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題名:基於特徵粒度之訓練策略於中文口語問答系統之應用
書刊名:International Journal of Computational Linguistics & Chinese Language Processing
作者:羅上堡陳冠宇
作者(外文):Luo, Shang-baoChen, Kuan-yu
出版日期:2019
卷期:24:2
頁次:頁1-17
主題關鍵詞:口語問答系統語音辨識特徵粒度訓練策略Spoken question answeringSpeech recognitionFeatured-granularityTraining strategy
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:8
  • 點閱點閱:0
期刊論文
1.Wang, Hsin-min、Chen, Berlin、Kuo, Jen-wei、Cheng, Shih-sian(20050600)。MATBN: A Mandarin Chinese Broadcast News Corpus。International Journal of Computational Linguistics & Chinese Language Processing,10(2),219-235。new window  new window
2.Bengio, Y.、Ducharme, R.、Vincent, P.、Jauvin, C.(2003)。A neural probabilistic language model。Journal of Machine Learning Research,3(6),1137-1155。  new window
3.Bojanowski, P.、Grave, E.、Joulin, A.、Mikolov, T.(2017)。Enriching Word Vectors with Subword Information。Proceedings of TACL,5,135-146。  new window
4.Paszke, A.、Gross, S.、Massa, F.、Lerer, A.、Bradbury, J.、Chanan, G.、Chintala, S.(2019)。PyTorch: An Imperative Style, High-Performance Deep Learning Library。Advances in Neural Information Processing Systems,32,8024-8035。  new window
5.Reddy, S.、Chen, D.、Manning, C. D.(2019)。Coqa: A Conversational Question Answering Challenge。Proceedings of TACL,7,249-266。  new window
會議論文
1.Povey, D.、Cheng, G.、Wang, Y.、Li, K.、Xu, H.、Yarmohamadi, M.、Khudanpur, S.(2018)。Semi-orthogonal low-rank matrix factorization for deep neural networks。19th Annual Conference of the International Speech Communication Association,3743-3747。  new window
2.Veselý, K.、Ghoshal, A.、Burget, L.、Povey, D.(2013)。Sequence-discriminative training of deep neural networks。Interspeech 2013,2345-2349。  new window
3.Van Heerden, C.、Karakos, D.、Narasimhan, K.、Davel, M.、Schwartz, R.(2017)。Constructing Sub-word Units for Spoken Term Detection。ICASSP 2017,5780-5784。  new window
4.Karras, T.、Laine, S.、Aila, T.(2019)。A Style-based Generator Architecture for Generative Adversarial Networks。CVPR 2019,(會議日期: 15-20 June 2019),4401-4410。  new window
5.Kingma, D. P.、Dhariwal, P.(2018)。Glow: Generative Flow with Invertible 1x1 Convolutions。NIPS 2018,10215-10224。  new window
6.Lee, C.-H.、Chen, Y.-N.、Lee, H.-Y.(2019)。Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation。ICASSP 2019,7300-7304。  new window
7.Povey, D.、Ghoshal, A.、Boulianne, G.、Burget, L.、Glembek, O.、Goel, N.、Veselý, K.(2011)。The Kaldi Speech Recognition Toolkit。ASRU 2011。  new window
8.Povey, D.、Peddinti, V.、Galvez, D.、Ghahremani, P.、Manohar, V.、Na, X.、Wang, Y.、Khudanpur, S.(2016)。Purely Sequence-trained Neural Networks for ASR Based on Lattice-free MMI。INTERSPEECH 2016,2751-2755。  new window
9.Rajpurkar, P.、Zhang, J.、Lopyrev, K.、Liang, P.(2016)。SQuAD: 100,000+ Questions for Machine Comprehension of Text。2016 Conference on Empirical Methods in Natural Language Processing,2383-2302。  new window
10.Shiang, S.-R.、Lee, H.-Y.、Lee, L.-S.(2014)。Spoken Question Answering Using Tree-structured Conditional Random Fields and Two-layer Random Walk。ISCA 2014,263-267。  new window
