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Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French
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In: ISSN: 0142-7164 ; EISSN: 1469-1817 ; Applied Psycholinguistics ; https://hal-amu.archives-ouvertes.fr/hal-03549026 ; Applied Psycholinguistics, Cambridge University Press (CUP), 2022, pp.1-28. ⟨10.1017/S014271642100062X⟩ (2022)
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Interference in processing of Czech intraclausal garden-path structures - yes/no questions ...
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Agreement attraction in English and Czech: A direct experimental comparison ...
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Interference in processing of Czech intraclausal garden-path structures - open-ended questions ...
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| 5 |
Use of Parsing Heuristics in the Comprehension of Passive Sentences: Evidence from Dyslexia and Individual Differences
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In: Brain Sciences; Volume 12; Issue 2; Pages: 209 (2022)
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FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
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In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
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| 7 |
Literacy Acquisition Trajectories in Bilingual Language Minority Children and Monolingual Peers with Similar or Different SES: A Three-Year Longitudinal Study
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In: Brain Sciences; Volume 12; Issue 5; Pages: 563 (2022)
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| 8 |
Reading Strategy Intervention and Reading Comprehension Success in Bilingual Readers
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In: Electronic Thesis and Dissertation Repository (2022)
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READING COMPREHENSION CONSTRAINS WORD READING: A TONGUE TWISTER STUDY BY MODERATING ATTENTIONAL CONTROL
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In: Theses and Dissertations--Linguistics (2022)
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| 10 |
Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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| 11 |
Improving EFL ninth graders’ reading comprehension through thieves learning strategy
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 232-258 (2022) (2022)
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| 12 |
Comprensión de lectura, reconocimiento de palabras y fluidez lectora en escolares de sexto año básico
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0718-5758, Nº. 55, 2022, pags. 156-173 (2022)
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| 13 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 14 |
INVESTIGATING THE COMPARATIVE EFFECTS OF SUSTAINED SILENT READING, ASSISTED REPEATED READING, AND TRADITIONAL READING
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In: TEFLIN Journal, Vol 33, Iss 1, Pp 173-200 (2022) (2022)
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| 15 |
Integrating Mind-Mapping Collaborated with Think-Pair-Share to Teach Reading Comprehension in Descriptive Text
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In: PAROLE: Journal of Linguistics and Education; Vol 12, No 1 (2022): Volume 12 Number 1 April 2022; 119-129 ; 23380683 ; 2087-345X (2022)
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| 16 |
English machine reading comprehension: new approaches to answering multiple-choice questions
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Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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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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Abstract:
Reading comprehension is often tested by measuring a person or system’s ability to answer questions about a given text. Machine reading comprehension datasets have proliferated in recent years, particularly for the English language. The aim of this thesis is to investigate and improve data-driven approaches to automatic reading comprehension. Firstly, I provide a full classification of question and answer types for the reading comprehension task. I also present a systematic overview of English reading comprehension datasets (over 50 datasets). I observe that the majority of questions were created using crowdsourcing and the most popular data source is Wikipedia. There is also a lack of why, when, and where questions. Additionally, I address the question “What makes a dataset difficult?” and highlight the difference between datasets created for people and datasets created for machine reading comprehension. Secondly, focusing on multiple-choice question answering, I propose a computationally light method for answer selection based on string similarities and logistic regression. At the time (December 2017), the proposed approach showed the best performance on two datasets (MovieQA and MCQA: IJCNLP 2017 Shared Task 5 Multi-choice Question Answering in Examinations) outperforming some CNN-based methods. Thirdly, I investigate methods for Boolean Reading Comprehension tasks including the use of Knowledge Graph (KG) information for answering questions. I provide an error analysis of a transformer model’s performance on the BoolQ dataset. This reveals several important issues such as unstable model behaviour and some issues with the dataset itself. Experiments with incorporating knowledge graph information into a baseline transformer model do not show a clear improvement due to a combination of the model’s ability to capture new information, inaccuracies in the knowledge graph, and imprecision in entity linking. Finally, I develop a Boolean Reading Comprehension dataset based on spontaneously user-generated questions and reviews which is extremely close to a real-life question-answering scenario. I provide a classification of question difficulty and establish a transformer-based baseline for the new proposed dataset.
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Keyword:
Artificial intelligence; Computational linguistics; Information retrieval; Machine learning; machine reading comprehension; question answering; transformer language models
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URL: http://doras.dcu.ie/26534/
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| 17 |
Comprehension Monitoring: The Metacognitive Process of Reading Comprehension Examined via Eye-Movement Methodology
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| 18 |
Methodological Issues in Literacy Research Across Languages: Evidence From Alphabetic Orthographies
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In: ISSN: 0034-0553 ; Reading Research Quarterly ; https://hal.archives-ouvertes.fr/hal-03351326 ; Reading Research Quarterly, International Reading Association, 2021, S1 (S1), pp.S351-S370. ⟨10.1002/rrq.407⟩ (2021)
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| 19 |
Home attributes that relate to language and literacy attainments: A systematic review of studies from low- and middle-income countries ...
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A systematic review of reading-while-listening in foreign language learners ...
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