1 |
Source or target first? Comparison of two post-editing strategies with translation students
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
|
|
|
|
In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Neural-based Knowledge Transfer in Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
6 |
A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Enhance Text-to-Text Transfer Transformer with Generated Questions for Thai Question Answering
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
|
|
BASE
|
|
Show details
|
|
8 |
English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
10 |
Improving Reader Motivation with Machine Learning
|
|
|
|
In: Electronic Thesis and Dissertation Repository (2021)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
13 |
Computing the Affective-Aesthetic Potential of Literary Texts ...
|
|
|
|
BASE
|
|
Show details
|
|
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
|
|
BASE
|
|
Show details
|
|
15 |
Using Machine Learning to Predict Children’s Reading Comprehension from Lexical and Syntactic Features Extracted from Spoken and Written Language
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Computing the Affective-Aesthetic Potential of Literary Texts
|
|
|
|
In: AI ; Volume 1 ; Issue 1 ; Pages 2-27 (2019)
|
|
BASE
|
|
Show details
|
|
17 |
A Psychometric Tool for a Virtual Reality Rehabilitation Approach for Dyslexia
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Mistaking minds and machines: How speech affects dehumanization and anthropomorphism.
|
|
|
|
In: Journal of experimental psychology. General, vol 145, iss 11 (2016)
|
|
BASE
|
|
Show details
|
|
19 |
An Automatically Generated Lexical Knowledge Base with Soft Definitions ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Methods for open information extraction and sense disambiguation on natural language text ; Methoden der Offenen Informationsextraktion und Bedeutungsdisambiguierung in Texten
|
|
|
|
BASE
|
|
Show details
|
|
|
|