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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 33 1 Neighborhood Matching Network for Entity Alignment Wu, Y; Liu, X; Feng, Y. - : The Association for Computational Linguistics, 2020 BASE Show details 2 Understanding (Mis)Behavior on the EOSIO Blockchain Huang, Y; Wang, H; Wu, L. - 2020 BASE Show details 3 Hemipustulopora tuoyuan Liu & Liu & Zágoršek 2019, n. sp. ... Liu, H.; Liu, X.; Zágoršek, K.. - : Zenodo, 2019 BASE Show details 4 Hemipustulopora tuoyuan Liu & Liu & Zágoršek 2019, n. sp. ... Liu, H.; Liu, X.; Zágoršek, K.. - : Zenodo, 2019 BASE Show details 5 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 6 Jointly Learning Entity and Relation Representations for Entity Alignment Wu, Y; Liu, X; Feng, Y. - : Association for Computational Linguistics, 2019 BASE Show details 7 Ensuring interpreting quality in legal and courtroom settings: Australian Language Service Providers’ perspectives on their role Liu, X; Stern, L. - : Roehampton University, 2019 BASE Show details 8 See you in court: How do Australian institutions train legal interpreters? Stern, L; Liu, X. - : Taylor & Francis (Routledge), 2019 BASE Show details 9 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2018 BASE Show details 10 ATTITUDES TOWARD HOSPICE CARE: A COMPARISON OF CANTONESE- AND MANDARIN-SPEAKING CHINESE AMERICAN OLDER ADULTS Liu, X; Berkman, C. - : Oxford University Press, 2018 BASE Show details 11 Achieving accuracy in a bilingual courtroom: the effectiveness of specialised legal interpreter training Hale, SB; Liu, X. - : Taylor & Francis (Routledge), 2018 BASE Show details 12 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2017 BASE Show details 13 Investigating bidirectional recurrent neural network language models for speech recognition Chen, X.; Ragni, A.; Liu, X.. - : International Speech Communication Association (ISCA), 2017 BASE Show details 14 Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript) Chen, X; Liu,X; Gales,M J F; Woodland,P C. - 2016 Abstract: Recurrent neural network language models (RNNLMs) have become an increasingly popular choice for speech and language processing tasks including automatic speech recognition (ASR). As the generalization patterns of RNNLMs and n-gram LMs are inherently different, RNNLMs are usually combined with n-gram LMs via a fixed weighting based linear interpolation in state-of-the-art ASR systems. However, previous work doesn't fully exploit the difference of modelling power of the RNNLMs and n-gram LMs as n-gram level changes. In order to fully exploit the detailed n-gram level complementary attributes between the two LMs, a back-off based compact representation of n-gram dependent interpolation weights is proposed in this paper. This approach allows weight parameters to be robustly estimated on limited data. Experimental results are reported on the three tasks with varying amounts of training data. Small and consistent improvements in both perplexity and WER were obtained using the proposed interpolation approach over the baseline fixed weighting based linear interpolation. ; 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) , 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) , 13 Dec 2015, 17 Dec 2015, Presented at the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), held in Scottsdale, AZ on 12-17 December 2015. Keyword: algorithms; artificial intelligence software; artificial neural networks; automated speech recognition; clustering; context; context modeling; digital data; history; IARPA Collection; interpolation; language model interpolation; machine translation; natural languages; perplexity; probability; probability distributions; recurrent neural network; rnnlms(Recurrent neural network language models); robustness; speech recognition; Statistics and Probability; vocabulary; Voice Communications URL: http://www.dtic.mil/docs/citations/AD1038537 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1038537 BASE Hide details 15 Sentiment analysis: text, pre-processing, reader views and cross domains Haddi, Emma. - : Brunel University London, 2015 BASE Show details 16 Facial landmark localization by curvature maps and profile analysis Lippold, C. (Carsten); Liu, X. (Xiang); Wangdo, K. (Kim). - 2015 BASE Show details 17 Paraphrastic recurrent neural network language models Liu, X; Chen, X; Gales, Mark. - : IEEE, 2015. : ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2015 BASE Show details 18 Paraphrastic language models Liu, X.; Gales, M.J.F.; Woodland, P.C. In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 6, 1298-1316 OLC Linguistik Show details 19 Use of contexts in language model interpolation and adaptation Liu, X.; Gales, M.J.F.; Woodland, P.C. In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 301-321 OLC Linguistik Show details 20 Language model cross adaptation for LVCSR system combination Liu, X.; Gales, M.J.F.; Woodland, P.C. In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 4, 928-942 OLC Linguistik Show details Page: 1 2

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