Acquisition of lexical paraphrases from texts
Kazuhide Yamamoto · 2002
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.