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Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
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In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
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Assessing the impact of OCR noise on multilingual event detection over digitised documents
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In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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Sentence Boundary Extraction from Scientific Literature of Electric Double Layer Capacitor Domain: Tools and Techniques
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1352 (2022)
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Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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Experiences on the Improvement of Logic-Based Anaphora Resolution in English Texts
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In: Electronics; Volume 11; Issue 3; Pages: 372 (2022)
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Topic models do not model topics: epistemological remarks and steps towards best practices
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03261599 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, 2021, ⟨10.46298/jdmdh.7595⟩ (2021)
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Indirectly Named Entity Recognition ; Reconnaissance d'entités indirectement nommées
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In: ISSN: 2530-9455 ; Journal of Computer-Assisted Linguistic Research (JCLR) ; https://hal.archives-ouvertes.fr/hal-03476411 ; Journal of Computer-Assisted Linguistic Research (JCLR), Universitat Politècnica de València, 2021, 5 (1), pp.27-46. ⟨10.4995/JCLR.2021.15922⟩ ; https://polipapers.upv.es/index.php/jclr/index (2021)
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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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WEIR-P: An Information Extraction Pipeline for the Wastewater Domain
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In: RCIS 2021 - 5th International Conference on Research Challenges in Information Science ; https://hal.archives-ouvertes.fr/hal-03211461 ; RCIS 2021 - 5th International Conference on Research Challenges in Information Science, May 2021, Virtual, Cyprus (2021)
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Mapping the evolution of topics published by Education for Information. Interdisciplinary Journal of Information Studies
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In: ISSN: 0167-8329 ; Education for Information ; https://hal.archives-ouvertes.fr/hal-03392553 ; Education for Information, IOS Press, 2021 (2021)
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LILLIE : information extraction and database integration using linguistics and learning-based algorithms ...
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Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction
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Jen, Chun-Heng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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Arabic question answering system: a survey
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Abstract:
Question answering is a subfield of information retrieval. It is a task of answering a question posted in a natural language. A question answering system (QAS) may be considered a good alternative to search engines that return a set of related documents. The QAS system is composed of three main modules; question analysis, passage retrieval, and answer extraction. Over the years, numerous QASs have been presented for use in different languages. However, the the development of Arabic QASs has been slowed by linguistic challenges and the lack of resources and tools available to researchers. In this survey, we start with the challenges due to the language and how these challenges make the development of new Arabic QAS more difficult. Next, we do a detailed review of several Arabic QASs. This is followed by an in-depth analysis of the techniques and approaches in the three modules of a QAS. We present an overview of important and recent tools that were developed to help the researchers in this field. We also cover the available Arabic and multilingual datasets, and a look at the different measures used to assess QASs. Finally, the survey delves into the future direction of Arabic QAS systems based on the current state-of-the-art techniques developed for question answering in other languages.
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Keyword:
Answer extraction; Arabic question answering system; Information retrieval; Passage retrieval; Question analysis; Survey
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URL: https://doi.org/10.1007/s10462-021-10031-1 http://researchrepository.napier.ac.uk/Output/2790336
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