks: The IOB tag accuracy indicates that more than a third of the article of travel and tourism words are tagged with O , i.e. not in an NP chunk. Privacy Papers! However, since our tagger did not find any chunks, its precision, recall, and f-measure are all zero. Now let's try a naive regular expression chunker that looks for article on importance of travel and tourism tags beginning with letters that are characteristic of college senior, noun phrase tags (e.g.

CD , DT , and JJ ). As you can see, this approach achieves decent results. Article And Tourism! However, we can improve on it by adopting a more data-driven approach, where we use the training corpus to find the essay format chunk tag ( I , O , or B ) that is most likely for on importance each part-of-speech tag. In other words, we can build a chunker using a unigram tagger (4). But rather than trying to determine the five outline correct part-of-speech tag for each word, we are trying to article on importance and tourism determine the correct chunk tag, given each word's part-of-speech tag. In 3.1, we define the UnigramChunker class, which uses a unigram tagger to label sentences with chunk tags. Most of the cinderella essay story code in this class is simply used to convert back and forth between the chunk tree representation used by NLTK's ChunkParserI interface, and on importance of travel and tourism the IOB representation used by the embedded tagger. The class defines two methods: a constructor which is graham turnbull essay 2012 called when we build a new UnigramChunker; and the parse method which is article of travel and tourism used to cartoon research paper chunk new sentences.

Example 3.1 ( : Figure 3.1 : Noun Phrase Chunking with a Unigram Tagger. The constructor expects a list of training sentences, which will be in the form of chunk trees. It first converts training data to a form that is suitable for training the tagger, using tree2conlltags to and tourism map each chunk tree to privacy papers a list of word,tag,chunk triples. It then uses that converted training data to train a unigram tagger, and stores it in article on importance of travel self.tagger for later use. The parse method takes a tagged sentence as its input, and begins by extracting the part-of-speech tags from that sentence. It then tags the essays part-of-speech tags with IOB chunk tags, using the tagger self.tagger that was trained in article of travel and tourism the constructor.

Next, it extracts the cinderella essay chunk tags, and combines them with the on importance of travel original sentence, to yield conlltags . Finally, it uses conlltags2tree to convert the privacy result back into a chunk tree. Now that we have UnigramChunker , we can train it using the CoNLL 2000 corpus, and test its resulting performance: This chunker does reasonably well, achieving an overall f-measure score of 83%. Let's take a look at what it's learned, by using its unigram tagger to of travel assign a tag to each of the part-of-speech tags that appear in the corpus: It has discovered that most punctuation marks occur outside of NP chunks, with the exception of # and $ , both of which are used as currency markers. Graham Essay! It has also found that determiners ( DT ) and possessives ( PRP$ and WP$ ) occur at the beginnings of NP chunks, while noun types ( NN , NNP , NNPS , NNS ) mostly occur inside of NP chunks. Having built a unigram chunker, it is quite easy to build a bigram chunker: we simply change the class name to BigramChunker , and modify line in 3.1 to construct a BigramTagger rather than a UnigramTagger . The resulting chunker has slightly higher performance than the unigram chunker:

3.3 Training Classifier-Based Chunkers. Both the regular-expression based chunkers and the n-gram chunkers decide what chunks to create entirely based on part-of-speech tags. However, sometimes part-of-speech tags are insufficient to determine how a sentence should be chunked. For example, consider the following two statements: These two sentences have the same part-of-speech tags, yet they are chunked differently. In the first sentence, the farmer and article and tourism rice are separate chunks, while the corresponding material in the second sentence, the computer monitor , is a single chunk. Clearly, we need to make use of information about the content of the words, in addition to just their part-of-speech tags, if we wish to maximize chunking performance. One way that we can incorporate information about the content of words is to use a classifier-based tagger to chunk the privacy papers sentence. Like the n-gram chunker considered in and tourism the previous section, this classifier-based chunker will work by assigning IOB tags to the words in a sentence, and then converting those tags to chunks.

For the classifier-based tagger itself, we will use the same approach that we used in 1 to build a part-of-speech tagger. The basic code for the classifier-based NP chunker is essay shown in 3.2. On Importance Of Travel And Tourism! It consists of two classes. The first class is almost identical to the ConsecutivePosTagger class from five essay 1.5. Article Of Travel And Tourism! The only two differences are that it calls a different feature extractor and that it uses a MaxentClassifier rather than a NaiveBayesClassifier . The second class is basically a wrapper around the tagger class that turns it into a chunker. Story! During training, this second class maps the chunk trees in the training corpus into tag sequences; in the parse() method, it converts the tag sequence provided by and tourism the tagger back into a chunk tree. Example 3.2 ( : Figure 3.2 : Noun Phrase Chunking with a Consecutive Classifier. The only piece left to fill in is the feature extractor. We begin by defining a simple feature extractor which just provides the part-of-speech tag of the current token.

Using this feature extractor, our classifier-based chunker is very similar to the unigram chunker, as is reflected in its performance: We can also add a feature for the previous part-of-speech tag. Adding this feature allows the classifier to model interactions between adjacent tags, and results in a chunker that is closely related to the bigram chunker. Next, we'll try adding a feature for college senior the current word, since we hypothesized that word content should be useful for chunking. We find that this feature does indeed improve the article of travel and tourism chunker's performance, by format about 1.5 percentage points (which corresponds to of travel and tourism about a 10% reduction in cartoon research the error rate). Finally, we can try extending the feature extractor with a variety of additional features, such as lookahead features , paired features , and complex contextual features . This last feature, called tags-since-dt , creates a string describing the article on importance set of all part-of-speech tags that have been encountered since the essays most recent determiner, or since the beginning of the sentence if there is no determiner before index i . . Your Turn: Try adding different features to the feature extractor function npchunk_features , and see if you can further improve the performance of the article on importance of travel and tourism NP chunker. 4 Recursion in research paper Linguistic Structure.

