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1
Responding to supervisory feedback: Mediated positioning in thesis writing
Zhang, Yan (Olivia); Hyland, Ken. - 2022
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2
Neural Mechanisms of Subliminal Mentor-Student Relationship Stimuli Processing: An ERP Study
In: Int J Environ Res Public Health (2022)
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3
Revisiting Self-training for Few-shot Learning of Language Model ...
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4
DynaEval: Unifying Turn and Dialogue Level Evaluation ...
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5
Bootstrapped Unsupervised Sentence Representation Learning ...
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6
Linguistic features and consumer credibility judgment of online health information
Liu, Jiaying; Song, Shijie; Zhang, Yan. - : iSchools, 2021
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7
Advice-giving, power and roles in theses supervisions
Zhang, Yan (Olivia); Hyland, Ken. - 2021
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8
Elements of doctoral apprenticeship: community feedback and the acquisition of writing expertise
Zhang, Yan (Olivia); Hyland, Ken. - 2021
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9
Comparative research on the conception of destiny in Greek and Chinese classical Tragedies ; Recherches comparatives sur la conception du destin dans des tragédies classiques grecques et chinoises
Zhang, Yan. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03269984 ; Linguistique. Université de Limoges, 2020. Français. ⟨NNT : 2020LIMO0069⟩ (2020)
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10
Grammar choices for graduate and professional writers (2nd ed.) Nigel A. Caplan Michigan: The university of Michigan Press, 2019. 216 pages. ISBN: 978-0-472-03731-5
In: Ibérica: Revista de la Asociación Europea de Lenguas para Fines Específicos ( AELFE ), ISSN 1139-7241, Nº. 40, 2020, pags. 279-283 (2020)
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11
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 297-312 (2019) (2019)
Abstract: We focus on graph-to-sequence learning, which can be framed as transducing graph structures to sequences for text generation. To capture structural information associated with graphs, we investigate the problem of encoding graphs using graph convolutional networks (GCNs). Unlike various existing approaches where shallow architectures were used for capturing local structural information only, we introduce a dense connection strategy, proposing a novel Densely Connected Graph Convolutional Network (DCGCN). Such a deep architecture is able to integrate both local and non-local features to learn a better structural representation of a graph. Our model outperforms the state-of-the-art neural models significantly on AMR-to-text generation and syntax-based neural machine translation.
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doi.org/10.1162/tacl_a_00269
https://doaj.org/article/f2b7fafd486c43a690860431d00bc558
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12
Operon mRNAs are organized into ORF-centric structures that predict translation efficiency
In: eLife (2018)
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13
An extended Levinson-Durbin algorithm and its application in mixed excitation linear prediction
Xiao, Dong; Mo, Fuyuan; Zhang, Yan. - : Elsevier, 2018
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14
Maritime English as a code-tailored ESP: Genre-based curriculum development as a way out
In: Ibérica: Revista de la Asociación Europea de Lenguas para Fines Específicos ( AELFE ), ISSN 1139-7241, Nº. 35, 2018, pags. 145-170 (2018)
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15
Operon mRNAs are organized into ORF-centric structures that predict translation efficiency
Burkhardt, David H; Rouskin, Silvi; Zhang, Yan. - : eLife Sciences Publications, Ltd, 2017
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16
Query answering with inconsistent existential rules under stable model semantics
Wan, Hai; Zhang, Heng; Xiao, Peng. - : U.S., AAAI Press, 2016
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17
Additional file 1: of A preliminary validation of the Brief COPE instrument for assessing coping strategies among people living with HIV in China ...
Su, Xiao-You; Lau, Joseph; Mak, Winnie. - : Figshare, 2015
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18
Additional file 1: of A preliminary validation of the Brief COPE instrument for assessing coping strategies among people living with HIV in China ...
Su, Xiao-You; Lau, Joseph; Mak, Winnie. - : Figshare, 2015
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19
Recruiting, training and retaining competent overseas English language teachers for private language teaching organisations in China.
Zhang, Yan. - 2015
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20
Location-aware private service discovery in pervasive computing environment
In: Information sciences. - New York, NY : Elsevier Science Inc. 230 (2013), 78-93
OLC Linguistik
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