A review of word-sense disambiguation methods and algorithms: Introduction
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2015 The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text.
Tatiana Kaushinis +14 more
doaj +1 more source
From Word Alignment to Word Senses, via Multilingual Wordnets [PDF]
Computer Science Journal of Moldova, 2006 Most of the successful commercial applications in language processing (text and/or speech) dispense with any explicit concern on semantics, with the usual motivations stemming from the computational high costs required for dealing with semantics, in case
Dan Tufis
doaj
A Game-Theoretic Approach to Word Sense Disambiguation
Computational Linguistics, 2016 This article presents a new model for word sense disambiguation formulated in terms of evolutionary game theory, where each word to be disambiguated is represented as a node on a graph whose edges represent word relations and senses are represented as ...
Rocco Tripodi, Marcello Pelillo
doaj +1 more source
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
Annual Meeting of the Association for Computational Linguistics, 2019 Word Sense Disambiguation (WSD) is a long-standing but open problem in Natural Language Processing (NLP). WSD corpora are typically small in size, owing to an expensive annotation process.
Sawan Kumar +3 more
semanticscholar +1 more source
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
Cognitive Studies | Études cognitives, 2015 Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources Lexical resources can be applied in many different Natural Language Engineering tasks, but the most fundamental task is the recognition of word senses used in ...
Paweł Kędzia +2 more
doaj +1 more source
Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]
, 2018 Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
core +1 more source
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation
Annual Meeting of the Association for Computational Linguistics, 2020 Exploiting syntagmatic information is an encouraging research focus to be pursued in an effort to close the gap between knowledge-based and supervised Word Sense Disambiguation (WSD) performance.
Federico Scozzafava +4 more
semanticscholar +1 more source
Attention-based Stacked Bidirectional Long Short-term Memory Model for Word Sense Disambiguation [PDF]
, 2023 Yujia Sun, Jan Platoš
openalex +1 more source
Capsule Network Improved Multi-Head Attention for Word Sense Disambiguation
Applied Sciences, 2021 Word sense disambiguation (WSD) is one of the core problems in natural language processing (NLP), which is to map an ambiguous word to its correct meaning in a specific context.
Jinfeng Cheng, Weiqin Tong, Weian Yan
doaj +1 more source
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation
International Joint Conference on Artificial Intelligence, 2020 Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context. It lies at the base of Natural Language Processing as it provides semantic information for words.
Tommaso Pasini
semanticscholar +1 more source