To Paraphrase

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From Paraphrase Database to Compositional Paraphrase Model and Back

The Paraphrase Database (PPDB; Ganitkevitch et al., 2013) is an extensive semantic resource, consisting of a list of phrase pairs with (heuristic) confidence estimates. However, it is still unclear how it can best be used, due to the heuristic nature of the confidences and its necessarily incomplete coverage. We propose models to leverage the phrase pairs from the PPDB to build parametric parap...

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Learning to Paraphrase: Using Paraphrase Detection of Spoken Utterances to Predict Learner Expertise

Predicting student knowledge from text has become an increasingly common for automatic grading and assessment. Much of this work, however, hinges on natural language processing techniques that tend to neglect the relative locations of individual words by using a bag of words model. Instead of using this technique we segment text into a bag of utterances. We then use those utterances to examine ...

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Learning to Paraphrase for Question Answering

Question answering (QA) systems are sensitive to the many different ways natural language expresses the same information need. In this paper we turn to paraphrases as a means of capturing this knowledge and present a general framework which learns felicitous paraphrases for various QA tasks. Our method is trained end-toend using question-answer pairs as a supervision signal. A question and its ...

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A Semantic Similarity Approach to Paraphrase Detection

This paper presents a novel approach to the problem of paraphrase identification. Although paraphrases often make use of synonymous or near synonymous terms, many previous approaches have either ignored or made limited use of information about similarities between word meanings. We present an algorithm for paraphrase identification which makes extensive use of word similarity information derive...

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Mapping the Paraphrase Database to WordNet

WordNet has facilitated important research in natural language processing but its usefulness is somewhat limited by its relatively small lexical coverage. The Paraphrase Database (PPDB) covers 650 times more words, but lacks the semantic structure of WordNet that would make it more directly useful for downstream tasks. We present a method for mapping words from PPDB to WordNet synsets with 89% ...

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ژورنال

عنوان ژورنال: The Iowa Review

سال: 2002

ISSN: 0021-065X,2330-0361

DOI: 10.17077/0021-065x.5507