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Neural Question Answering Models with Broader Knowledge Scope and Deeper Reasoning Power
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English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Question Answering with Hybrid Data and Models ; Question-réponse utilisant des données et modèles hybrides
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In: https://tel.archives-ouvertes.fr/tel-02890467 ; Document and Text Processing. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASS024⟩ (2020)
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Bilingual Dataset for Information Retrieval and Question Answering over the Spanish Workers Statute ...
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Bilingual Dataset for Information Retrieval and Question Answering over the Spanish Workers Statute ...
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Cross-lingual Training for Multiple-Choice Question Answering ; Entrenamiento Croslingüe para Búsqueda de Respuestas de Opción Múltiple
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QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users
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In: WWW '19 The World Wide Web Conference ; The Web Conference ; https://hal.archives-ouvertes.fr/hal-02121400 ; The Web Conference, May 2019, San Francisco, United States. ⟨10.1145/3308558.3314124⟩ (2019)
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WWW'18 open challenge: financial opinion mining and question answering
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Ways to be a Good Consultant: Answer Ranking in Medical Domain
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A framework for generating informative answers for Question Answering systems
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Knowledge Authoring and Question Answering via Controlled Natural Language
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Gao, Tiantian. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : OASIcs - OpenAccess Series in Informatics. Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018), 2018
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A multingual approach to question classification
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In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) / Calzolari, Nicoletta et al. (Hrsg.). - Paris : ELRA, 2018. - S. 2715-2720 (2018)
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Simple Convolutional Neural Networks with Linguistically-Annotated Input for Answer Selection in Question Answering
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Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing
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In: Keller, Thomas Anderson. (2017). Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing. UC San Diego: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/0wg0r7hn (2017)
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Question Type Recognition Using Natural Language Input
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In: Master's Projects (2017)
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RAPPORT: A Fact-Based Question Answering System for Portuguese
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Qanary – the Fast Track to Creating a Question Answering System with Linked Data Technology
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In: ESWC 2016 ; https://hal.archives-ouvertes.fr/hal-01637054 ; ESWC 2016, May 2016, Heraklion, Greece (2016)
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"Who was Pietro Badoglio?" Towards a QA system for Italian History
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LIMSI-CNRS@ CLEF 2015: Tree Edit Beam Search for Multiple Choice Question Answering.
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In: Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum ; CLEF 2015 ; https://hal.archives-ouvertes.fr/hal-02289246 ; CLEF 2015, Sep 2015, Toulouse, France ; http://ceur-ws.org/Vol-1391/ (2015)
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