4.1 Building Nested Structure with Cascaded Chunkers. So far, our chunk structures have been relatively flat. Trees consist of tagged tokens, optionally grouped under a chunk node such as NP . However, it is possible to build chunk structures of arbitrary depth, simply by creating a multi-stage chunk grammar containing recursive rules. 4.1 has patterns for article and tourism noun phrases, prepositional phrases, verb phrases, and sentences. This is a four-stage chunk grammar, and essay can be used to create structures having a depth of at most four. Unfortunately this result misses the VP headed by saw . On Importance Of Travel! It has other shortcomings too. Let's see what happens when we apply this chunker to a sentence having deeper nesting. Graham Turnbull Competition 2012! Notice that it fails to identify the of travel VP chunk starting at . The solution to these problems is to get the cinderella story chunker to loop over its patterns: after trying all of article, them, it repeats the process. We add an five paragraph outline for kids, optional second argument loop to specify the number of times the of travel set of graham 2012, patterns should be run: This cascading process enables us to article and tourism create deep structures. However, creating and debugging a cascade is difficult, and there comes a point where it is more effective to do full parsing (see 8.).

Also, the cascading process can only produce trees of fixed depth (no deeper than the number of stages in the cascade), and this is insufficient for complete syntactic analysis. A tree is five essay for kids a set of connected labeled nodes, each reachable by a unique path from a distinguished root node. Article And Tourism! Here's an example of a tree (note that they are standardly drawn upside-down): We use a 'family' metaphor to talk about the relationships of nodes in a tree: for paper example, S is the parent of VP ; conversely VP is a child of article on importance of travel, S . Also, since NP and VP are both children of S , they are also siblings . For convenience, there is also a text format for specifying trees: Although we will focus on syntactic trees, trees can be used to story encode any homogeneous hierarchical structure that spans a sequence of linguistic forms (e.g. morphological structure, discourse structure).

In the general case, leaves and node values do not have to be strings. In NLTK, we create a tree by article of travel giving a node label and a list of story, children: We can incorporate these into successively larger trees as follows: Here are some of the methods available for tree objects: The bracketed representation for complex trees can be difficult to read. In these cases, the draw method can be very useful.

It opens a new window, containing a graphical representation of the article of travel and tourism tree. The tree display window allows you to zoom in and out, to collapse and graham turnbull 2012 expand subtrees, and to print the graphical representation to article a postscript file (for inclusion in a document). It is paper standard to on importance and tourism use a recursive function to traverse a tree. The listing in 4.2 demonstrates this. Example 4.2 ( : Figure 4.2 : A Recursive Function to Traverse a Tree. We have used a technique called duck typing to detect that t is a tree (i.e. t.label() is defined). At the essay start of this chapter, we briefly introduced named entities (NEs). Named entities are definite noun phrases that refer to specific types of individuals, such as organizations, persons, dates, and so on. 5.1 lists some of the more commonly used types of NEs. These should be self-explanatory, except for Facility: human-made artifacts in the domains of architecture and civil engineering; and GPE: geo-political entities such as city, state/province, and country. Commonly Used Types of of travel, Named Entity.

The goal of a named entity recognition (NER) system is to papers identify all textual mentions of the article of travel and tourism named entities. This can be broken down into two sub-tasks: identifying the boundaries of the NE, and identifying its type. While named entity recognition is frequently a prelude to identifying relations in Information Extraction, it can also contribute to other tasks. For example, in Question Answering (QA), we try to improve the precision of Information Retrieval by recovering not whole pages, but just those parts which contain an answer to the user's question. Most QA systems take the documents returned by standard Information Retrieval, and then attempt to isolate the minimal text snippet in the document containing the answer. Now suppose the college research question was Who was the first President of the of travel US? , and essays papers one of the documents that was retrieved contained the following passage: Analysis of the question leads us to article on importance of travel expect that an answer should be of the form X was the first President of the US , where X is not only a noun phrase, but also refers to a named entity of type PERSON. This should allow us to ignore the privacy essays papers first sentence in the passage. While it contains two occurrences of Washington , named entity recognition should tell us that neither of them has the correct type.

Figure 5.1 : Location Detection by Simple Lookup for article on importance of travel a News Story: Looking up every word in a gazetteer is cartoon paper error-prone; case distinctions may help, but these are not always present. Observe that the article on importance and tourism gazetteer has good coverage of locations in many countries, and incorrectly finds locations like Sanchez in the Dominican Republic and On in Vietnam. Graham Essay Competition! Of course we could omit such locations from the gazetteer, but then we won't be able to identify them when they do appear in a document. It gets even harder in of travel and tourism the case of names for people or organizations. Any list of such names will probably have poor coverage. New organizations come into existence every day, so if we are trying to deal with contemporary newswire or blog entries, it is unlikely that we will be able to recognize many of the entities using gazetteer lookup. Another major source of difficulty is turnbull essay competition caused by article the fact that many named entity terms are ambiguous. Thus May and college senior paper North are likely to be parts of named entities for DATE and LOCATION, respectively, but could both be part of a PERSON; conversely Christian Dior looks like a PERSON but is more likely to be of type ORGANIZATION.

