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1
A community-sourced glossary of open scholarship terms
Parsons, S; Azevedo, F; Elsherif, MM. - : Nature Research, 2022
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2
Saying 'no' in emails in Mandarin Chinese and Australian English
Li, W. - : De Gruyter Mouton, 2022
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3
Knowledge distillation for quality estimation
Gajbhiye, A.; Fomicheva, M.; Alva-Manchego, F.. - : Association for Computational Linguistics (ACL), 2021
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4
Whose Karate? Language and cultural learning in a multilingual Karate club in London
Ankowicz-Pytel, D.; Zhu, Hua; Li, W.. - : Oxford Journals, 2020
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5
Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
In: Eur Phys J C Part Fields (2020)
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6
Tranßcripting: playful subversion with Chinese characters
Zhu, Hua; Li, W.. - : Taylor and Francis, 2019
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7
Translating culture in global times: dialogues
Zhu, Hua; Kramsch, C.; Gramling, D.. - : Oxford Journals, 2019
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8
Intercultural moments in translating and humanising the socio-legal system
Zhu, Hua; Li, W.; Jankowicz-Pytel, D.. - : Taylor & Francis, 2019
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9
Imagination as a key factor in LMLS in transnational families
Zhu, Hua; Li, W.. - : De Gruyter, 2019
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10
Requests made by Australian learners of Chinese as a foreign language
Jiang, W; Li, W. - : Academy Publication Co., Ltd, 2019
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11
Editorial: The three editors
Baker, C.; Dewaele, Jean-Marc; Li, W.. - : Taylor and Francis, 2018
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12
Linking up learners of Chinese with native speakers through WeChat in an Australian tertiary CFL curriculum
Jiang, W; Li, W. - : Springer, 2018
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13
Pragmatic Transfer and Development
Li, W. - : John Benjamins Publishing Company, 2018
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14
Generalizing GANs: A Turing Perspective
Abstract: Recently, a new class of machine learning algorithms has emerged, where models and discriminators are generated in a competitive setting. The most prominent example is Generative Adversarial Networks (GANs). In this paper we examine how these algorithms relate to the famous Turing test, and derive what—from a Turing perspective—can be considered their defining features. Based on these features, we outline directions for generalizing GANs—resulting in the family of algorithms referred to as Turing Learning. One such direction is to allow the discriminators to interact with the processes from which the data samples are obtained, making them “interrogators”, as in the Turing test. We validate this idea using two case studies. In the first case study, a computer infers the behavior of an agent while controlling its environment. In the second case study, a robot infers its own sensor configuration while controlling its movements. The results confirm that by allowing discriminators to interrogate, the accuracy of models is improved.
URL: http://papers.nips.cc/paper/7211-generalizing-gans-a-turing-perspective
http://eprints.whiterose.ac.uk/123554/
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15
Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text]
Sirunyan, A. M.; Tumasyan, A.; Adam, W.. - : Springer Berlin Heidelberg, 2017
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16
Transnational experience, aspiration and family language policy
In: Journal of Multilingual and Multicultural Development (2016) (In press). (2016)
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17
A sociopragmatic analysis of email requests in Mandarin Chinese and Australian English
Li, W. - : Brill, 2015
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18
A sociopragmatic analysis of email requests in mandarin Chinese and Australian English
Li, W.. - : Brill - Rodopi, 2015
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19
Spoken Document Retrieval and Text Mining - Sequential Summarization: A Full View of Twitter Trending Topics
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 293-302
OLC Linguistik
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20
Sequential Summarization: A Full View of Twitter Trending Topics
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 293
OLC Linguistik
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