Can multilinguality improve Biomedical Word Sense Disambiguation?
نویسندگان
چکیده
منابع مشابه
Can multilinguality improve Biomedical Word Sense Disambiguation?
Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate systems able to tackle complex tasks such as information extraction, summarization or document classification. In this work we explore whether multil...
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With the ever increase in biomedical literature, text-mining has emerged as an important technology to support bio-curation and search. Word sense disambiguation (WSD), the correct identification of terms in text in the light of ambiguity, is an important problem in text-mining. Since the late 1940s many approaches based on supervised (decision trees, naive Bayes, neural networks, support vecto...
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There have been some works that learn a lexicon together with the corpus to improve the word embeddings. However, they either model the lexicon separately but update the neural networks for both the corpus and the lexicon by the same likelihood, or minimize the distance between all of the synonym pairs in the lexicon. Such methods do not consider the relatedness and difference of the corpus and...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2016
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2016.10.020