Results 41 to 50 of about 31,258 (204)
TWE‐WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
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Biomedical Word Sense Disambiguation Based on Graph Attention Networks
IEEE 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
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SupWSD: a flexible toolkit for supervised word sense disambiguation [PDF]
, 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
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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
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Multi-feature Word Sense Disambiguation Based on Dependency Parsing Analysis [PDF]
Jisuanji gongcheng, 2017 Word Sense Disambiguation(WSD) plays an important role in machine translation,information retrieval and speech semantic recognition.In order to improve the quality of disambiguation and refine the feature,a multi-feature granularity WSD scheme is ...
SHI Zhaopeng,ZOU Xuxi,XIANG Runzhao
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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
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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
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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
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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
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Memory-Based Word Sense Disambiguation
Computers and the Humanities, 2000 We describe a memory-based classification architecture for word sense disambiguation and its application to the SENSEVAL evaluation task. For each ambiguous word, a semantic word expert is automatically trained using a memory-based approach. In each expert, selecting the correct sense of a word in a new context is achieved by finding the closest match ...
Veenstra, J. +4 more
openaire +5 more sources