A term like Yankee will be ordinary modifier in some contexts, but will be marked as an article on importance of travel and tourism, entity of type ORGANIZATION in the phrase Yankee infielders . Further challenges are posed by multi-word names like Stanford University , and by names that contain other names such as Cecil H. Green Library and college senior Escondido Village Conference Service Center . In named entity recognition, therefore, we need to be able to identify the beginning and end of multi-token sequences. Named entity recognition is a task that is well-suited to the type of classifier-based approach that we saw for noun phrase chunking. And Tourism! In particular, we can build a tagger that labels each word in essay story a sentence using the IOB format, where chunks are labeled by their appropriate type. Here is part of the CONLL 2002 ( conll2002 ) Dutch training data: In this representation, there is article on importance and tourism one token per line, each with its part-of-speech tag and its named entity tag. Five Paragraph Essay For Kids! Based on this training corpus, we can construct a tagger that can be used to label new sentences; and use the nltk.chunk.conlltags2tree() function to convert the on importance and tourism tag sequences into a chunk tree. NLTK provides a classifier that has already been trained to cartoon research recognize named entities, accessed with the function nltk.ne_chunk() . If we set the parameter binary=True , then named entities are just tagged as NE ; otherwise, the classifier adds category labels such as PERSON, ORGANIZATION, and GPE.

Once named entities have been identified in a text, we then want to extract the relations that exist between them. As indicated earlier, we will typically be looking for relations between specified types of of travel and tourism, named entity. One way of approaching this task is to five paragraph essay outline for kids initially look for article of travel and tourism all triples of the form ( X , ?, Y ), where X and Y are named entities of the required types, and ? is the string of words that intervenes between X and Y . College Research! We can then use regular expressions to pull out just those instances of ? that express the relation that we are looking for. The following example searches for strings that contain the word in . The special regular expression (?!b.+ingb) is a negative lookahead assertion that allows us to disregard strings such as success in supervising the transition of , where in is followed by a gerund. Searching for on importance of travel and tourism the keyword in works reasonably well, though it will also retrieve false positives such as [ORG: House Transportation Committee] , secured the most money in the [LOC: New York] ; there is research senior paper unlikely to be simple string-based method of excluding filler strings such as this. As shown above, the of travel and tourism conll2002 Dutch corpus contains not just named entity annotation but also part-of-speech tags. This allows us to devise patterns that are sensitive to these tags, as shown in the next example.

The method clause() prints out the relations in a clausal form, where the binary relation symbol is specified as the value of format, parameter relsym . Your Turn: Replace the last line , by print (rtuple(rel, lcon=True, rcon=True)) . This will show you the article on importance and tourism actual words that intervene between the two NEs and also their left and right context, within a default 10-word window. With the proper introduction format help of on importance, a Dutch dictionary, you might be able to story figure out why the result VAN( 'annie_lennox' , 'eurythmics' ) is a false hit. Information extraction systems search large bodies of unrestricted text for specific types of entities and relations, and use them to populate well-organized databases. These databases can then be used to find answers for article of travel specific questions. The typical architecture for cartoon research an information extraction system begins by segmenting, tokenizing, and part-of-speech tagging the text. The resulting data is then searched for specific types of entity.

Finally, the information extraction system looks at entities that are mentioned near one another in the text, and tries to determine whether specific relationships hold between those entities. Entity recognition is often performed using chunkers, which segment multi-token sequences, and label them with the appropriate entity type. Common entity types include ORGANIZATION, PERSON, LOCATION, DATE, TIME, MONEY, and GPE (geo-political entity). Chunkers can be constructed using rule-based systems, such as the RegexpParser class provided by NLTK; or using machine learning techniques, such as the ConsecutiveNPChunker presented in article on importance of travel this chapter. In either case, part-of-speech tags are often a very important feature when searching for chunks. Although chunkers are specialized to create relatively flat data structures, where no two chunks are allowed to overlap, they can be cascaded together to build nested structures. Paper! Relation extraction can be performed using either rule-based systems which typically look for specific patterns in the text that connect entities and the intervening words; or using machine-learning systems which typically attempt to learn such patterns automatically from a training corpus. Extra materials for and tourism this chapter are posted at essay introduction, , including links to freely available resources on the web. For more examples of chunking with NLTK, please see the Chunking HOWTO at on importance and tourism, . The popularity of privacy essays papers, chunking is due in article great part to pioneering work by Abney e.g., (Church, Young, Bloothooft, 1996).

Abney's Cass chunker is described in . The IOB format (or sometimes BIO Format ) was developed for cinderella essay story NP chunking by (Ramshaw Marcus, 1995), and was used for the shared NP bracketing task run by the Conference on article on importance of travel and tourism Natural Language Learning (CoNLL) in story 1999. The same format was adopted by and tourism CoNLL 2000 for annotating a section of privacy essays papers, Wall Street Journal text as part of a shared task on article on importance and tourism NP chunking. Section 13.5 of (Jurafsky Martin, 2008) contains a discussion of chunking. Chapter 22 covers information extraction, including named entity recognition. Cinderella! For information about text mining in biology and medicine, see (Ananiadou McNaught, 2006). #9788; The IOB format categorizes tagged tokens as I , O and article of travel and tourism B . Research Paper! Why are three tags necessary? What problem would be caused if we used I and O tags exclusively? #9788; Write a tag pattern to match noun phrases containing plural head nouns, e.g. many/JJ researchers/NNS, two/CD weeks/NNS, both/DT new/JJ positions/NNS. Try to do this by generalizing the tag pattern that handled singular noun phrases. #9788; Pick one of the three chunk types in the CoNLL corpus. Inspect the CoNLL corpus and try to observe any patterns in the POS tag sequences that make up this kind of chunk.

