PDF] Mining and Ranking Biomedical Synonym Candidates from
Por um escritor misterioso
Last updated 07 julho 2024
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The results show that PRF-based reranking outperformed word embedding based approach and a strong baseline using interwiki link frequency, and suggests that medical synonyms mined from Wikipedia can increase the coverage of existing synonym resources such as UMLS. Biomedical synonyms are important resources for Natural Language Processing in Biomedical domain. Existing synonym resources (e.g., the UMLS) are not complete. Manual efforts for expanding and enriching these resources are prohibitively expensive. We therefore develop and evaluate approaches for automated synonym extraction from Wikipedia. Using the inter-wiki links, we extracted the candidate synonyms (anchor-text e.g., “increased thirst”) in a Wikipedia page and the title (e.g., “polyuria”) of its corresponding linked page. We rank synonym candidates with word embedding and pseudo-relevance feedback (PRF). Our results show that PRF-based reranking outperformed word embedding based approach and a strong baseline using interwiki link frequency. A hybrid method, Rank Score Combination, achieved the best results. Our analysis also suggests that medical synonyms mined from Wikipedia can increase the coverage of existing synonym resources such as UMLS.
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PDF) Mining and Ranking Biomedical Synonym Candidates from Wikipedia
Mining Natural Products for Macrocycles to Drug Difficult Targets
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PDF] Search with Synonyms: Problems and Solutions
FindPFΔS: Non-Target Screening for PFAS─Comprehensive Data Mining
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Mining and Ranking Biomedical Synonym Candidates from Wikipedia
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A knowledge graph to interpret clinical proteomics data
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PDF] Mining and Ranking Biomedical Synonym Candidates from
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Evaluating sentence representations for biomedical text: Methods
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BioChem, Free Full-Text
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PDF) A review on biomedical mining
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PDF) A review on biomedical mining
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Biomedical Scientific Textual Data Types and Processing
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An automated and combinative method for the predictive ranking of
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