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Yik-Cheung Tam
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2020 – today
- 2024
- [b1]Yik-Cheung Tam:
Rapid Unsupervised Topic Adaptation - a Latent Semantic Approach. Karlsruhe University, Germany, 2024 - [c32]Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam:
Arithmetic Reasoning with LLM: Prolog Generation & Permutation. NAACL (Short Papers) 2024: 699-710 - [i7]Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam:
Arithmetic Reasoning with LLM: Prolog Generation & Permutation. CoRR abs/2405.17893 (2024) - 2023
- [c31]Zecheng Wang, Yik-Cheung Tam:
Suffix Retrieval-Augmented Language Modeling. ICASSP 2023: 1-5 - [i6]Xiaocheng Yang, Yik-Cheung Tam:
Exploring an LM to generate Prolog Predicates from Mathematics Questions. CoRR abs/2309.03667 (2023) - 2022
- [c30]Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan:
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. ICASSP 2022: 6702-6706 - [i5]Zecheng Wang, Yik-Cheung Tam:
Suffix Retrieval-Augmented Language Modeling. CoRR abs/2211.03053 (2022) - [i4]Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan:
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. CoRR abs/2211.03990 (2022) - 2021
- [i3]Yuhao Ding, Yik-Cheung Tam:
Ontology-Enhanced Slot Filling. CoRR abs/2108.11275 (2021) - [i2]Yichen Huang, Yuchen Wang, Yik-Cheung Tam:
UNITER-Based Situated Coreference Resolution with Rich Multimodal Input. CoRR abs/2112.03521 (2021) - 2020
- [j3]Yik-Cheung Tam:
Cluster-based beam search for pointer-generator chatbot grounded by knowledge. Comput. Speech Lang. 64: 101094 (2020) - [i1]Changyu Miao, Zhen Cao, Yik-Cheung Tam:
Keyword-Attentive Deep Semantic Matching. CoRR abs/2003.11516 (2020)
2010 – 2019
- 2019
- [c29]Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou:
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. ACL (1) 2019: 1992-2001 - 2018
- [c28]Haohui Deng, Yik-Cheung Tam:
Read and Comprehend by Gated-Attention Reader with More Belief. NAACL-HLT (Student Research Workshop) 2018: 83-91 - 2015
- [c27]Yik-Cheung Tam, Yun Lei:
Neural network joint modeling via context-dependent projection. ICASSP 2015: 5356-5360 - [c26]Yik-Cheung Tam, Yangyang Shi, Hunk Chen, Mei-Yuh Hwang:
RNN-based labeled data generation for spoken language understanding. INTERSPEECH 2015: 125-129 - [c25]Katrin Kirchhoff, Yik-Cheung Tam, Colleen Richey, Wen Wang:
Morphological Modeling for Machine Translation of English-Iraqi Arabic Spoken Dialogs. HLT-NAACL 2015: 995-1000 - 2014
- [c24]Yik-Cheung Tam, Yun Lei, Jing Zheng, Wen Wang:
ASR error detection using recurrent neural network language model and complementary ASR. ICASSP 2014: 2312-2316 - [c23]Bing Zhao, Yik-Cheung Tam, Jing Zheng:
An autoencoder with bilingual sparse features for improved statistical machine translation. ICASSP 2014: 7103-7107 - [c22]Vikramjit Mitra, Julien van Hout, Horacio Franco, Dimitra Vergyri, Yun Lei, Martin Graciarena, Yik-Cheung Tam, Jing Zheng:
Feature fusion for high-accuracy keyword spotting. ICASSP 2014: 7143-7147 - [c21]Bing Zhao, Yik-Cheung Tam:
Bilingual Recurrent Neural Networks for improved statistical machine translation. SLT 2014: 66-70 - 2013
- [c20]Arindam Mandal, Julien van Hout, Yik-Cheung Tam, Vikramjit Mitra, Yun Lei, Jing Zheng, Dimitra Vergyri, Luciana Ferrer, Martin Graciarena, Andreas Kathol, Horacio Franco:
Strategies for high accuracy keyword detection in noisy channels. INTERSPEECH 2013: 15-19 - 2012
- [c19]Yik-Cheung Tam, Paul Vozila:
A Hierarchical Bayesian Approach for Semi-supervised Discriminative Language Modeling. INTERSPEECH 2012: 186-189 - 2011
- [c18]Yik-Cheung Tam, Paul Vozila:
Unsupervised Latent Speaker Language Modeling. INTERSPEECH 2011: 1477-1480
2000 – 2009
- 2009
- [c17]Roger Hsiao, Yik-Cheung Tam, Tanja Schultz:
Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system. ICASSP 2009: 3769-3772 - [c16]Yik-Cheung Tam, Tanja Schultz:
Incorporating monolingual corpora into bilingual latent semantic analysis for crosslingual LM adaptation. ICASSP 2009: 4821-4824 - 2008
- [c15]Roger Hsiao, Mark C. Fuhs, Yik-Cheung Tam, Qin Jin, Tanja Schultz:
The CMU-interACT 2008 Mandarin transcription system. INTERSPEECH 2008: 1445-1448 - [c14]Yik-Cheung Tam, Tanja Schultz:
Correlated Bigram LSA for Unsupervised Language Model Adaptation. NIPS 2008: 1633-1640 - 2007
- [j2]Yik-Cheung Tam, Ian R. Lane, Tanja Schultz:
Bilingual LSA-based adaptation for statistical machine translation. Mach. Transl. 21(4): 187-207 (2007) - [c13]Yik-Cheung Tam, Ian R. Lane, Tanja Schultz:
Bilingual-LSA Based LM Adaptation for Spoken Language Translation. ACL 2007 - [c12]Yik-Cheung Tam, Tanja Schultz:
Correlated Latent Semantic Model for Unsupervised LM Adaptation. ICASSP (4) 2007: 41-44 - [c11]Yik-Cheung Tam, Tanja Schultz:
Bilingual LSA-based translation lexicon adaptation for spoken language translation. INTERSPEECH 2007: 2461-2464 - 2006
- [c10]Yik-Cheung Tam, Tanja Schultz:
Unsupervised language model adaptation using latent semantic marginals. INTERSPEECH 2006 - 2005
- [c9]Yik-Cheung Tam, Tanja Schultz:
Dynamic language model adaptation using variational Bayes inference. INTERSPEECH 2005: 5-8 - 2004
- [j1]Brian Kan-Wing Mak, Yik-Cheung Tam, Peter Qi Li:
Discriminative auditory-based features for robust speech recognition. IEEE Trans. Speech Audio Process. 12(1): 27-36 (2004) - 2003
- [c8]Brian Mak, Yik-Cheung Tam, Roger Hsiao:
Discriminative training of auditory filters of different shapes for robust speech recognition. ICASSP (2) 2003: 45-48 - [c7]Yik-Cheung Tam, Jack Mostow, Joseph E. Beck, Satanjeev Banerjee:
Training a confidence measure for a reading tutor that listens. INTERSPEECH 2003: 3161-3164 - 2002
- [c6]Yik-Cheung Tam, Brian Mak:
An alternative approach of finding competing hypotheses for better minimum classification error training. ICASSP 2002: 101-104 - [c5]Brian Mak, Yik-Cheung Tam, Peter Qi Li:
Discriminative auditory features for robust speech recognition. ICASSP 2002: 381-384 - [c4]Brian Kan-Wing Mak, Yik-Cheung Tam:
Performance of discriminatively trained auditory features on Aurora2 and Aurora3. INTERSPEECH 2002: 33-36 - 2001
- [c3]Yik-Cheung Tam, Brian Kan-Wing Mak:
Development of an asynchronous multi-band system for continuous speech recognition. INTERSPEECH 2001: 575-578 - 2000
- [c2]Brian Kan-Wing Mak, Yik-Cheung Tam:
Asynchrony with trained transition probabilities improves performance in multi-band speech recognition. INTERSPEECH 2000: 149-152 - [c1]Yik-Cheung Tam, Brian Kan-Wing Mak:
Optimization of sub-band weights using simulated noisy speech in multi-band speech recognition. INTERSPEECH 2000: 313-316
Coauthor Index
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last updated on 2024-10-21 20:31 CEST by the dblp team
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