Develop a simple chunker using the regular expression chunker nltk.RegexpParser . Discuss any tag sequences that are difficult to chunk reliably. #9788; An early definition of chunk was the material that occurs between chinks. Develop a chunker that starts by putting the whole sentence in a single chunk, and then does the rest of its work solely by chinking. Determine which tags (or tag sequences) are most likely to make up chinks with the help of your own utility program. Compare the performance and simplicity of this approach relative to article of travel a chunker based entirely on chunk rules. Essay Introduction Format! #9681; Write a tag pattern to cover noun phrases that contain gerunds, e.g. the/DT receiving/VBG end/NN, assistant/NN managing/VBG editor/NN. Add these patterns to the grammar, one per line. Test your work using some tagged sentences of your own devising. #9681; Write one or more tag patterns to handle coordinated noun phrases, e.g. July/NNP and/CC August/NNP, all/DT your/PRP$ managers/NNS and/CC supervisors/NNS, company/NN courts/NNS and/CC adjudicators/NNS. On Importance! #9681; Carry out the following evaluation tasks for any of the chunkers you have developed earlier. Essays! (Note that most chunking corpora contain some internal inconsistencies, such that any reasonable rule-based approach will produce errors.) Evaluate your chunker on 100 sentences from a chunked corpus, and report the precision, recall and on importance of travel and tourism F-measure. Use the competition chunkscore.missed() and chunkscore.incorrect() methods to article on importance of travel identify the errors made by your chunker. Discuss. Story! Compare the performance of your chunker to the baseline chunker discussed in the evaluation section of this chapter. #9681; Develop a chunker for one of the chunk types in the CoNLL corpus using a regular-expression based chunk grammar RegexpChunk . Use any combination of rules for chunking, chinking, merging or splitting. Article! #9681; Sometimes a word is incorrectly tagged, e.g. the head noun in 12/CD or/CC so/RB cases/VBZ. Instead of requiring manual correction of tagger output, good chunkers are able to graham essay competition work with the erroneous output of taggers.

Look for other examples of correctly chunked noun phrases with incorrect tags. #9681; The bigram chunker scores about 90% accuracy. Study its errors and try to work out why it doesn't get 100% accuracy. On Importance! Experiment with trigram chunking. Are you able to graham competition 2012 improve the performance any more? #9733; Apply the n-gram and Brill tagging methods to on importance of travel and tourism IOB chunk tagging. Instead of assigning POS tags to words, here we will assign IOB tags to the POS tags. E.g. if the research paper tag DT (determiner) often occurs at article on importance of travel and tourism, the start of a chunk, it will be tagged B (begin). Evaluate the performance of these chunking methods relative to the regular expression chunking methods covered in this chapter. Turnbull Essay! #9733; We saw in 5. that it is possible to establish an upper limit to tagging performance by looking for ambiguous n-grams, n-grams that are tagged in more than one possible way in the training data. Apply the of travel same method to determine an upper bound on the performance of an n-gram chunker. #9733; Pick one of the three chunk types in the CoNLL corpus. Write functions to do the following tasks for your chosen type: List all the tag sequences that occur with each instance of this chunk type. Five Essay! Count the article on importance and tourism frequency of each tag sequence, and produce a ranked list in order of decreasing frequency; each line should consist of an integer (the frequency) and the tag sequence.

Inspect the essay high-frequency tag sequences. Use these as the basis for article on importance developing a better chunker. #9733; The baseline chunker presented in the evaluation section tends to create larger chunks than it should. For example, the phrase: [every/DT time/NN] [she/PRP] sees/VBZ [a/DT newspaper/NN] contains two consecutive chunks, and our baseline chunker will incorrectly combine the first two: [every/DT time/NN she/PRP] . Write a program that finds which of these chunk-internal tags typically occur at the start of a chunk, then devise one or more rules that will split up these chunks. Combine these with the existing baseline chunker and cinderella re-evaluate it, to see if you have discovered an improved baseline. #9733; Develop an NP chunker that converts POS-tagged text into a list of tuples, where each tuple consists of a verb followed by a sequence of noun phrases and prepositions, e.g. the little cat sat on article of travel and tourism the mat becomes ( 'sat' , 'on' , 'NP' ) . #9733; The Penn Treebank contains a section of tagged Wall Street Journal text that has been chunked into noun phrases. The format uses square brackets, and we have encountered it several times during this chapter. The Treebank corpus can be accessed using: for sent in nltk.corpus.treebank_chunk.chunked_sents(fileid) . These are flat trees, just as we got using nltk.corpus.conll2000.chunked_sents() . The functions nltk.tree.pprint() and nltk.chunk.tree2conllstr() can be used to create Treebank and IOB strings from a tree. Write functions chunk2brackets() and chunk2iob() that take a single chunk tree as their sole argument, and return the turnbull essay required multi-line string representation. Write command-line conversion utilities and that take a file in Treebank or CoNLL format (resp) and convert it to the other format. (Obtain some raw Treebank or CoNLL data from the NLTK Corpora, save it to a file, and then use for article on importance line in open(filename) to access it from Python.) #9733; An n-gram chunker can use information other than the current part-of-speech tag and the n-1 previous chunk tags.

Investigate other models of the context, such as the cinderella essay n-1 previous part-of-speech tags, or some combination of previous chunk tags along with previous and following part-of-speech tags. Article On Importance Of Travel! #9733; Consider the five essay outline for kids way an n-gram tagger uses recent tags to article of travel inform its tagging choice. Now observe how a chunker may re-use this sequence information. For example, both tasks will make use of the essay outline for kids information that nouns tend to follow adjectives (in English). Of Travel! It would appear that the same information is being maintained in two places. Is this likely to senior become a problem as the on importance and tourism size of the rule sets grows? If so, speculate about paper any ways that this problem might be addressed.

About this document. UPDATED FOR NLTK 3.0. Article Of Travel And Tourism! This is a chapter from research paper Natural Language Processing with Python , by article on importance Steven Bird, Ewan Klein and Edward Loper, Copyright © 2014 the authors. It is distributed with the Natural Language Toolkit [ ], Version 3.0, under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License []. This document was built on Wed 1 Jul 2015 12:30:05 AEST.

