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A Novel Approach to Word Sense Disambiguation for a Low-Resource Morphologically Rich Language
, 2022 Puberun Boruah
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Using UMLS lexical resources to disambiguate abbreviations in clinical text.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013Clinical text is rich in acronyms and abbreviations, and they are highly ambiguous. As a pre-processing step before subsequent NLP analysis, we are developing and evaluating clinical abbreviation disambiguation methods. The evaluation of two sequential steps, the detection and the disambiguation of abbreviations, is reported here, for various types of ...
Youngjun, Kim +2 more
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PosWSD: Low-Resource Word Sense Disambiguation Model using Part Of Speech Information
, 2022 Yazhen Chen, Jian Zhang, Qipeng He
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Disambiguation-BERT for N-best Rescoring in Low-Resource Conversational ASR.
, 2021 Pablo José Castillo Ortiz, Simen Burud
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