Results 81 to 90 of about 83,244 (255)
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
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
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
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
core +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
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
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation [PDF]
Conference on Machine Translation, 2018 Recent work has shown that the encoder-decoder attention mechanisms in neural machine translation (NMT) are different from the word alignment in statistical machine translation.
Gongbo Tang, Rico Sennrich, Joakim Nivre
semanticscholar +1 more source
A Survey on Word Sense Disambiguation [PDF]
IOSR Journal of Computer Engineering, 2013 Ambiguity has been always interwoven with human language and its evolution. Some argue that ambiguity of the human languages is a byproduct of its complexity, with words that are frequently used in language often being assigned to more than one reference in the real world, thus resulting in ambiguity.
openaire +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
Word sense disambiguation: a complex network approach
, 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.
Amancio, Diego R. +2 more
core +1 more source