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1984 dystopia essay A/N: This was my research essay for my senior year of high school. I have always been very interested in dystopian societies, and doing this gave me a lot of joy. I am very proud of myself, as it is the first essay I have ever applied myself on. Tell me what you think! Imagine living in the most undesirable society, a society where the government watches and controls everything you do, a society in which you have no individual choice. It is a society where anything you think or do against the government can be punishable by isolation, torture, or death. There is article on importance, no independence, no freedom, and story, no personal thought. On Importance Of Travel? It is often rampant with poverty, disease, and filth. Essay Story? A society where you career and social status are pre-destined and you cannot alter it. And imagine that the article and tourism government of this society did everything in its power to proper format make you believe that this was the most ideal living situation for article on importance of travel you.

This is a dystopian society. The word dystopia traces its roots back to the Greek word dys (meaning bad) and topos (meaning place) (Dictionary). Citizens in a dystopian society never question their government. They are either brainwashed or too scared to speak up against the injustices being performed in their society. Bernard Marx from Brave New World and proper essay, Winston Smith from 1984 are different. They have been woken from the stupor of article on importance and tourism obedience their governments put them in and begin questioning their society. What they find is more horrible, dangerous and hopeless than they could have imagined. Dystopian societies can be identified by the unique characteristics of its government by using examples from 1984 by George Orwell and Brave New World by Aldous Huxely . College Research Senior? These characteristics are social restrictions, strictly government controlled groups, use of propaganda, and history alteration for government beliefs.

Huxley's Brave New World is set in a society that seems more like a fantasy than a possible reality. It is where people are no longer born, but instead manufactured on an assembly line, and are therefore created into caste levels from which they cannot move. This is a society where Henry Ford is worshipped as the creator and viviparous relationships are not only obsolete, but they are obscene. There are no emotions other than happiness, not because they are banned, but because they were just not made in these humans. While every citizen seems to believe they are in paradise, they do not see the one fatal flaw of this dystopia.

Bernard Marx on the other hand, feels its presence in every empty action he performs. It takes the encounter of John Savage from the Savage Reservation to make him realize that his acute unhappiness stems from the fact his government gives him no freedom of thought or passion. Orwell's 1984 is a much darker version of a dystopian society. Instead of being set in a fantasy realm, it is set in of travel and tourism a world which many can realistically fear, seeing as it is so close to proper many forms of government threatening us today. This is a society where helicopters fly past your window, where soldiers march in the streets and propaganda posters litter every inch of on importance of travel every wall. The most popular of these posters is one with a charismatic Hitler like face with eyes that seem to papers always watch you.

The caption reads Big Brother Is Watching You; to article remind everyone the televisions in privacy every room are watching every move every citizen makes. In this society, The Party feeds lies to the people daily, and they are forced and of travel and tourism, brainwashed into believing them. College Research? They are forced to believe whatever the government does, they are right and things are always better for them today than they were yesterday. Winston sees past these lies, because he works in the Ministry of Truth, where he revises historical documents to article of travel fit the Party's newer orthodoxies. He begins to form feelings of hatred for turnbull the party when he finds love in Julia, who engages in an illegal love affair with him. After this, he finds out article on importance of travel just how dark and corrupt his government really is. The first definition of essay competition 2012 a dystopian society is social restrictions. Dystopian governments have complete control over their people. It is the only way to keep their government in rule. Of Travel And Tourism? It is easier to graham turnbull essay control your citizens when you have trained them to be obedient and compliant. In Brave New World, people are manufactured into castes, and then trained to be compliant with the article on importance of travel and tourism government's wishes, and in research paper 1984 there is no love allowed other than love for Big Brother.

In Brave New World there are five levels people are created into: the Alphas, Betas, Deltas, Gammas and Epsilons. Deltas, Gammas and article on importance of travel and tourism, Epsilons are oxygen deprived during their embryonic growth stage to make them dumber and paragraph for kids, smaller than Betas and Alphas, therefore inferior and on importance, unable to cartoon research even become one of the of travel privileged. Privacy Essays Papers? The Department of Hatcheries and Conditioning takes care of making people, then training them to and tourism become model citizens. They use two methods. The first one is the Pavlov Method, the second is Sleep-Teaching. College Research Senior Paper? The Pavlov Method uses object-sensory activities to on importance of travel and tourism make a group of children like and research senior, hate certain objects.

For example, they use shock to make Delta babies associate pain with books, so they will never self-educate. They will also use this process to make people love the job they will do in of travel and tourism the future, i.e. Graham Competition 2012? The rocket engineer who will be working upside down for the majority of his job will be trained as a baby to love and and tourism, be happy being upside down. The second method they use is Sleep-Teaching, where moral lessons are taught on cartoon research repeat. They will have these lessons embedded in their minds by on importance the time they wake up. ( Brave New World 1-32) In 1984 there is five paragraph essay for kids, no love allowed other than love for Oceania, Big Brother, and The Party. You can get married, but it is a union for the state. You get married to have children, who in turn will become spies for article of travel and tourism the Junior Spy League, and watch your every move to graham turnbull make sure you are not a traitor.

There is article on importance and tourism, no recreational sex for pleasure, it is done in cartoon the name of the party, and those who engage in it are not allowed to article on importance of travel and tourism enjoy it. ( 1984 69-70) Julia, a sexual deviant who engages in an unorthodox sexual relationship with Winston explains the reasoning behind this rule: When you make love you're using up energy; and afterwards you feel happy and don't give a damn for anything. College Senior? They can't bear you to feel like that. On Importance And Tourism? They want you to be bursting with energy all the time. All this marching up and down and privacy papers, cheering and waving flags is simply sex gone sour. (1984 132) The second characteristic is in a dystopian society, there are only government controlled groups.

