Results 81 to 90 of about 29,475 (177)
WORD SENSE DISAMBIGUATION USING FUZZY SEMANTIC-BASED STRING SIMILARITY MODEL
Malaysian Journal of Computing, 2018 Sentences are the language of human communication. This communication medium is so fluid that words and meaning can have many interpretations by readers.
Amir Abd-Rashid, Shuzlina Abdul-Rahman, Nor Nadiah Yusof, Azlinah Mohamed
doaj +1 more source
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
Random Walks for Knowledge-Based Word Sense Disambiguation
Computational Linguistics, 2021 Eneko Agirre +2 more
doaj +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
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