Automatic extraction of paraphrastic phrases from medium-size corpora

This paper presents a versatile system intended to acquire paraphrastic phrases from a representative corpus. In order to decrease the time spent on the elaboration of resources for NLP system (for example Information Extraction, IE hereafter), we suggest to use a knowledge acquisition module that helps extracting new information despite linguistic variation (textual entailment). This knowledge is automatically derived from the text collection, in interaction with a large semantic network.

• Publication year

  2004

• Venue

  International Conference on Computational Linguistics

• Publication date

  2004-08-23

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1220355.1220447arXiv cs/0509092
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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