Speaker-change Aware CRF for Dialogue Act Classification
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[1] Ryuichiro Higashinaka,et al. Towards an open-domain conversational system fully based on natural language processing , 2014, COLING.
[2] Andrew McCallum,et al. An Introduction to Conditional Random Fields , 2010, Found. Trends Mach. Learn..
[3] Jean-Pierre Lorré,et al. LinTO : Assistant vocal open-source respectueux des données personnelles pour les réunions d'entreprise , 2019, ArXiv.
[4] A. Koller,et al. Speech Acts: An Essay in the Philosophy of Language , 1969 .
[5] Sean R Eddy,et al. What is dynamic programming? , 2004, Nature Biotechnology.
[6] Xiao Li,et al. A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification , 2018, CoNLL.
[7] Hongfei Lin,et al. An attention‐based BiLSTM‐CRF approach to document‐level chemical named entity recognition , 2018, Bioinform..
[8] Phil Blunsom,et al. Recurrent Convolutional Neural Networks for Discourse Compositionality , 2013, CVSM@ACL.
[9] Wei Li,et al. Multi-level Gated Recurrent Neural Network for dialog act classification , 2016, COLING.
[10] Jamin Shin,et al. Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition , 2019, EMNLP/IJCNLP.
[11] Gina-Anne Levow,et al. Dialog act tagging with support vector machines and hidden Markov models , 2006, INTERSPEECH.
[12] Jean-Pierre Lorré,et al. Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization , 2018, ACL.
[13] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[14] Deng Cai,et al. Dialogue Act Recognition via CRF-Attentive Structured Network , 2017, SIGIR.
[15] Andreas Stolcke,et al. Dialogue act modeling for automatic tagging and recognition of conversational speech , 2000, CL.
[16] Wen Wang,et al. BERT for Joint Intent Classification and Slot Filling , 2019, ArXiv.
[17] Andrew J. Viterbi,et al. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.
[18] Xipeng Qiu,et al. TENER: Adapting Transformer Encoder for Named Entity Recognition , 2019, ArXiv.
[19] David Vilar,et al. Dialogue act classification using a Bayesian approach ∗ , 2004 .
[20] Yun Lei,et al. Using Context Information for Dialog Act Classification in DNN Framework , 2017, EMNLP.
[21] Elizabeth Shriberg,et al. Automatic dialog act segmentation and classification in multiparty meetings , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[22] Jan Alexanderssony,et al. Dialogue acts in VERBMOBIL-2 , 1997 .
[23] Matthias Zimmermann,et al. Joint segmentation and classification of dialog acts using conditional random fields , 2009, INTERSPEECH.
[24] Eric Fosler-Lussier,et al. Combining phonetic attributes using conditional random fields , 2006, INTERSPEECH.
[25] Elizabeth Shriberg,et al. Switchboard SWBD-DAMSL shallow-discourse-function annotation coders manual , 1997 .
[26] James F. Allen,et al. Draft of DAMSL Dialog Act Markup in Several Layers , 2007 .
[27] Maria Leonor Pacheco,et al. of the Association for Computational Linguistics: , 2001 .
[28] 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).
[29] Mark G. Core,et al. Coding Dialogs with the DAMSL Annotation Scheme , 1997 .
[30] Kôiti Hasida,et al. ISO 24617-2: A semantically-based standard for dialogue annotation , 2012, LREC.
[31] Yorick Wilks,et al. Dialogue Act Classification Based on Intra-Utterance Features∗ , 2005 .
[32] F. Inglis. How To Do Things With Words. , 1971 .
[33] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[34] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[35] Timothy Baldwin,et al. Classifying Dialogue Acts in One-on-One Live Chats , 2010, EMNLP.
[36] Kôiti Hasida,et al. Towards an ISO Standard for Dialogue Act Annotation , 2010, LREC.
[37] Harry Bunt,et al. 'Who's next? Speaker-selection mechanisms in multiparty dialogue' , 2009 .
[38] Franck Dernoncourt,et al. Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks , 2016, NAACL.
[39] Joel R. Tetreault,et al. Dialogue Act Classification with Context-Aware Self-Attention , 2019, NAACL.
[40] Iryna Gurevych,et al. Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks , 2017, ArXiv.
[41] Rodney D. Nielsen,et al. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network , 2016, COLING.
[42] Hwaran Lee,et al. Compositional Sentence Representation from Character Within Large Context Text , 2016, ICONIP.
[43] Piroska Lendvai,et al. Token-based Chunking of Turn-internal Dialogue Act Sequences , 2007, SIGDIAL.
[44] Ali Ahmadvand,et al. Contextual Dialogue Act Classification for Open-Domain Conversational Agents , 2019, SIGIR.
[45] Ngoc Thang Vu,et al. Neural-based Context Representation Learning for Dialog Act Classification , 2017, SIGDIAL Conference.
[46] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[47] Jean-Pierre Lorré,et al. Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding , 2020, AACL/IJCNLP.
[48] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[49] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[50] Andreas Stolcke,et al. Does active learning help automatic dialog act tagging in meeting data? , 2005, INTERSPEECH.
[51] Csr Young,et al. How to Do Things With Words , 2009 .
[52] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[53] Quan Hung Tran,et al. A Hierarchical Neural Model for Learning Sequences of Dialogue Acts , 2017, EACL.
[54] Shafiq R. Joty,et al. Dialogue Act Recognition in Synchronous and Asynchronous Conversations , 2013, SIGDIAL Conference.
[55] Alessandro Moschitti,et al. Transfer Learning for Sequence Labeling Using Source Model and Target Data , 2019, AAAI.
[56] Yang Liu. Using SVM and error-correcting codes for multiclass dialog act classification in meeting corpus , 2006, INTERSPEECH.
[57] Yue Zhang,et al. Hierarchically-Refined Label Attention Network for Sequence Labeling , 2019, EMNLP.
[58] Yue Zhang,et al. Design Challenges and Misconceptions in Neural Sequence Labeling , 2018, COLING.
[59] Houfeng Wang,et al. Using Bidirectional Transformer-CRF for Spoken Language Understanding , 2019, NLPCC.
[60] Harshit Kumar,et al. Dialogue Act Sequence Labeling using Hierarchical encoder with CRF , 2017, AAAI.
[61] Michalis Vazirgiannis,et al. Real-Time Keyword Extraction from Conversations , 2017, EACL.
[62] E. Schegloff,et al. A simplest systematics for the organization of turn-taking for conversation , 1974 .
[63] Stefan Wermter,et al. A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks , 2018, LREC.
[64] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[65] Matthew Purver,et al. Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification , 2014, CVSC@EACL.
[66] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[67] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[68] Hung-yi Lee,et al. Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection , 2016, INTERSPEECH.