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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 30 1 Brief Stimulus Exposure Fully Remediates Temporal Processing Deficits Induced by Early Hearing Loss Green, David B.; Mattingly, Michelle M.; Ye, Yi. - : Society for Neuroscience, 2017 BASE Show details 2 Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM,” in INTERSPEECH Dilek Hakkani-Tür; Gokhan Tur; Asli Celikyilmaz... In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/IS16_MultiJoint.pdf (2016) BASE Show details 3 EVALUATION OF THE SIGNAL-TO-NOISE RATIO REQUIRED TO ACHIEVE THE SAME PERFORMANCE IN ENGLISH AND MANDARIN CHINESE Ye, Yi. - 2014 BASE Show details 4 Semi-supervised learning of semantic classes for query . . . Ye-yi Wang; Raphael Hoffmann; Xiao Li In: http://research.microsoft.com/pubs/101154/fp0894-wang-webpost.pdf (2009) BASE Show details 5 Acero: A discriminative training framework using N-best speech recognition transcriptions and scores for spoken utterance classification Sibel Yaman; Li Deng; Dong Yu... In: http://www1.icsi.berkeley.edu/~sibel/ICASSP2007SUC.pdf (2007) BASE Show details 6 SGStudio: Rapid Semantic Grammar Development for Spoken Language Understanding Ye-yi Wang; Alex Acero In: http://research.microsoft.com/pubs/60452/2005-wang-acero-eurospeech.pdf (2005) BASE Show details 7 Grammar Inference and Statistical Machine Translation Ye-yi Wang; Jaime Carbonell In: http://www.is.cs.cmu.edu/papers/speech/phd-thesis/thesis-yyw.ps.gz (1998) BASE Show details 8 Decoding Algorithm in Statistical Machine Translation Ye-yi Wang; Alex Waibel In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1997_1/wang_ye_yi_1997_1.ps.gz (1997) BASE Show details 9 Word Clustering With Parallel Spoken Language Corpora Ye-yi Wang; John Lafferty; Alex Waibel In: http://research.microsoft.com/users/yeyiwang/publications/icslp96.ps (1996) BASE Show details 10 Word Clustering With Parallel Spoken Language Corpora Ye-yi Wang; John Lafferty; Alex Waibel In: http://www.ubka.uni-karlsruhe.de/vvv/1996/informatik/66/66.ps.gz (1996) BASE Show details 11 Word clustering with parallel spoken language corpora Ye-yi Wang; John La; Alex Waibel In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1996_1/wang_ye_yi_1996_1.pdf (1996) BASE Show details 12 Word clustering with parallel spoken language corpora Ye-yi Wang; John La; Alex Waibel In: http://research.microsoft.com/pubs/75238/1996-yeyiwang-icslp.pdf (1996) BASE Show details 13 Word Clustering With Parallel Spoken Language Corpora Ye-Yi Wang, John Lafferty; Alex Waibel In: http://www.asel.udel.edu/icslp/cdrom/vol4/687/a687.pdf (1996) BASE Show details 14 Improved Language Modeling By Unsupervised Acquisition Of Structure Klaus Ries; Finn Dag Buø; Ye-yi Wang In: ftp://ftp.cs.cmu.edu/afs/cs/project/cmt-38/ries/ftp/ries_buo_wang_icassp95.ps.gz (1995) BASE Show details 15 Improved Language Modeling By Unsupervised Acquisition Of Structure Klaus Ries; Finn Dag Buø; Ye-Yi Wang and Alex Waibel... In: http://werner.ira.uka.de/papers/speech/1995/ICASSP_95_klaus_ries.ps.gz (1995) BASE Show details 16 Connectionist Transfer in Machine Translation Ye-yi Wang; Alex Waibel In: http://research.microsoft.com/users/yeyiwang/publications/ranlp95.ps (1995) BASE Show details 17 Dual-coding theory and connectionist lexical selection Ye-yi Wang In: http://arxiv.org/pdf/cmp-lg/9405035v1.pdf (1994) BASE Show details 18 Dual-Coding Theory and Connectionist Lexical Selection ... Wang, Ye-Yi. - : arXiv, 1994 BASE Show details 19 LEXICON MODELING FOR QUERY UNDERSTANDING Jingjing Liu; Xiao Li; Alex Acero; Ye-yi Wang In: http://groups.csail.mit.edu/sls/publications/2011/Liu_ICASSP2011.pdf Abstract: Lexicons are important resources for semantic tagging. However, commonly used lexicons collected from entity databases suffer from multiple problems, such as ambiguity, limited coverage and lack of relative importance. In this work we present a lexicon modeling technique that automatically expands the lexicon and assigns weights to its elements. For lexicon expansion, we use a generative model to extract patterns from query logs using known lexicon seeds, and discover new lexicon elements using the learned patterns. For lexicon weighting, we propose two approaches based on generative and discriminative models to learn the relative importance of lexicon elements from user click statistics. Experiments on text queries in multiple domains show that our lexicon modeling technique can significantly improve semantic tagging performance. Index Terms — lexicon modeling, semantic tagging, query understanding 1. URL: http://groups.csail.mit.edu/sls/publications/2011/Liu_ICASSP2011.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.3030 BASE Hide details 20 INTENT DETECTION USING SEMANTICALLY ENRICHED WORD EMBEDDINGS Joo-Kyung Kim; Gokhan Tur; †... In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/09/intent-detection-semantically.pdf BASE Show details Page: 1 2

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