Challenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domain. [PDF]
Healthc Inform Res, 2015 Moon S, McInnes B, Melton GB.
europepmc +2 more sources
Word sense disambiguation criteria [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs. Our results are not always in line with some practices in the field.
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Word Sense Disambiguation: Survey Study [PDF]
Journal of Computer Science, 2019 The process of identifying the correct sense of a given word in a particular sentence is called Word Sense Disambiguation (WSD). It is complex problem because it involves drawing knowledge from various sources. Significant amount of effort has been put into resolving this problem in machine learning since its inception but the toil is still ongoing ...
Ahmed H. Aliwy, Hawraa A. Taher
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Word sense disambiguation using OntoNotes [PDF]
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008 The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD examples provided through OntoNotes, we conduct the first large-scale WSD evaluation involving hundreds of word types and tens of thousands of sense-tagged examples, while ...
Zhi Zhong, Hwee Tou Ng, Yee Seng Chan
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SemEval-2023 Task 1: Visual Word Sense Disambiguation [PDF]
, 2023 Alessandro Raganato +4 more
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Trajectory based word sense disambiguation [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 Classifier combination is a promising way to improve performance of word sense disambiguation. We propose a new combinational method in this paper. We first construct a series of Naive Bayesian classifiers along a sequence of orderly varying sized windows of context, and perform sense selection for both training samples and test samples using these ...
Xiaojie Wang, Yuji Matsumoto
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Errata to the paper “All-words Word Sense Disambiguation for Russian Using Automatically Generated Text Collection” (Published in Vol. 20, No 4, pp. 90-107, DOI: 10.2478/cait-2020-0049) [PDF]
, 2021 openalex +1 more source
Word sense disambiguation with pictures [PDF]
Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data -, 2003 We introduce a method for using images for word sense disambiguation, either alone, or in conjunction with traditional text based methods. The approach is based in recent work on a method for predicting words for images which can be learned from image datasets with associated text.
Kobus Barnard +2 more
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Word Sense Disambiguation and Information Retrieval [PDF]
, 1994 Starting with a review of previous research that attempted to improve the representation of documents in IR systems, this research is reassessed in the light of word sense ambiguity. It will be shown that a number of the attempts' successes or failures were due to the noticing or ignoring of ambiguity.
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Estimating upper and lower bounds on the performance of word-sense disambiguation programs [PDF]
, 1992 William A. Gale +2 more
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