Results 81 to 90 of about 31,258 (204)
Word sense disambiguation with pictures
Artificial Intelligence, 2005 AbstractWe introduce using images for word sense disambiguation, either alone, or in conjunction with traditional text based methods. The approach is based on a recently developed method for automatically annotating images by using a statistical model for the joint probability for image regions and words. The model itself is learned from a data base of
Barnard, Kobus, Johnson, Matthew
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Incorporating Word Sense Disambiguation in Neural Language Models [PDF]
, 2021 Jan Philip Wahle +3 more
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Neural Network Models for Word Sense Disambiguation: An Overview
Cybernetics and Information Technologies, 2018 The following article presents an overview of the use of artificial neural networks for the task of Word Sense Disambiguation (WSD). More specifically, it surveys the advances in neural language models in recent years that have resulted in methods for ...
Popov Alexander
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Word Sense Disambiguation using a Bidirectional LSTM
, 2016 In this paper we present a clean, yet effective, model for word sense disambiguation. Our approach leverage a bidirectional long short-term memory network which is shared between all words.
Kågebäck, Mikael, Salomonsson, Hans
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Comparing children and large language models in word sense disambiguation: Insights and challenges
Language Development ResearchUnderstanding how children process ambiguous words is a challenge because sense disambiguation is a complex task that depends on both bottom-up and top-down cues.
Abdellah Fourtassi +2 more
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A Survey on Word Sense Disambiguation
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.
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Word Sense Disambiguation with GermaNet
, 2015 The subject of this dissertation is boosting research on word sense disambiguation (WSD) for German. WSD is a very active area of research in computational linguistics, but most of the work is focused on English. One of the factors that has hampered WSD research for other languages such as German is the lack of appropriate resources, particularly in ...
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A Systematic Analysis of Various Word Sense Disambiguation Approaches
Advances in Distributed Computing and Artificial Intelligence JournalThe process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area.
Chandra Ganesh +3 more
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Random Walks for Knowledge-Based Word Sense Disambiguation
Computational Linguistics, 2021 Eneko Agirre +2 more
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WORD SENSE DISAMBIGUATION USING FUZZY SEMANTIC-BASED STRING SIMILARITY MODEL
Malaysian Journal of Computing, 2018 Sentences are the language of human communication. This communication medium is so fluid that words and meaning can have many interpretations by readers.
Amir Abd-Rashid, Shuzlina Abdul-Rahman, Nor Nadiah Yusof, Azlinah Mohamed
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