A Survey on Paraphrase Generation and Recognition

Abstract

Paraphrases are alternative ways of conveying the same content. The language technology for processing paraphrases, namely, paraphrase generation and paraphrase recognition, has drawn the attention of an increasing number of researchers because of its potential contribution to a wide variety of natural language applications. This survey paper overviews recent research trends in paraphrase generation and recognition, and discusses future prospects, addressing the issues of the definition of paraphrases, transformation-based paraphrase generation, paraphrase recognition in question answering and multi-document summarization, and finally corpus-based knowledge acquisition.