When people organize, they are more likely to revolt. Therefore, all groups and religions are government controlled to keep this from happening. In 1984, there is The Inner Party, which consists of The Ministry of Truth who work on falsifying and editing historical records, The Ministry of Peace which concerns itself with war, The Ministry of Love who employs the Thought Police, and article, the Ministry of Plenty who works on distributing and rationing goods. ( Brave New World 6). These are the only businesses in cartoon research paper Oceania, so if you are working, you are working for the government. In Brave New World , Christianity has never been heard of by the citizens. Instead, the article on importance and tourism place of veneration is called The Soliditary Service, and they worship Henry Ford, the inventor of the assembly line that creates humans. Instead of saying Lord, people say Ford and all the tops of crosses have been taken off to create a T after the Model-T car. Even Big Ben in London has been named Big Henry ( Brave New World 62). Mustapha Mond, The World Controller, explains to John Savage that God puts a sense of nobility, humbleness and self-denial in the people, and an organized society has no room for that kind of thinking.

He tells him all the passionate feelings that come from God would disrupt a perfect society, so therefore, they got rid of Him, and turnbull essay competition, replaced Him with a god that asked nothing of his people. ( Brave New World 284-285) The third characteristic is propaganda used to control citizens. You cannot have a perfect society without having complete control of your people. 1984 and Brave New World both have different approaches to how their citizens are controlled, yet both are similarly eerie. On Importance Of Travel? Don't you see that the whole aim of Newspeak is to narrow the range of thought? In the end we shall make thoughtcrime literally impossible, because there will be no words in which to express it. ( 1984 55) Besides using hate for all things other than The Party, the government in research paper 1984 creates a new language to control their people. It is called Newspeak and it was created to on importance and tourism eventually supersede the original English language, Oldspeak. While speaking or thinking in Newspeak, one cannot form a bad thought against the government because all the words contradict each other. Graham Competition? For example, all the Inner Party's names contradict their jobs. The Ministry of Love works on war, and the Ministry of Truth works on hiding the truth from the citizens ( 1984 132). Brave New World uses a peaceful approach to propaganda control.

It is called Soma, a hallucinogenic drug which makes all of its users happy. Better a gramme than a damn is a hypnotic chant that is said by article on importance happy members of essays society, reminding the on importance unhappy ones that happiness is only a pill away ( Brave New World 65). If the citizens are always happy, what will they have to complain about in their imperfect society? The fourth and final characteristic is history is story, altered for government beliefs. First of all, Winston Smith's job from 1984 , is altering history. He is on importance, given articles in his office which contradicts something recently issued by cartoon research paper the government, and he must rewrite them and send them off, where a million new, revised articles are then reissued. For example, in the beginning of the year, the government promised chocolate rations would stay where they are. However, they did change them, from article and tourism, 30 grams to 20 grams.

Winston's job is to go back to the article which states they were never going to change the rations and alter it to say that they would change it. Big Brother can never be wrong, and paragraph, the people must never be able to prove him wrong ( 1984 42). Who controls the past controls the article future, who controls the present controls the past ( 1984 260) While in 1984 , the cartoon research paper government is constantly trying to change history, in Brave New World, the government has gotten rid of history. Mustapha Mond says history is no longer applicable to the world of today. Nobody knows who Shakespeare was, seeing as his works are banned because nobody would understand the monogamy and love in them. Mustapha Mond tells John Savage people need new things to progress the economy, and history is an old thing. However, unlike in 1984 , they are not hiding history from the people to keep them from learning; they are keeping history from the people because they will never understand it. After analysis of 1984 by George Orwell and Brave New World by of travel and tourism Aldous Huxley, the story results proved to be haunting and informative. A dystopian society is fictional, therefore all the article on importance knowledge one can gather about it, must come from fictional satire.

1984 and privacy, Brave New World are two classic novels on dystopian societies. These satirical novels were effective in their era. Both were written in times where dystopian societies seemed a possible reality. Brave New World was written during the industrial revolution, where the article on importance of travel threat of technology taking over out world was very real. 1984 was written during World War II, when terrifying governments such as Stalin's communism and Mussolini's and Hitler's socialism were threats in essay everyone's minds. And Tourism? 1984 did a better job than Brave New World at research paper explaining what a dystopian society is--because you cannot mistake it for a utopia. Article Of Travel And Tourism? Brave New World would go under the sub-category of an five for kids, anti-utopia because other than one fatal flaw, it is a perfect society. The most haunting point of these two books was the fact there was absolutely no way out.

Winston Smith tries to revolt against The Party, but with the government watching his every move, there is nothing he can do. The governments are too strong for there to be any change brought into article and tourism, these two horrible worlds, and it's a scary thought. Given a choice, Brave New World would probably be the unanimous decision as to which dystopian society one may want to live in. At least you are given the illusion that you are happy in this society. Dystopian societies are about paragraph essay outline control and power. Some want to create a perfect society, and therefore must have a strong hold on their citizens to make sure their emotions don't get in the way of this utopian dream. On Importance Of Travel? Others just want absolute and complete power over the people.

However, in essay order to completely understand the reason for a dystopian society, one must first understand what is the purpose for government, and then understand the mind of the person in control of such a terrifying society. Whether one understands why these societies are put into place, one can identify it by its unique characteristics, using such satirical novels as Orwell's 1984 and Huxley's Brave New World .

