Paper: Minimally Supervised Method for Multilingual Paraphrase Extraction from Definition Sentences on the Web

ACL ID N13-1007
Title Minimally Supervised Method for Multilingual Paraphrase Extraction from Definition Sentences on the Web
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a minimally supervised method for multilingual paraphrase extraction from definition sentences on the Web. Hashimoto et al. (2011) extracted paraphrases from Japanese definition sentences on the Web, as- suming that definition sentences defining the same concept tend to contain paraphrases. However, their method requires manually an- notated data and is language dependent. We extend their framework and develop a mini- mally supervised method applicable to multi- ple languages. Our experiments show that our method is comparable to Hashimoto et al.?s for Japanese and outperforms previous unsu- pervised methods for English, Japanese, and Chinese, and that our method extracts 10,000 paraphrases with 92% precision for English, 82.5% precision for Japanese, and 82% preci- sion for Chi...