1 |
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
|
|
|
|
In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Neural-based Knowledge Transfer in Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
3 |
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
|
|
4 |
A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
|
|
BASE
|
|
Show details
|
|
5 |
Enhance Text-to-Text Transfer Transformer with Generated Questions for Thai Question Answering
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
|
|
BASE
|
|
Show details
|
|
6 |
English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
7 |
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
|
|
8 |
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
|
|
9 |
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
|
|
10 |
Using Machine Learning to Predict Children’s Reading Comprehension from Lexical and Syntactic Features Extracted from Spoken and Written Language
|
|
|
|
BASE
|
|
Show details
|
|
11 |
An Automatically Generated Lexical Knowledge Base with Soft Definitions ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
|
|
|
|
In: DTIC (2005)
|
|
BASE
|
|
Show details
|
|
14 |
Scruffy Text Understanding: Design and Implementation of the NOMAD System
|
|
|
|
In: DTIC AND NTIS (1983)
|
|
BASE
|
|
Show details
|
|
15 |
Understanding and Representing Natural Language Meaning.
|
|
|
|
In: DTIC AND NTIS (1982)
|
|
BASE
|
|
Show details
|
|
16 |
A Computer Program for Assessing Readability.
|
|
|
|
In: DTIC AND NTIS (1980)
|
|
BASE
|
|
Show details
|
|
17 |
An Interactive Activation Model of the Effect of Context in Perception. Part 2
|
|
|
|
In: DTIC AND NTIS (1980)
|
|
BASE
|
|
Show details
|
|
18 |
Development and Validation of an Equation for Predicting the Comprehensibility of Textual Material.
|
|
|
|
In: DTIC AND NTIS (1977)
|
|
BASE
|
|
Show details
|
|
19 |
Further Experiments in Language Translation: A Second Evaluation of the Readability of Computer Translations
|
|
|
|
In: DTIC AND NTIS (1971)
|
|
BASE
|
|
Show details
|
|
20 |
Arabic QA4MRE at CLEF 2012: Arabic Question Answering for Machine Reading Evaluation
|
|
|
|
In: http://www.clef-initiative.eu/documents/71612/fd39b026-547a-4974-a7de-a99b6b3e8564/
|
|
BASE
|
|
Show details
|
|
|
|