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The role of object novelty and pragmatic reasoning in referent selection and word learning (Study 2b) ...
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Disambiguation of Medical Abbreviations in French with Supervised Methods
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In: Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-03335532 ; Studies in Health Technology and Informatics, 2021, ⟨10.3233/shti210171⟩ (2021)
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The role of object novelty and nameability in disambiguation and word learning ...
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Perceptual vowel contrast reduction in Australian English /l/-final rimes
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 9 ; 1868-6354 (2021)
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Italian Sense Inventory
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Poli, Francesca. - : Università di Pisa, 2021. : Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR), 2021
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Not this, but that.' Exploring disambiguation in the context of multilingual word learning ...
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Word Sense Disambiguation Using Prior Probability Estimation Based on the Korean WordNet
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In: Electronics; Volume 10; Issue 23; Pages: 2938 (2021)
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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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The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding
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In: ISPRS International Journal of Geo-Information ; Volume 10 ; Issue 9 (2021)
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Improving the Performance of Vietnamese&ndash ; Korean Neural Machine Translation with Contextual Embedding
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In: Applied Sciences ; Volume 11 ; Issue 23 (2021)
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NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense
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In: Big Data and Cognitive Computing ; Volume 5 ; Issue 4 (2021)
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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TERMS AND TEXTS: THE FUNCTIONALITY OF EDITORIAL-POLYGRAPHIC TERMS ...
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TERMS AND TEXTS: THE FUNCTIONALITY OF EDITORIAL-POLYGRAPHIC TERMS ...
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Not this, but that.' Exploring disambiguation in the context of multilingual word learning
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Semantically-oriented text planning for automatic summarization
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In: TDX (Tesis Doctorals en Xarxa) (2021)
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