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Motivating the unmotivated: A self-study about engaging adolescent readers to read for joy before and during a pandemic
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| 82 |
Booktokers: Generar y compartir contenidos sobre libros a través de TikTok
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 71, 2022 (Ejemplar dedicado a: Discursos de odio en comunicación: Investigaciones y propuestas), pags. 119-130 (2022)
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| 83 |
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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| 84 |
Developing an intensive reading material for EFL students: a final product
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 259-275 (2022) (2022)
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| 85 |
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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| 86 |
Neural-based Knowledge Transfer in Natural Language Processing
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Abstract:
In Natural Language Processing (NLP), neural-based knowledge transfer, which is to transfer out-of-domain (OOD) knowledge to task-specific neural networks, has been applied to many NLP tasks. To further explore neural-based knowledge transfer in NLP, in this dissertation, we consider both structured OOD knowledge and unstructured OOD knowledge, and deal with several representative NLP tasks. For structured OOD knowledge, we study the neural-based knowledge transfer in Machine Reading Comprehension (MRC). In single-passage MRC tasks, to bridge the gap between MRC models and human beings, which is mainly reflected in the hunger for data and the robustness to noise, we integrate the neural networks of MRC models with the general knowledge of human beings embodied in knowledge bases. On the one hand, we propose a data enrichment method, which uses WordNet to extract inter-word semantic connections as general knowledge from each given passage-question pair. On the other hand, we propose a novel MRC model named Knowledge Aided Reader (KAR), which explicitly uses the above extracted general knowledge to assist its attention mechanisms. According to the experimental results, KAR is comparable in performance with the state-of-the-art MRC models, and significantly more robust to noise than them. On top of that, when only a subset (20%-80%) of the training examples are available, KAR outperforms the state-of-the-art MRC models by a large margin, and is still reasonably robust to noise. In multi-hop MRC tasks, to probe the strength of Graph Neural Networks (GNNs), we propose a novel multi-hop MRC model named Graph Aided Reader (GAR), which uses GNN methods to perform multi-hop reasoning, but is free of any pre-trained language model and completely end-to-end. For graph construction, GAR utilizes the topic-referencing relations between passages and the entity-sharing relations between sentences, which is aimed at obtaining the most sensible reasoning clues. For message passing, GAR simulates a top-down reasoning and a bottom-up reasoning, which is aimed at making the best use of the above obtained reasoning clues. According to the experimental results, GAR even outperforms several competitors relying on pre-trained language models and filter-reader pipelines, which implies that GAR benefits a lot from its GNN methods. On this basis, GAR can further benefit from applying pre-trained language models, but pre-trained language models can mainly facilitate the within-passage reasoning rather than cross-passage reasoning of GAR. Moreover, compared with the competitors constructed as filter-reader pipelines, GAR is not only easier to train, but also more applicable to the low-resource cases. For unstructured OOD knowledge, we study the neural-based knowledge transfer in Natural Language Understanding (NLU), and focus on the neural-based knowledge transfer between languages, which is also known as Cross-Lingual Transfer Learning (CLTL). To facilitate the CLTL of NLU models, especially the CLTL between distant languages, we propose a novel CLTL model named Translation Aided Language Learner (TALL), where CLTL is integrated with Machine Translation (MT). Specifically, we adopt a pre-trained multilingual language model as our baseline model, and construct TALL by appending a decoder to it. On this basis, we directly fine-tune the baseline model as an NLU model to conduct CLTL, but put TALL through an MT-oriented pre-training before its NLU-oriented fine-tuning. To make use of unannotated data, we implement the recently proposed Unsupervised Machine Translation (UMT) technique in the MT-oriented pre-training of TALL. According to the experimental results, the application of UMT enables TALL to consistently achieve better CLTL performance than the baseline model without using more annotated data, and the performance gain is relatively prominent in the case of distant languages.
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Keyword:
Cross-lingual transfer learning; Graph neural network; Information technology; Knowledge base; Knowledge graph; Knowledge transfer; Machine Reading Comprehension; Multi-hop reasoning; Natural Language Processing; Natural language understanding; Neural network; unsupervised machine translation
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URL: http://hdl.handle.net/10315/39096
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| 87 |
The Influence of a Values Affirmation Intervention on Students' Mathematical, Social, and Epistemological Empowerment
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In: All Graduate Theses and Dissertations (2022)
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| 88 |
Literature in the academic education of the spanish teacher ; La literatura en la formación del profesor de español
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In: Entrepalavras; v. 12, n. 1 (12); 179-196 (2022)
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| 89 |
Hispanic literatures and teaching Spanish: some considerations and suggestions ; Literaturas hispánicas y enseñanza de español: algunas consideraciones y sugerencias
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In: Entrepalavras; v. 12, n. 1 (12); 60-75 (2022)
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| 90 |
An eye-tracking based investigation into on-line reading during Chinese-English sight translation — Effect of word order asymmetry
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In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 14, Iss 1, Pp 66-83 (2022) (2022)
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| 91 |
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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| 92 |
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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| 93 |
The Digital Game for the Learning of Reading Skill
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In: PAROLE: Journal of Linguistics and Education; Vol 12, No 1 (2022): Volume 12 Number 1 April 2022; 50-59 ; 23380683 ; 2087-345X (2022)
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| 94 |
Implementing Reading to Learn (R2L) Pedagogy to Help Indonesian Junior High School Students Generate News Report Text
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In: PAROLE: Journal of Linguistics and Education; Vol 12, No 1 (2022): Volume 12 Number 1 April 2022; 130-137 ; 23380683 ; 2087-345X (2022)
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| 96 |
An ERP investigation of transposed-word effects in same-different matching
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal-amu.archives-ouvertes.fr/hal-03226383 ; Neuropsychologia, Elsevier, 2021, 153, ⟨10.1016/j.neuropsychologia.2021.107753⟩ (2021)
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| 97 |
"The Electric Banana and Sound Archives" ; "The Electric Banana et son archive sonore"
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In: Colloque international “'Courts-circuits et visions disjonctées : œuvre et réseaux de Claude Pélieu/ Short-circuits and Fused Visions : The Works and Networks of Claude Pélieu'" ; https://hal.archives-ouvertes.fr/hal-03453885 ; Colloque international “'Courts-circuits et visions disjonctées : œuvre et réseaux de Claude Pélieu/ Short-circuits and Fused Visions : The Works and Networks of Claude Pélieu'", James Horton; Peggy Pacini; Frank Rynne, Jul 2021, Paris, France ; https://centerinparis.uchicago.edu/events/claude-pelieu-courts-circuits-visions-disjonctees (2021)
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| 98 |
The Relationship Between Chinese EFL Learners’ Reading Self-Efficacy and Use of Metacognitive Reading Strategies
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| 99 |
Effects of multilinguistic word study instruction on word reading and spelling in the first grade: increasing metalinguistic knowledge as an instructional goal
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| 100 |
An examination of reading, reading development and disorder in a highly transparent orthography: the case of Turkish
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