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- W2073449354 abstract "We present a corpus-driven method for building a lexicon of semantically equivalent pairs of technical and lay medical terms. Using a parallel corpus of abstracts of clinical studies and corresponding news stories written for a lay audience, we identify terms which are good semantic equivalents of technical terms for a lay audience. Our method relies on measures of association. Results show that, despite the small size of our corpus, a promising number of pairs are identified." @default.
- W2073449354 created "2016-06-24" @default.
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- W2073449354 date "2007-01-01" @default.
- W2073449354 modified "2023-09-24" @default.
- W2073449354 title "Mining a lexicon of technical terms and lay equivalents" @default.
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- W2073449354 doi "https://doi.org/10.3115/1572392.1572402" @default.
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