Results 11 to 20 of about 1,924,192 (245)
A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
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A comprehensive dataset for Arabic word sense disambiguation [PDF]
Data in BriefThis data paper introduces a comprehensive dataset tailored for word sense disambiguation tasks, explicitly focusing on a hundred polysemous words frequently employed in Modern Standard Arabic.
Sanaa Kaddoura, Reem Nassar
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Clarifying terminology and definitions in education services for mental health users: A disambiguation study. [PDF]
PLoS OneIn the wake of the mental health crisis in children and adolescents, the coordination of education and mental health services has become a global priority.
Pokhilenko I +8 more
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An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages [PDF]
, 2018 In this paper, we present Watasense, an unsupervised system for word sense disambiguation. Given a sentence, the system chooses the most relevant sense of each input word with respect to the semantic similarity between the given sentence and the synset constituting the sense of the target word. Watasense has two modes of operation. The sparse mode uses
Dmitry Ustalov +5 more
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Web Resource Sense Disambiguation in Web of Data
, 2020 JUCS - Journal of Universal Computer Science Volume Nr.
Farzam Matinfar +2 more
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Word Sense Disambiguation Pipeline Framework for Low Resourced Morphologically Rich Languages
SSRN Electronic Journal, 2023 Resolving ambiguity problem is a prolonged natural language processing theoretical research challenge. Sesotho sa Leboa language is an official name for Sepedi or Northern Sotho language as known to be an official language among 11 others in South Africa spoken by 4.7 million people.
Mosima Anna Masethe +3 more
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Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study [PDF]
PeerJ Computer Science, 2022 Sentiment analysis in research involves the processing and analysis of sentiments from textual data. The sentiment analysis for high resource languages such as English and French has been carried out effectively in the past. However, its applications are
Muhammad Irzam Liaqat +4 more
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Efficient estimation of Hindi WSD with distributed word representation in vector space
Journal of King Saud University: Computer and Information Sciences, 2022 Word Sense Disambiguation (WSD) is significant for improving the accuracy of the interpretation of a Natural language text. Various supervised learning-based models and knowledge-based models have been developed in the literature for WSD of the language ...
Archana Kumari, D.K. Lobiyal
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Exploiting Semantic Role Resources for Preposition Disambiguation [PDF]
Computational Linguistics, 2009 This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs.
Tom O'Hara, Janyce Wiebe
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IEEE Access, 2023 The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah +1 more
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