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Characterizing the impact of geometric properties of word embeddings on task performance.

, , , , и . CoRR, (2019)

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Mark Newman

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Jaap Denissen

 

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Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets., , , , и . J. Biomed. Informatics, (2021)Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings., и . LOUHI@EMNLP, стр. 146-156. Association for Computational Linguistics, (2019)Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health., и . CoRR, (2020)Development of Natural Language Processing Tools to Support Determination of Federal Disability Benefits in the U.S., , , , , и . LT4Gov@LREC, стр. 1-6. European Language Resources Association, (2020)Second-Order Word Embeddings from Nearest Neighbor Topological Features, и . arXiv:1705.08488 cs, (мая 2017)arXiv: 1705.08488.HARE: a Flexible Highlighting Annotator for Ranking and Exploration., и . EMNLP/IJCNLP (3), стр. 85-90. Association for Computational Linguistics, (2019)Inductive identification of functional status information and establishing a gold standard corpus: A case study on the Mobility domain., , , , , , , , , и 3 other автор(ы). BIBM, стр. 2319-2321. IEEE Computer Society, (2017)Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network., , , , и . ACL/IJCNLP (1), стр. 1016-1029. Association for Computational Linguistics, (2021)Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings., , , , , и . MLHPC@SC, стр. 44-55. IEEE, (2019)Introducing Information Retrieval for Biomedical Informatics Students., , , и . CoRR, (2021)