Results 81 to 90 of about 83,408 (318)
Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps [PDF]
, 2004 Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense ...
Linden, Krister
core +1 more source
Subjectivity word sense disambiguation [PDF]
Proceedings 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
Conference 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
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
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
The Anatomical Record, EarlyView.Abstract The trigeminus nerve (cranial nerve V) is a large and significant conduit of sensory information from the face to the brain, with its three branches extending over the head to innervate a wide variety of integumentary sensory receptors, primarily tactile.
Juri A. Miyamae +4 more
wiley +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
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
Word Sense Disambiguation Methods and Algorithms
International 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.
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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