Results 81 to 90 of about 83,914 (327)

WORD SENSE DISAMBIGUATION FOR TAMIL LANGUAGE USING PART-OF-SPEECH AND CLUSTERING TECHNIQUE [PDF]

open access: yesJournal of Engineering Science and Technology, 2017
Word sense disambiguation is an important task in Natural Language Processing (NLP), and this paper concentrates on the problem of target word selection in machine translation.
P. ISWARYA, V. RADHA
doaj  

A Corpus-Based Word Sense Disambiguation For Geez Language

open access: yesEthiopian Journal of Science and Sustainable Development, 2021
In natural language processing, languages have a number of ambiguous words and solving such kind of problem for the language can help the development of word sense disambiguation using corpus­based Approach.
Amlakie Aschale Alemu, Kinde Anlay Fante
doaj   +1 more source

SupWSD: a flexible toolkit for supervised word sense disambiguation [PDF]

open access: yes, 2017
In this demonstration we present SupWSD, a Java API for supervised Word Sense Disambiguation (WSD). This toolkit includes the implementation of a state-of-the-art supervised WSD system, together with a Natural Language Processing pipeline for ...
DELLI BOVI, Claudio   +2 more
core   +1 more source

A word sense disambiguation corpus for Urdu [PDF]

open access: yesLanguage Resources and Evaluation, 2018
The aim of word sense disambiguation (WSD) is to correctly identify the meaning of a word in context. All natural languages exhibit word sense ambiguities and these are often hard to resolve automatically. Consequently WSD is considered an important problem in natural language processing (NLP).
Saeed, A.   +3 more
openaire   +4 more sources

Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation [PDF]

open access: yesFindings, 2020
The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack versatility and struggle to learn and adapt quickly to new tasks, where ...
Nithin Holla   +3 more
semanticscholar   +1 more source

Biomedical Word Sense Disambiguation Based on Graph Attention Networks

open access: yesIEEE Access, 2022
Biomedical words have many semantics. Biomedical word sense disambiguation (WSD) is an important research issue in biomedicine field. Biomedical WSD refers to the process of determining meanings of ambiguous word according to its context.
Chun-Xiang Zhang   +2 more
doaj   +1 more source

Incorporating Glosses into Neural Word Sense Disambiguation [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2018
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods.
Fuli Luo   +4 more
semanticscholar   +1 more source

Word Sense Disambiguation Methods and Algorithms

open access: yesInternational Journal of Engineering and Advanced Technology, 2020
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correct sense of target word present in the text. WSD is a challenging field in the natural language processing, it helps in information retrieval, information extraction, machine learning.
openaire   +1 more source

Subjectivity word sense disambiguation [PDF]

open access: yesProceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009
This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses. We provide empirical evidence that SWSD is more feasible than full word sense disambiguation, and that it can be ...
Janyce Wiebe, Rada Mihalcea, Cem Akkaya
openaire   +2 more sources

Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2017
Word Sense Disambiguation is a long-standing task in Natural Language Processing, lying at the core of human language understanding. However, the evaluation of automatic systems has been problematic, mainly due to the lack of a reliable evaluation ...
Roberto Navigli   +2 more
semanticscholar   +1 more source

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