説明
<jats:p> Lexical Simplification is the task of replacing complex words with simpler alternatives. We propose a novel, unsupervised approach for the task. It relies on two resources: a corpus of subtitles and a new type of word embeddings model that accounts for the ambiguity of words. We compare the performance of our approach and many others over a new evaluation dataset, which accounts for the simplification needs of 400 non-native English speakers. The experiments show that our approach outperforms state-of-the-art work in Lexical Simplification. </jats:p>
収録刊行物
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- Proceedings of the AAAI Conference on Artificial Intelligence
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Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016-03-05
Association for the Advancement of Artificial Intelligence (AAAI)