Results 11 to 20 of about 29,791 (235)

Word sense disambiguation with pictures

open access: yesArtificial Intelligence, 2005
AbstractWe introduce using images for word sense disambiguation, either alone, or in conjunction with traditional text based methods. The approach is based on a recently developed method for automatically annotating images by using a statistical model for the joint probability for image regions and words. The model itself is learned from a data base of
Kobus Barnard
exaly   +2 more sources

Word sense disambiguation: A complex network approach

open access: yesInformation Sciences, 2018
In recent years, concepts and methods of complex networks have been employed to tackle the word sense disambiguation (WSD) task by representing words as nodes, which are connected if they are semantically similar.
Alneu A Lopès, Diego R Amancio
exaly   +3 more sources

Word sense disambiguation criteria: a systematic study [PDF]

open access: yesProceedings 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.
Audibert, Laurent
core   +6 more sources

Boosting Applied to Word Sense Disambiguation [PDF]

open access: yes, 2000
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach surpasses Naive Bayes and Exemplar ...
Escudero, Gerard   +2 more
core   +9 more sources

Knowledge-based biomedical word sense disambiguation: comparison of approaches [PDF]

open access: yesBMC Bioinformatics, 2010
Background Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature.
Aronson Alan R, Jimeno-Yepes Antonio J
doaj   +2 more sources

Word sense disambiguation for event trigger word detection in biomedicine [PDF]

open access: yesBMC Bioinformatics, 2011
This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 ...
Martinez David, Baldwin Timothy
doaj   +2 more sources

Word Sense Disambiguation Using Clustered Sense Labels

open access: yesApplied Sciences, 2022
Sequence labeling models for word sense disambiguation have proven highly effective when the sense vocabulary is compressed based on the thesaurus hierarchy.
Jeong Yeon Park   +2 more
doaj   +1 more source

Efficient estimation of Hindi WSD with distributed word representation in vector space

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Word Sense Disambiguation (WSD) is significant for improving the accuracy of the interpretation of a Natural language text. Various supervised learning-based models and knowledge-based models have been developed in the literature for WSD of the language ...
Archana Kumari, D.K. Lobiyal
doaj   +1 more source

Role of Genetic Algorithm in Optimization of Hindi Word Sense Disambiguation

open access: yesIEEE Access, 2022
The Word Sense Disambiguation system is widely used in many fields, including business, research, education, and government organizations. The availability of natural language data on the internet has grown in tandem with the rapid advancement of ...
Surbhi Bhatia   +2 more
doaj   +1 more source

Word domain disambiguation via word sense disambiguation [PDF]

open access: yesProceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX - NAACL '06, 2006
Word subject domains have been widely used to improve the performance of word sense disambiguation algorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject domains. The few existing approaches have focused on the development of algorithms specific to word domain disambiguation.
Sanfilippo, Antonio P.   +2 more
openaire   +2 more sources

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