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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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A Probabilistic Annotation Model for Crowdsourcing Coreference
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Distributed Document and Phrase Co-embeddings for Descriptive Clustering
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Biomedical event detection using rules, conditional random fields and parse tree distances
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach ...
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Abstract:
Motivation: Coreference resolution, the process of identifying different mentions of an entity, is a very important component in a text-mining system. Compared with the work in news articles, the existing study of coreference resolution in biomedical texts is quite preliminary by only focusing on specific types of anaphors like pronouns or definite noun phrases, using heuristic methods, and running on small data sets. Therefore, there is a need for an in-depth exploration of this task in the biomedical domain. Results: In this article, we presented a learning-based approach to coreference resolution in the biomedical domain. We made three contributions in our study. Firstly, we annotated a large scale coreference corpus, MedCo, which consists of 1,999 medline abstracts in the GENIA data set. Secondly, we proposed a detailed framework for the coreference resolution task, in which we augmented the traditional learning model by incorporating non-anaphors into training. Lastly, we explored various sources of ...
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Keyword:
biomedical text; Coreference resolution
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URL: https://dx.doi.org/10.4230/dagsemproc.08131.4 https://drops.dagstuhl.de/opus/volltexte/2008/1522/
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Natural Language Processing – IJCNLP 2004 : First International Joint Conference, Hainan Island, China, March 22-24, 2004, Revised Selected Papers
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UB Frankfurt Linguistik
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