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Being raised by only one parent seems impossible to many, but yet it. of the virtues to be held above all else: a respect for the parents and ancestors. In Pearl S. Buck’s, The Good Earth, filial piety is demonstrated through the relationships among Wang Lung and his father, his uncle, and his sons. Essay Story! The Good Earth is first introduced with a relieved Wang Lung on his wedding. June, 2007 AEDE-RP-0067-07 The Role of Club Goods in Overcoming Childhood Obesity Researchers: Ji Li ( and article on importance, Neal H. Hooker ( Department of Agricultural, Environmental and Development Economics The Ohio State University Recent decades have seen an essay, increasing prevalence. ASH SOC 312 Week 5 Parent Handbook Powerpoint. Check this A+ tutorial guideline at of travel and tourism parent -handbook-powerpoint Your good friends have just adopted a four-year-old child. At this point, the only socialization decision they have made is that the child is going to preschool. . Have you ever wondered how people with bad parents go on cartoon research to be good parents themselves? Where do they learn to be loving and responsive, to laugh, wrestle, or comfort after a skinned knee if their mom and dad never did? For decades, psychologists have studied how parenting style transmits through generations.

perspective on how to article, be a good parent . Every child is raised differently. Some people have good relationships with their child and some do not. Essay Story! But everyone can always look back and article on importance of travel and tourism, remember all the great things that they’ve done with each other. In the privacy papers first passage it discusses how the little girls. ?Obedience to Parents Importance After obedience to Allah (s) and His Messenger, it is most important to be obedient to one's parents . Being polite and helpful to one's parents is the duty of article of travel, every Muslim. Children sometimes do not realize how much their parents have done for essays papers them. Every mother.

Is technology good or bad for young children? This question is on a lot of article, people’s minds. If you’ve ever seen a child with a touchscreen computer like a smartphone or an iPad, it’s easy to understand why. The devices seem to enchant kids like few things that have come before – reliably absorbing. Where have all the parents gone?

It is 3am in paper, the morning when a police officer spots a group of juveniles in a public park. Of Travel! The police officer and his partner approach the juveniles and privacy essays papers, find that they have been drinking. When the article on importance of travel and tourism officers begin to question the fifteen year old, he replies with obscenities. Children Do the Crime and Parents Do the Time. STEWART 05/06/2013 WRITING 101 DR. V Children do the Crime and Parents do the cinderella essay Time I. II. Article Of Travel And Tourism! III. Put a Stop to it Before it Starts Parental Responsibility Evaluating Juvenile Crime Stewart 2 Children do the Crime and Parents do the Time I. Put a Stop to it Before it Starts A few questions. Online Games Do More Good Than Harm. that online games are doing youths more good than harm.

Games keep them away from getting involved in unhealthy activities like drugs or criminal activities. Turnbull Essay Competition! Many prefer to play games at article of travel and tourism cybercafes for introduction entertainment because of the cheap hourly rates. It is a good way to article, bond with friends and meet new. Why We Have More Opportunity Than Our Parents Yet Are Less Happy. More Opportunity Than Our Parents Yet Are Less Happy Person A said, “If I had a little more, I should be very satisfied.” Person B corrected Person A and said, “You made a mistake. Story! If you are not content with what you have, you would not be satisfied if it were doubled.” Good morning. Today I will be. Review on Characteristics of a Good Parent According to on importance, North American Culture.

emulate their parents . As a parent , you are your children's first role model. Pay attention to what you say and what you do around them and think about what kind of example you are making. College! Model the behavior and character you hope your children will adopt and live by the rules you set. A good listener . Parents Are the article on importance of travel and tourism Best Teachers or Not. Parents are the best teachers or not. Cartoon! Teachers are the people who teach you how to of travel and tourism, live in the society. In other words, teachers not only privacy papers, give you knowledge from books, but they also teach you many skills for on importance and tourism survival as well. Paragraph For Kids! A lot of people think that parents are the on importance best teachers.

To my point. Women Are Better Parents Than Men. Women are better parents than men, discuss. Essay For Kids! Do you know the word ‘family’ came from these words ‘Father And Mother I Love You’? A family consist of a father and mother; one who begets or one who gives birth to or nurtures and raises a child are what we call parents , parents could also refers to a relative. Are Parents Really to Blame for Their Kids' Behavior? Vanessa Olson Mrs. Article On Importance Of Travel And Tourism! Novak September 17, 2012 Final Draft Are Parents Really to Blame for Their Kids’ Behavior? Watching how children, or even teenagers my age, act, I wonder how or why their parents let them get away with their behavior.

What causes some kids to talk disrespectful to others or. CHILDREN OF INCARCERATED PARENTS 1 Children of Incarcerated Parents Introduction Adverse Childhood Experiences (ACEs) are traumatic exposures that impede a child’s neurobiological development, and impact the health and emotional well being of the child (Anda, Felitti, Brenner, Walker, Whitfield. Should We Be Required to Get a License to Become Parents? being yelled at by our parents , maybe it was because of papers, your report cards or maybe it was because you went out late. Whatever reason it was, I am sure that none of us was happy about our parents being ‘whiny’, right? But, at all the article on importance of travel times that happened, have you ever hated your parents so bad you want to. What Parents Can Do in Order to Protect Their Teenage Children from Unpredictable Dangers. Discuss what parents can do in order to paragraph essay, protect their teenage children from unpredictable dangers. Most people grew up having their parents nagging them to never talk to strangers. Article On Importance Of Travel! It isn't too hard to understand why parents worry about five paragraph essay their teenage children's safety so much, since some teenagers.

The Effects of Single Parent Homes. Single parent homes have many effects on a child. According to the United States Census Bureau, in of travel and tourism, November 2009, there were 13.7 million parents raising a child by themselves, and 21.8 million children being raised in a single parent home. Paper! I believe that there are positive effects, and negative effects. How Can We Strengthen Children's Self Eseem? How we can strengthen children's self-esteem? - Why is self-esteem important?

Self-esteem is the confidence in on importance of travel, one’s own worth and abilities, having self-respect and faith in one’s self. It is how we feel about ourselves and our behaviour clearly reflects those feelings. When we understand and. How I became a foster parent and the experiences that came along with it. Papers! I chose this topic because I believe that the of travel and tourism good foster parents are under appreciated. Now I do know the essays papers stories about the bad foster parents we have but not everyone is in for the money. In fact,they require you to have proof.

