Paper: A Generate and Rank Approach to Sentence Paraphrasing

ACL ID D11-1009
Title A Generate and Rank Approach to Sentence Paraphrasing
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

We present a method that paraphrases a given sentence by first generating candidate para- phrases and then ranking (or classifying) them. The candidates are generated by ap- plying existing paraphrasing rules extracted from parallel corpora. The ranking compo- nent considers not only the overall quality of the rules that produced each candidate, but also the extent to which they preserve gram- maticality and meaning in the particular con- text of the input sentence, as well as the de- gree to which the candidate differs from the input. We experimented with both a Max- imum Entropy classifier and an SVR ranker. Experimental results show that incorporating features from an existing paraphrase recog- nizer in the ranking component improves per- formance, and that our overall method com- pares...