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Automatic identification and expansion of ambiguous abbreviations are essential for biomedical natural language processing applications, such as information retrieval and question answering systems.
Unsupervised abbreviation disambiguation
Manuel R Ciosici, Tobias Sommer, and Ira Assent. 2019 · 1904
Earlier work this paper cites.
Probing biomedical embeddings from language models
Qiao Jin, Bhuwan Dhingra, William W Cohen, and Xinghua Lu. 2019 · 1904
Earlier work this paper cites.
A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
Earlier work this paper cites.
A study of abbreviations in clinical notes
Hua Xu, Peter D Stetson, and Carol Friedman. 2007 · 2007
Earlier work this paper cites.
Using medline as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles
Hong Yu, Won Kim, Vasileios Hatzivassiloglou, and W John Wilbur. 2007 · 2007
Earlier work this paper cites.
Understanding pubmed® user search behavior through log analysis
Rezarta Islamaj Dogan, G Craig Murray, Aurélie Névéol, and Zhiyong Lu. 2009 · 2009
Earlier work this paper cites.
Exploiting mesh indexing in medline to generate a data set for word sense disambiguation
Antonio J Jimeno-Yepes, Bridget T McInnes, and Alan R Aronson. 2011 · 2011
Earlier work this paper cites.
Combining corpus-derived sense profiles with estimated frequency information to disambiguate clinical abbreviations
Hua Xu, Peter D Stetson, and Carol Friedman. 2012 · 2012
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Semeval-2013 task 12: Multilingual word sense disambiguation
Roberto Navigli, David Jurgens, and Daniele Vannella. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Clinical abbreviation disambiguation using neural word embeddings
Jun Xu, Yaoyun Zhang, Hua Xu, et al. 2015 · 2015
Cited alongside, same era.
Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities
José Camacho-Collados, Mohammad Taher Pilehvar, and Roberto Navigli. 2016 · 2016
Cited alongside, same era.
Metamap lite: an evaluation of a new java implementation of metamap
Dina Demner-Fushman, Willie J Rogers, and Alan R Aronson. 2017 · 2017
Later among the works it cites.
Neural sequence learning models for word sense disambiguation
Alessandro Raganato, Claudio Delli Bovi, and Roberto Navigli. 2017a · 2017
Later among the works it cites.
Word embeddings and recurrent neural networks based on long-short term memory nodes in supervised biomedical word sense disambiguation
Antonio Jimeno Yepes. 2017 · 2017
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Embeddings for word sense disambiguation: An evaluation study
Ignacio Iacobacci, Mohammad Taher Pilehvar, and Roberto Navigli. 2016 · 2016
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The endoplasmic reticulum: structure, function and response to cellular signaling
Dianne S Schwarz and Michael D Blower. 2016 · 2016
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Supervised learning and knowledge-based approaches applied to biomedical word sense disambiguation
Rui Antunes and Sérgio Matos
Cited in the paper.
Distributional semantics resources for biomedical text processing
SPFGH Moen and Tapio Salakoski2 Sophia Ananiadou
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Word sense disambiguation: A unified evaluation framework and empirical comparison
Alessandro Raganato, Jose Camacho-Collados, and Roberto Navigli. 2017b
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deepbiowsd: effective deep neural word sense disambiguation of biomedical text data
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, and Ali Pesaranghader. 2019 · 2019
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