Acquisition of lexical paraphrases from texts

  • Authors:
  • Kazuhide Yamamoto

  • Affiliations:
  • ATR Spoken Language Translation Research Laboratories, Kyoto, Japan

  • Venue:
  • COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Automatic acquisition of paraphrase knowledge for content words is proposed. Using only a non-parallel text corpus, we compute the para-phrasability metrics between two words from their similarity in context. We then filter words such as proper nouns from external knowledge. Finally, we use a heuristic in further filtering to improve the accuracy of the automatic acquisition. In this paper, we report the results of acquisition experiments.