How to article, Make a Black Male Scholar According to proper, the writer Bill Maxwell, there are more African-American males in prisons than in college. The reason for this statistics to be most likely true is article on importance and tourism, because these young men did not start on their study skills and focusing on their education at a young. parents and children communication. communicator, one must know how to put together the words to communicate thoughts, ideas and feelings. Thoughts, ideas, feelings, and subsequently confirmed in essay introduction, writing or delivered orally. Some individuals who immortalized because of their ability to put words together. PARENTS AND CHILDREN COMMUNICATION . How Does Pride and Prejudice Reflect Society. Literature 16 April 2011 How Does Pride and Prejudice Reflect Society In her book Pride and Prejudice, Jane Austen talks about a lot of very important parts of society in the novel’s time.

It talks about the differences in on importance and tourism, class, how the paper women are supposed to on importance of travel and tourism, act, and how they are viewed, and a lot. Special Problems Parents Face Today Raising Children. Special Problems Parents Face Today Raising Children In today’s society raising children can be very hard. Senior Paper! The decisions to be made are becoming more and more difficult as the economy, technology, and people change. Parents sometimes don’t realize when they start their families how different outside. What are some important qualities of article, a good school teacher? Use specific details and examples to privacy essays papers, explain why these qualities are important. Teaching is a very noble profession. God sent His messengers on earth to teach peace, humanity care to mankind. Hence we can say that teaching and article on importance of travel, learning.

?What Does It Take to be Good Parents ? Good morning ladies and gentlemen. Graham Turnbull! I am Chong Cia Ling, the founder of Brainy Montessori. I am so grateful to have such an honour standing here to article on importance and tourism, deliver my speech entitled “What does it take to be good parents ?”. Graham Essay Competition 2012! I am sure all the parents here will agree with me. Good Parents , Good Children Jane Austen’s Pride and Prejudice and Mary Shelley’s Frakenstein are two classic pieces of literature that are worth studying. This essay will discuss the ideas and concepts of parenting in both books.

While some characteristics are shared between the two, there are also. Irresponsible Parents Should Be Punished. Irresponsible Parents Should Be Punished There is article on importance, nothing as beautiful as the sounds of the privacy papers wedding bells, the flowers, the beautiful bride and the handsome groom in a ceremony that unites them before witnesses as they become a husband and wife and eventually parents . These are normally. How often would you say you raise questions about what your child's/youngest child's teacher is doing to provide an education for your child? Have you done anything to article on importance and tourism, get to know your child's teacher or teachers? Have you done anything to get to know your child's teacher or teachers?

Have you. In today’s society parents do many crazy things to help there kids out in sports. Papers! This day in article on importance, age in sports parents go a little over cinderella essay board with things. Some parents spend a lot of money while some others look towards violence. In my paper I will prove that in this generation parents will spend unnecessary. Compare and Contrast Paper on on importance of travel and tourism Parents and Celebrities Influence on Youths. life and proper essay introduction, its intricacies, do you ask your self how or why? Take this list of names: Bono (U2), Hugh Jackman, Gerard Butler, Jessica Alba, Lindsey Lohan, Mariah Carey, Lance Armstrong; what do you see? Wealth, fame, attractiveness, betrayal, druggie, liar? How about of travel and tourism these names: Grandma, Grandpa, Mom, dad.

I am not fully agree with that parents are the proper format best teachers. On Importance Of Travel! Admittedly , parents have a great influence on their children. Form an privacy, infant to a child , people spend most time with their parents sitting together watching TV, talking about on importance and tourism funny things happened around the neighborhood ,driving out. How the Makers of Shrek Use Presentational Devices to Show the Prince as a Bad Character and Shrek as Good? How the makers of Shrek use presentational devices to show the prince As a bad character and Shrek as good ? Shrek 2 is the research paper sequel of the original Shrek. It tells the story of article of travel, Shrek, Fiona and Donkey travelling to the land of far far away to essay, see Fiona’s parents after their honeymoon. Shrek at on importance of travel and tourism first. The Three Dimensions of Love and cinderella essay story, How They Affect Attachment. ?The Three Dimensions of on importance, Love and How They Affect Attachment Page 1 The Three Dimensions of Love and How They Affect Attachment Aryne F. Levine February 15, 2008 Axia College of the University of Phoenix The Three Dimensions of proper, Love and How They Affect Attachment Page 2 According.

countless number of times, which are my parents . This also leads to article and tourism, other family members or that special person that makes a person’s life sparkle. To begin with, admiration could be described as giving as well. My parents at all times are giving. When ever I. How Does the five paragraph outline Tabula Rasa Discourse Shape Adult Perceptions of article on importance of travel, Childhood? in What Ways Does It Differ from Other Discourses of Childhood? TMA 01 P5413335 Page 1 Option 2 How does the tabula rasa discourse shape adult perceptions of childhood? In what ways does it differ from other discourses of childhood? Discourse is research paper, a concept that is used extensively in the work of Social Constructionists when discussing. Are the on importance of travel and tourism Parents the introduction format Best Teachers? Are the article on importance of travel parents the graham turnbull essay competition 2012 best teachers? Presentation -2009-09-07 I’d like to tell you a little bit about whether “Are parents the best teachers?” First of on importance and tourism, all, parents are the most influential and almost the best teachers any child can have.

The child gets to learn the most basics of things like. When you live with your parents , you must obey their rules, no matter how old you are. Graham Turnbull Essay Competition 2012! Abiding by article on importance of travel and tourism their rules may cause controversies if you have strict parents because you will not always be able to privacy, participate in many of the activities you want. However, one easy solution to this problem, although.