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SberQuAD – Russian Reading Comprehension Dataset: Description and Analysis
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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RuBQ: A Russian Dataset for Question Answering over Wikidata
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In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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On sample efficiency and systematic generalization of grounded language understanding with deep learning
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Deep Fusion of Multiple Term-Similarity Measures For Biomedical Passage Retrieval
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To answer questions from text, one has to understand what the question is asking: differential effects of question aids as a function of comprehension skill
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In: ISSN: 0922-4777 ; EISSN: 1573-0905 ; Reading and Writing ; https://hal.archives-ouvertes.fr/hal-03100457 ; Reading and Writing, Springer Verlag, 2019, 32 (8), pp.2111-2124. ⟨10.1007/s11145-019-09943-w⟩ (2019)
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Manhattan Siamese LSTM for Question Retrieval in Community Question Answering
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In: The 18th International Conference on Ontologies, DataBases, and Applications of Semantics ; https://hal.archives-ouvertes.fr/hal-02271338 ; The 18th International Conference on Ontologies, DataBases, and Applications of Semantics, Oct 2019, Rhodès, Greece (2019)
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Enhancing Question Retrieval in Community Question Answering Using Word Embeddings
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In: Enhancing Question Retrieval in Community Question Answering Using Word Embeddings: Proceedings of the 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES2019 ; https://hal.archives-ouvertes.fr/hal-02126846 ; Enhancing Question Retrieval in Community Question Answering Using Word Embeddings: Proceedings of the 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES2019, Sep 2019, Budapest, Hungary (2019)
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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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A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems
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In: International Conference on Knowledge Science, Engineering and Management KSEM 2019 ; https://hal.archives-ouvertes.fr/hal-02465511 ; International Conference on Knowledge Science, Engineering and Management KSEM 2019, Aug 2019, Athènes, Greece. ⟨10.1007/978-3-030-29551-6_54⟩ (2019)
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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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WWW'18 open challenge: financial opinion mining and question answering
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Using Bidirectional Encoder Representations from Transformers for Conversational Machine Comprehension ; Användning av BERT-språkmodell för konversationsförståelse
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Learning natural language interfaces with neural models
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Dong, Li. - : The University of Edinburgh, 2019
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Question answering over knowledge bases with continuous learning
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Understanding & predicting the skills needed to answer a visual question ; Understanding and predicting the skills needed to answer a visual question
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Ways to be a Good Consultant: Answer Ranking in Medical Domain
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Visual question answering with modules and language modeling
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