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A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain
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In: Information ; Volume 12 ; Issue 11 (2021)
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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.
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Keyword:
knowledge-based method; natural language processing; ontology; question answering systems; word sense disambiguation; WordNet
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URL: https://doi.org/10.3390/info12110452
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| 2 |
Word Sense Disambiguation Using Cosine Similarity Collaborates with Word2vec and WordNet
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In: Future Internet ; Volume 11 ; Issue 5 (2019)
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| 3 |
Knowledge-Based Method for Word Sense Disambiguation by Using Hindi WordNet ...
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| 4 |
Knowledge-Based Method for Word Sense Disambiguation by Using Hindi WordNet ...
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| 5 |
La polysémie régulière dans WordNet
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In: Actes de TALN 2008 ; TALN 2008 - 15eme conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-00611243 ; TALN 2008 - 15eme conférence sur le Traitement Automatique des Langues Naturelles, Jun 2008, Avignon, France. pp. 101-108 (2008)
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| 6 |
Automatic generation of a coarse grained WordNet
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In: North American Chapter of the Association for Computational Linguistics Workshop, 2001, Pittsburgh, Pennsylvania, United States (2001)
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| 7 |
An Iterative Approach to Word Sense Disambiguation
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In: Florida Artificial Intelligence Research Society (FLAIRS) Conference, 2000, Orlando, Florida, United States (2000)
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| 8 |
A Method for Word Sense Disambiguation of Unrestricted Text
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In: Thirty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 1999, College Park, Maryland, United States (1999)
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| 9 |
Word Sense Disambiguation based on Semantic Density
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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)
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| 10 |
Proceedings of the Twenty-Fourth Conference on Computational Linguistics and Speech Processing (ROCLING 2012) Associating Collocations with WordNet Senses Using Hybrid Models �
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In: http://wing.comp.nus.edu.sg/~antho/O/O12/O12-1006.pdf
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| 11 |
WikiSense: Supersense Tagging of Wikipedia Named Entities Based
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In: http://www.aclweb.org/anthology-new/Y/Y09/Y09-1009.pdf
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| 12 |
The Conference Participant Advisor Service in a Virtual Information and Knowledge Environment Framework
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In: http://ceur-ws.org/Vol-187/19.pdf
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