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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders Devanna, P; Chen, X S; Ho, J. - 2021 BASE Show details 2 Natural SQL: Making SQL Easier to Infer from Natural Language Specifications Gan, Y; Chen, X; Xie, J. - 2021 BASE Show details 3 Towards Robustness of Text-to-SQL Models against Synonym Substitution Gan, Y; Chen, X; Huang, Q. - 2021 BASE Show details 4 Correcting Knowledge Base Assertions Chen, J.; Chen, X.; Horrocks, I.. - : Association for Computing Machinery, 2020 BASE Show details 5 Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W.... In: Eur Phys J C Part Fields (2020) BASE Show details 6 The relationship between English proficiency and humour appreciation among English L1 users and Chinese L2 users of English Chen, X.; Dewaele, Jean-Marc. - : De Gruyter, 2019 BASE Show details 7 The flowering of positive psychology in Foreign Language Teaching and Acquisition research Dewaele, Jean-Marc; Chen, X.; Padilla, A.. - : Frontiers Media, 2019 BASE Show details 8 Exploiting future word contexts in neural network language models for speech recognition Chen, X.; Liu, X.; Wang, Y.. - : Institute of Electrical and Electronics Engineers (IEEE), 2019 BASE Show details 9 Survival percentages of atraumatic restorative treatment (ART) restorations and sealants in posterior teeth: an updated systematic review and meta-analysis [<Journal>] Amorim, R. G. de [Verfasser]; Frencken, J. E. [Verfasser]; Raggio, D. P. [Verfasser]. DNB Subject Category Language Show details 10 Disparities in Diabetes Care Quality by English Language Preference in Community Health Centers Leung, LB; Vargas-Bustamante, A; Martinez, AE... In: Leung, LB; Vargas-Bustamante, A; Martinez, AE; Chen, X; & Rodriguez, HP. (2018). Disparities in Diabetes Care Quality by English Language Preference in Community Health Centers. Health Services Research, 53(1), 509 - 531. doi:10.1111/1475-6773.12590. UCLA: Retrieved from: http://www.escholarship.org/uc/item/40x4d7fn (2018) BASE Show details 11 Phonetic and graphemic systems for multi-genre broadcast transcription Wang, Y.; Chen, X.; Gales, M.J.F.. - : IEEE, 2018 BASE Show details 12 Active memory networks for language modeling Chen, O.; Ragni, A.; Gales, M.. - : International Speech Communication Association (ISCA), 2018 BASE Show details 13 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2018 BASE Show details 14 Phonetic and graphemic systems for multi-genre broadcast transcription ... Wang, Yu; Chen, X; Gales, Mark. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 15 Phonetic and graphemic systems for multi-genre broadcast transcription Wang, Yu; Chen, X; Gales, Mark. - : IEEE, 2018. : https://ieeexplore.ieee.org/document/8462353, 2018. : ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2018 BASE Show details 16 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2017 BASE Show details 17 Investigating bidirectional recurrent neural network language models for speech recognition Chen, X.; Ragni, A.; Liu, X.; Gales, M.J.F.. - : International Speech Communication Association (ISCA), 2017 Abstract: Recurrent neural network language models (RNNLMs) are powerful language modeling techniques. Significant performance improvements have been reported in a range of tasks including speech recognition compared to n-gram language models. Conventional n-gram and neural network language models are trained to predict the probability of the next word given its preceding context history. In contrast, bidirectional recurrent neural network based language models consider the context from future words as well. This complicates the inference process, but has theoretical benefits for tasks such as speech recognition as additional context information can be used. However to date, very limited or no gains in speech recognition performance have been reported with this form of model. This paper examines the issues of training bidirectional recurrent neural network language models (bi-RNNLMs) for speech recognition. A bi-RNNLM probability smoothing technique is proposed, that addresses the very sharp posteriors that are often observed in these models. The performance of the bi-RNNLMs is evaluated on three speech recognition tasks: broadcast news; meeting transcription (AMI); and low-resource systems (Babel data). On all tasks gains are observed by applying the smoothing technique to the bi-RNNLM. In addition consistent performance gains can be obtained by combining bi-RNNLMs with n-gram and uni-directional RNNLMs. URL: https://www.isca-speech.org/archive/Interspeech_2017/abstracts/0513.html http://eprints.whiterose.ac.uk/152811/8/Chen%20et%20al%202017%20Investigating%20bidirectional%20recurrent%20neural%20network%20ISCA.PDF http://eprints.whiterose.ac.uk/152811/ BASE Hide details 18 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 BASE Show details 19 Developing Universal Dependencies for Mandarin Chinese Leung, H.; Poiret, R.; Wong, T.... In: The 12th Workshop on Asian Language Resources ; https://halshs.archives-ouvertes.fr/halshs-01509329 ; The 12th Workshop on Asian Language Resources, 2016, Osaka, Japan (2016) BASE Show details 20 Multi-language neural network language models Ragni, A.; Dakin, E.; Chen, X.. - : International Speech Communication Association (ISCA), 2016 BASE Show details Page: 1 2

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