Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification
暂无分享,去创建一个
Sriparna Saha | Asif Ekbal | Pushpak Bhattacharyya | Mauajama Firdaus | Tulika Saha | Saurabh Srivastava | P. Bhattacharyya | Asif Ekbal | S. Saha | Mauajama Firdaus | Tulika Saha | Saurabh Srivastava
[1] Yun Lei,et al. Using Context Information for Dialog Act Classification in DNN Framework , 2017, EMNLP.
[2] Norbert Reithinger,et al. Dialogue act classification using language models , 1997, EUROSPEECH.
[3] Asif Ekbal,et al. Simulated annealing based classifier ensemble techniques: Application to part of speech tagging , 2013, Inf. Fusion.
[4] Phil Blunsom,et al. Recurrent Convolutional Neural Networks for Discourse Compositionality , 2013, CVSM@ACL.
[5] Helen Wright,et al. Automatic utterance type detection using suprasegmental features , 1998, ICSLP.
[6] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .
[7] Andreas Stolcke,et al. Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech? , 1998, Language and speech.
[8] B. L. Welch. The generalisation of student's problems when several different population variances are involved. , 1947, Biometrika.
[9] Gholamreza Haffari,et al. A Latent Variable Recurrent Neural Network for Discourse Relation Language Models , 2016, ArXiv.
[10] Hung-yi Lee,et al. Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection , 2016, INTERSPEECH.
[11] Dirk Heylen,et al. DIALOGUE-ACT TAGGING USING SMART FEATURE SELECTION; RESULTS ON MULTIPLE CORPORA , 2006, 2006 IEEE Spoken Language Technology Workshop.
[12] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[13] Andreas Stolcke,et al. Dialogue act modeling for automatic tagging and recognition of conversational speech , 2000, CL.
[14] Andrew McCallum,et al. An Introduction to Conditional Random Fields , 2010, Found. Trends Mach. Learn..
[15] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[16] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[17] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[18] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[19] Rodney D. Nielsen,et al. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network , 2016, COLING.
[20] Franck Dernoncourt,et al. Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks , 2016, NAACL.
[21] Anton Nijholt,et al. Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues , 2002, SIGDIAL Workshop.
[22] Gholamreza Haffari,et al. A Latent Variable Recurrent Neural Network for Discourse Relation Language Models , 2016 .
[23] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[24] Alexandros Potamianos,et al. Dialogue Act Semantic Representation and Classification Using Recurrent Neural Networks , 2017 .
[25] Klaus Ries,et al. HMM and neural network based speech act detection , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[26] Elmar Nöth,et al. Dialog act classification with the help of prosody , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[27] Asif Ekbal,et al. Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition , 2013, Data Knowl. Eng..
[28] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[29] David Vilar,et al. Dialogue act classification using a Bayesian approach ∗ , 2004 .