11.Tang, M.、Cai, J.、Zhuo, H. H.(2019)。Multi-Matching Network for Multiple Choice Reading Comprehension。AAAI 2019。  new window
12.Vaswani, Ashish、Shazeer, Noam、Parmar, Niki、Uszkoreit, Jakob、Jones, Llion、Gomez, Aidan N.、Kaiser, Lukasz、Polosukhin, I.(2017)。Attention is All You Need。The 31st International Conference on Neural Information Processing Systems,(會議日期: December 4-9, 2017)。Long Beach。5998-6008。  new window
13.Wang, W.、Shen, J.、Guo, F.、Cheng, M.-M.、Borji, A.(2018)。Revisiting Video Saliency: A Large-Scale Benchmark and a New Model。CVPR 2018,4894-4903。  new window
14.Pennington, Jeffrey、Socher, Richard、Manning, Christopher D.(2014)。GloVe: Global Vectors for Word Representation。The 2014 Conference on Empirical Methods in Natural Language Processing,(會議日期: 2014/10/25-10/29),1532-1543。  new window
15.He, Kaiming、Zhang, Xiangyu、Ren, Shaoqing、Sun, Jian(2016)。Deep residual learning for image recognition。2016 IEEE Conference on Computer Vision and Pattern Recognition。IEEE。770-778。  new window
學位論文
1.Szőke, I.(2010)。Hybrid word-subword spoken term detection(博士論文)。Brno University of Technology,Brno。  new window
單篇論文
1.Ba, J. L.,Kiros, J. R.,Hinton, G. E.(2016)。Layer normalization(1607.06450)。  new window
2.Shao, C. C.,Liu, T.,Lai, Y.,Tseng, Y.,Tsai, S.(2018)。DRCD: a Chinese Machine Reading Comprehension Dataset(1806.00920)。  new window
3.Yu, A. W.,Dohan, D.,Luong, M.-T.,Zhao, R.,Chen, K.,Norouzi, M.,Le, Q. V.(2018)。QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension(1804.09541)。  new window
4.Choi, E.,He, H.,Iyyer, M.,Yatskar, M.,Yih, W.-T.,Choi, Y.,Zettlemoyer, L.(2018)。QuAC: Question Answering in Context(1808.07036)。  new window
5.Devlin, Jacob,Chang, Ming-Wei,Lee, Kenton,Toutanova, Kristina(2018)。BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,https://arxiv.org/pdf/1810.04805v1,(1810.04805)。  new window
6.Kingma, D. P.,Ba, Jimmy Lei(2014)。Adam: A Method for Stochastic Optimization(1412.6980)。  new window
7.Lai, G.,Xie, Q.,Liu, H.,Yang, Y.,Hovy, E.(2017)。RACE: Large-scale Reading Comprehension Dataset From Examinations(1704.04683)。  new window
8.Liu, T.-C.,Wu, Y.-H.,Lee, H.-Y.(2017)。Query-based Attention CNN for Text Similarity Map(1709.05036)。  new window
9.Mikolov, T.,Chen, K.,Corrado, G.,Dean, J.(2013)。Efficient Estimation of Word Representations in Vector Space,https://arxiv.org/abs/1301.3781v3,(1301.3781)。  new window
10.Ran, Q.,Li, P.,Hu, W.,Zhou, J.(2019)。Option Comparison Network for Multiple-choice Reading Comprehension(1903.03033)。  new window
11.Yang, Zhilin,Dai, Zihang,Yang, Yiming,Carbonell, Jaime,Salakhutdinov, Ruslan,Le, Quoc V.(2019)。XLNet: Generalized Autoregressive Pretraining for Language Understanding,http://arxiv.org/abs/1906.08237,(1906.08237)。  new window
12.Yu, F.,Seff, A.,Zhang, Y.,Song, S.,Funkhouser, T.,Xiao, J.(2015)。LSUN: Construction of a Large-scale Image Dataset Using Deep Learning with Humans in the Loop(1506.03365)。  new window
13.Zhang, S.,Zhao, H.,Wu, Y.,Zhang, Z.,Zhou, X.,Zhou, X.(2019)。Dual Co-Matching Network for Multi-choice Reading Comprehension(1901.09381)。  new window
 
 
 
 
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