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- W2107130271 abstract "While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as syntactic paraphrases." @default.
- W2107130271 created "2016-06-24" @default.
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- W2107130271 date "2001-01-01" @default.
- W2107130271 modified "2023-10-17" @default.
- W2107130271 title "Extracting paraphrases from a parallel corpus" @default.
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- W2107130271 doi "https://doi.org/10.3115/1073012.1073020" @default.
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