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1
Domain adaptation and autoencoder based unsupervised speech enhancement
Li, Y.; Sun, Y.; Horoshenkov, K.. - : Institute of Electrical and Electronics Engineers, 2022
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2
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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3
A scientist in interdisciplinary team-teaching in an English for Research Publication Purposes classroom: beyond a “cameo role”
Li, Y.; Cargill, M.; Gao, X.. - : Elevier, 2019
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4
Bayesian learning for neural dependency parsing
Shareghi, E; Li, Y; Zhu, Y. - : NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2019
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5
The role of segments and prosody in the identification of a speaker's dialect ...
Leemann, A; Kolly, MJ; Nolan, Francis. - : Apollo - University of Cambridge Repository, 2018
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6
Outcomes following severe hand foot and mouth disease: A systematic review and meta-analysis
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7
The role of segments and prosody in the identification of a speaker's dialect
Leemann, A; Kolly, MJ; Nolan, Francis. - : Elsevier, 2018. : Journal of Phonetics, 2018
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8
Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus.
In: International Conference on Neural Information ProcessingICONIP 2017: Neural Information Processing ; Neural Information Processing. ICONIP 2017 ; https://hal.archives-ouvertes.fr/hal-01744518 ; Neural Information Processing. ICONIP 2017, Nov 2017, Guangzhou, China. pp.205-212 (2017)
Abstract: International audience ; While most text classification studies focus on monolingual documents, in this article, we propose an empirical study of poly-languages text sentiment classification model, based on Convolutional Networks ConvNets. The novel approach consists on feeding the deep neural network with one input text source composed by reviews all written in different languages, without any code-switching indication, or language translation. We construct a multi-lingual opinion corpus combining three languages: English French and Greek all from Restaurants Reviews. Despite the limited contextual information due to relatively compact text content, no prior knowledge is used. The neural networks exploit n-gram level information, and the experimental results achieve high accuracy for sentiment polarity prediction, both positive and negative, which lead us to deduce that ConvNets features extraction is language independent.
Keyword: [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; ConvNets; Deep learning; Opinion mining; Sentiment analysis
URL: https://hal.archives-ouvertes.fr/hal-01744518
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9
Study on the English corresponding unit of Chinese clause
In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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10
Chapter 8 - Complementary Contributions of Fluid and Crystallized Intelligence to Decision Making Across the Life Span
Zaval, L; Li, Y; Johnson, EJ. - : eScholarship, University of California, 2015
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11
Chapter 8 - Complementary Contributions of Fluid and Crystallized Intelligence to Decision Making Across the Life Span
In: Zaval, L; Li, Y; Johnson, EJ; & Weber, EU. (2015). Chapter 8 - Complementary Contributions of Fluid and Crystallized Intelligence to Decision Making Across the Life Span. In Aging and Decision Making: Empirical and Applied Perspectives. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/08d2g8tv (2015)
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12
Report on the FG 2015 Video Person Recognition Evaluation
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13
The Handbook of Chinese Linguistics
Huang, C. T. James [Verfasser]; Li, Y. H. Audrey [Verfasser]; Simpson, Andrew [Verfasser]. - New York, NY : John Wiley & Sons, 2014
DNB Subject Category Language
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14
The Handbook of Chinese Linguistics
Huang, C. T. James [Verfasser]; Li, Y. H. Audrey [Verfasser]; Simpson, Andrew [Verfasser]. - New York, NY : Wiley, J, 2014
DNB Subject Category Language
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15
The Handbook of Chinese Linguistics
Huang, C. T. James Verfasser]. - New York, NY : John Wiley & Sons, 2014
DNB Subject Category Language
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16
Observation of $Z$ production in proton-lead collisions at LHCb
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17
Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data.
In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014)
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18
Observation of $Z$ production in proton-lead collisions at LHCb
In: Symplectic Elements at Oxford ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; ArXiv (http://arxiv.org/) (2014)
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19
An overview of the BioCreative 2012 Workshop Track III: interactive text mining task ...
Chatr-aryamontri, A.; Li, Y.; Roberts, P.. - : The University of North Carolina at Chapel Hill University Libraries, 2013
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20
GRP-097 Improving the Quality Use of Medicines in China by Developing the Role of the Clinical Hospital Pharmacist: A Systematic Review
Li, Y; Penm, J; Zhai, SD. - : BMJ Publishing Group Ltd, 2013
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