Global ETD Search
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Showing 1 to 3 of 3 for “"Biomedical NLP"”.
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Neural Word Representations for Biomedical NLP
… the main input to Natural Language Processing (NLP)applications and in most areas of NLP, achieving cutting-edge results. Our work extends the usefulness of neural representations, with a particular emphasis on the biomedical domain which is linguistically highly challenging. We focus on three …
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Natural Language Processing Methods to Automatically Parse Eligibility Criteria in Dietary Supplements Clinical Trials
… process. Natural Language Processing (NLP) techniques have been used extensively to extract concepts from the clinical trial eligibility criteria. However, a significant obstacle is identifying an efficient Named Entity Recognition (NER) system to parse the clinical trial eligibility …
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Improving Automated Literature-based Discovery with Neural Networks: Neural biomedical Named Entity Recognition, Link Prediction and Discovery
… Recent advances in Natural Language Processing (NLP) allow for deep textual analysis to obtain a wide coverage of information present in text and can adapt easily to recognising new biomedical entities and terms. Similarly, recent advances in graph processing have made it possible to do in-depth …