Lexical gap in cQA search, resulted by the variability of languages, has been recognized as an important and widespread phenomenon. To address the problem, this paper presents a question reformulation scheme to enhance the question retrieval model by fully exploring the intelligence of paraphrase in phrase-level. It compensates for the existing paraphrasing research in a suitable granularity, w...

This paper proposes a method that extracts paraphrases from search engine query logs. The method first extracts paraphrase query-title pairs based on an assumption that a search query and its corresponding clicked document titles may mean the same thing. It then extracts paraphrase query-query and title-title pairs from the query-title paraphrases with a pivot approach. Paraphrases extracted in...

This paper describes a method for checking the acceptability of paraphrases in context. We use the Google n-gram data and a CCG parser to certify the paraphrasing grammaticality and fluency. We collect a corpus of human judgements to evaluate our system. The ultimate goal of our work is to integrate text paraphrasing into a Linguistic Steganography system, by using paraphrases to hide informati...

1 Previous analyses 1.1 Huang and Liu on LDR ziji Long-distance ziji is of interest to linguists for its peculiar behavior: it does not always obey Binding Condition A as stated in the Binding Theory. Some authors, for example, Huang and Liu (2001) argue that there are two uses of the bare reflexive ziji: one as a syntactic anaphor subject to Binding Condition A and the other as a pragmatic log...

The authors used the computational tool Coh-Metrix to examine expert writers’ paraphrases and in particular, how experts paraphrase text passages using condensing strategies. The overarching goal of this study was to develop machine learning algorithms to aid in the automatic detection of paraphrases and paraphrase types. To this end, three experts were instructed to paraphrase by condensing a ...

Much previous work on generation has focused on the general problem of producing lexical strings from abstract semantic representations. We consider generation in the context of a particular task, creating full sentential paraphrases of fragments in dialogue. When the syntactic, semantic and phonological information provided by a dialogue fragment resolution system is made accessible to a gener...

The Sentence Fairy system implements a “virtual writing conference” for elementary-school children, with German as the target language. It deploys natural-language generation technology to evaluate and improve the grammatical quality of learner output. Based on an abstract representation of the story under construction, all paraphrases of simple and combined clauses are generated fully automati...

This paper presents a system for automatically generating a set of plausible paraphrases for a given noun compound and rank them in decreasing order of their usage represented by the confidence value provided by the human annotators. Our system implements a corpusdriven probabilistic co-occurrence based model for predicting the paraphrases, that uses a seed list of paraphrases extracted from co...

As part of our project ParaPhraser on the identification and classification of Russian paraphrase, we have collected a corpus of more than 8000 sentence pairs annotated as precise, loose or non-paraphrases. The corpus is annotated via crowdsourcing by naïve native Russian speakers, but from the point of view of the expert, our complex paraphrase detection model can be more successful at predict...