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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain Ammar Arbaaeen; Asadullah Shah In: Information ; Volume 12 ; Issue 11 (2021) Abstract: Within the space of question answering (QA) systems, the most critical module to improve overall performance is question analysis processing. Extracting the lexical semantic of a Natural Language (NL) question presents challenges at syntactic and semantic levels for most QA systems. This is due to the difference between the words posed by a user and the terms presently stored in the knowledge bases. Many studies have achieved encouraging results in lexical semantic resolution on the topic of word sense disambiguation (WSD), and several other works consider these challenges in the context of QA applications. Additionally, few scholars have examined the role of WSD in returning potential answers corresponding to particular questions. However, natural language processing (NLP) is still facing several challenges to determine the precise meaning of various ambiguities. Therefore, the motivation of this work is to propose a novel knowledge-based sense disambiguation (KSD) method for resolving the problem of lexical ambiguity associated with questions posed in QA systems. The major contribution is the proposed innovative method, which incorporates multiple knowledge sources. This includes the question’s metadata (date/GPS), context knowledge, and domain ontology into a shallow NLP. The proposed KSD method is developed into a unique tool for a mobile QA application that aims to determine the intended meaning of questions expressed by pilgrims. The experimental results reveal that our method obtained comparable and better accuracy performance than the baselines in the context of the pilgrimage domain. Keyword: knowledge-based method; natural language processing; ontology; question answering systems; word sense disambiguation; WordNet URL: https://doi.org/10.3390/info12110452 BASE Hide details 2 Word Sense Disambiguation Using Cosine Similarity Collaborates with Word2vec and WordNet Korawit Orkphol; Wu Yang In: Future Internet ; Volume 11 ; Issue 5 (2019) BASE Show details 3 Crowdsourcing lexical semantic judgements from bilingual dictionary users Fothergill, Richard James. - 2017 BASE Show details 4 Unsupervised all-words sense distribution learning Bennett, Andrew. - 2016 BASE Show details 5 A Gloss Composition and Context Clustering Based Distributed Word Sense Representation Model Tao Chen; Ruifeng Xu; Yulan He... In: Entropy ; Volume 17 ; Issue 9 ; Pages 6007-6024 (2015) BASE Show details 6 Towards a Domain Independent Semantics: Enhancing Semantic Representation with Construction Grammar Hwang, Jena D.; Nielsen, Rodney D.; Palmer, Martha In: NAACL HLT Workshop on Extracting and Using Constructions in Computational Linguistics, June 6, 2010. Los Angeles, California. (2010) BASE Show details 7 An Investigation of Word Sense Disambiguation for Improving Lexical Chaining Enss, Matthew. - : University of Waterloo, 2007 BASE Show details 8 An Investigation of Word Sense Disambiguation for Improving Lexical Chaining Enss, Matthew. - : University of Waterloo, 2006 BASE Show details 9 SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text Mihalcea, Rada, 1974-; Faruque, Ehsanul In: Association for Computational Linguistics (ACL)/SIGLEX Senseval-3 Conference, 2004, Barcelona, Spain (2004) BASE Show details 10 Automatic generation of a coarse grained WordNet Mihalcea, Rada, 1974-; Moldovan, Dan I. In: North American Chapter of the Association for Computational Linguistics Workshop, 2001, Pittsburgh, Pennsylvania, United States (2001) BASE Show details 11 Improving the Search on the Internet by Using WordNet and Lexical Operators Moldovan, Dan I.; Mihalcea, Rada, 1974- In: IEEE Internet Computing, 2000, New York: Institute of Electrical and Electronics Engineers (1999) BASE Show details 12 A Method for Word Sense Disambiguation of Unrestricted Text Mihalcea, Rada, 1974-; Moldovan, Dan I. In: Thirty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 1999, College Park, Maryland, United States (1999) BASE Show details 13 Word Sense Disambiguation based on Semantic Density Mihalcea, Rada, 1974-; Moldovan, Dan I. In: Thirty-Sixth Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics ( COLING-ACL) Workshop, 1998, Montreal, Quebec, Canada (1998) BASE Show details

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