Paraphrase generation is important in various applications such as search, summarization, and question answering due to its ability to generate textual alternatives while keeping the overall meaning intact. Clinical paraphrase generation is especially vital in building patient-centric clinical decision support (CDS) applications where users are able to understand complex clinical jargons via ea...

Paraphrase recognition is used in a number of applications such as tutoring systems, question answering systems, and information retrieval systems. The context of our research is the iSTART reading strategy trainer for science texts, which needs to understand and recognize the trainee’s input and respond appropriately. This paper describes the motivation for paraphrase recognition and develops ...

We introduce a novel discriminative model for phrase-based monolingual alignment using a semi-Markov CRF. Our model achieves stateof-the-art alignment accuracy on two phrasebased alignment datasets (RTE and paraphrase), while doing significantly better than other strong baselines in both non-identical alignment and phrase-only alignment. Additional experiments highlight the potential benefit of...

This article aims to propose a practical model for intra-lingual translation or paraphrase in another term. Paraphrase is restatement of text, rewording something written spoken, especially achieve greater clarity. approach could help troubled translator who having issues translating complex text into receptor language by assessing the source and reconstructing contents simpler semantic structu...

We propose a new method for semantic parsing of ambiguous and ungrammatical input, such as search queries. We do so by building on an existing semantic parsing framework that uses synchronous context free grammars (SCFG) to jointly model the input sentence and output meaning representation. We generalize this SCFG framework to allow not one, but multiple outputs. Using this formalism, we constr...

We describe a set of paraphrase patterns for questions which we derived from a corpus of questions, and report the result of using them in the automatic recognition of question paraphrases. The aim of our paraphrase patterns is to factor out different syntactic variations of interrogative words, since the interrogative part of a question adds a syntactic superstructure on the sentence part (i.e...

We present in this article a novel approach to the task of paraphrase identification. The proposed approach quantifies both the similarity and dissimilarity between two sentences. The similarity and dissimilarity is assessed based on lexico-semantic information, i.e., word semantics, and syntactic information in the form of dependencies, which are explicit syntactic relations between words in a...