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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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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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Abstract:
An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of the content or what it indicates. Many researchers tried to improve IR systems either using the named entity recognition (NER) technique or the words’ meaning (word sense) and implemented the improvements with a specific language. However, they did not test the IR system using NER and word sense disambiguation together to study the behavior of this system in the presence of these techniques. This paper aims to improve the information retrieval system used by the DLMS by adding the NER and word sense disambiguation (WSD) together for the English and Arabic languages. For NER, a voting technique was used among three completely different classifiers: rules-based, conditional random field (CRF), and bidirectional LSTM-CNN. For WSD, an examples-based method was used to implement it for the first time with the English language. For the IR system, a vector space model (VSM) was used to test the information retrieval system, and it was tested on samples from the library of the University of Kufa for the Arabic and English languages. The overall system results show that the precision, recall, and F-measures were increased from 70.9%, 74.2%, and 72.5% to 89.7%, 91.5%, and 90.6% for the English language and from 66.3%, 69.7%, and 68.0% to 89.3%, 87.1%, and 88.2% for the Arabic language.
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Keyword:
digital library management system; information retrieval system; named entity recognition; word sense disambiguation
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URL: https://doi.org/10.3390/bdcc5040059
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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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Disambiguating a Disambiguation Tool: "Babelfy" from a Linguistic Point of View
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In: RAEL: revista electrónica de lingüística aplicada, ISSN 1885-9089, Vol. 20, Nº. 1, 2021, pags. 71-93 (2021)
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