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1
Source or target first? Comparison of two post-editing strategies with translation students
In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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2
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
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3
Neural-based Knowledge Transfer in Natural Language Processing
Wang, Chao. - 2022
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4
English machine reading comprehension: new approaches to answering multiple-choice questions
Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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5
On the Role of Low-Level Linguistic Tasks for Reading Time Prediction
In: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) ; 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03303689 ; 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria. pp.452 ; https://cognitivesciencesociety.org/cogsci-2021/ (2021)
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6
A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning
In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
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7
Enhance Text-to-Text Transfer Transformer with Generated Questions for Thai Question Answering
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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8
English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Vogel, Carl; Foster, Jennifer; Dzendzik, Daria. - : Association for Computational Linguistics, 2021
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9
A Reception Study of Machine-Translated Easy Language Text by Individuals with Reading Difficulties
In: 3rd International Conference on Translation, Interpreting and Cognition (ICTIC3) (2021) (2021)
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10
Improving Reader Motivation with Machine Learning
In: Electronic Thesis and Dissertation Repository (2021)
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11
Cross-lingual and cross-domain evaluation of Machine Reading Comprehension with Squad and CALOR-Quest corpora
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02973245 ; LREC 2020, May 2020, MARSEILLE, France. pp.5491-5497 ; https://lrec2020.lrec-conf.org/en/ (2020)
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12
Digital Epigraphy. Tra automazione e singolarizzazione
In: Lexicon Philosophicum: International Journal for the History of Texts and Ideas; Nr. 7 (2019): Lexicon Philosophicum ; Lexicon Philosophicum: International Journal for the History of Texts and Ideas; No. 7 (2019): Lexicon Philosophicum ; Lexicon Philosophicum: International Journal for the History of Texts and Ideas; Núm. 7 (2019): Lexicon Philosophicum ; Lexicon Philosophicum: International Journal for the History of Texts and Ideas; N. 7 (2019): Lexicon Philosophicum ; 2283-7833 (2020)
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13
Computing the Affective-Aesthetic Potential of Literary Texts ...
Jacobs, Arthur M.; Kinder, Annette. - : Freie Universität Berlin, 2020
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14
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated! ; First Workshop on Insights from Negative Results in NLP
Vogel, Carl. - : Association for Computational Linguistics, 2020
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15
Using Machine Learning to Predict Children’s Reading Comprehension from Lexical and Syntactic Features Extracted from Spoken and Written Language
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16
Computing the Affective-Aesthetic Potential of Literary Texts
In: AI ; Volume 1 ; Issue 1 ; Pages 2-27 (2019)
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17
A Psychometric Tool for a Virtual Reality Rehabilitation Approach for Dyslexia
Pedroli, Elisa; Padula, Patrizia; Guala, Andrea. - : Hindawi Limited, 2017
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18
Mistaking minds and machines: How speech affects dehumanization and anthropomorphism.
In: Journal of experimental psychology. General, vol 145, iss 11 (2016)
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19
An Automatically Generated Lexical Knowledge Base with Soft Definitions ...
Scaiano, Martin. - : Université d'Ottawa / University of Ottawa, 2016
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20
Methods for open information extraction and sense disambiguation on natural language text ; Methoden der Offenen Informationsextraktion und Bedeutungsdisambiguierung in Texten
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