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Sense Tagging: Semantic Tagging with a Lexicon
, 1997 Sense tagging, the automatic assignment of the appropriate sense from some lexicon to each of the words in a text, is a specialised instance of the general problem of semantic tagging by category or type. We discuss which recent word sense disambiguation
Stevenson, Mark, Wilks, Yorick
core +2 more sources
An empirical study of the behavior of active learning for word sense disambiguation [PDF]
, 2006 Jinying Chen +3 more
openalex +1 more source
Word sense disambiguation by learning from unlabeled data [PDF]
, 2000 Seong-Bae Park +2 more
openalex +1 more source
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. [PDF]
J Am Med Inform Assoc, 2019 Pesaranghader A +3 more
europepmc +1 more source
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. [PDF]
BMC Bioinformatics, 2019 Zhang C, Biś D, Liu X, He Z.
europepmc +1 more source
Interactive medical word sense disambiguation through informed learning. [PDF]
J Am Med Inform Assoc, 2018 Wang Y, Zheng K, Xu H, Mei Q.
europepmc +1 more source
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings [PDF]
Proc IEEE Int Symp Bioinformatics Bioeng, 2017 Sabbir A, Jimeno-Yepes A, Kavuluru R.
europepmc +1 more source
On Contribution of Sense Dependencies to Word Sense Disambiguation
, 2009 Jun Hatori +2 more
openalex +2 more sources
Using triangulation to identify word senses
Word sense disambiguation is the task of determining which sense of a word is intended from its context. Previous methods have found the lack of training data and the restrictiveness of dictionaries' choices of senses to be major stumbling blocks.
Mitchell, Richard +2 more
core +1 more source