Comparing Semantically Related Sentences: The Case of Paraphrase Versus Subsumption
نویسندگان
چکیده
Paraphrases and other semantically related sentences present a challenge to NLP and IR applications such as multi-document sum-marization and question answering systems. While it is generally agreed that paraphrases contain approximately equivalent ideas, they often diier from one another in subtle, yet non-trivial, ways. In this paper, we examine semantic diierences in cases of paraphrase and subsumption, in an eeort to understand what makes one sentence sig-niicantly more informative than another. Using manually annotated data from the news domain, we concentrate on developing a framework for analyzing and comparing pairs of related sentences.
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