On the Vector Representation of Utterances in Dialogue Context
暂无分享,去创建一个
Wolfgang Minker | Louisa Pragst | Stefan Ultes | Niklas Rach | Stefan Ultes | W. Minker | Louisa Pragst | Niklas Rach
[1] Jeffrey Pennington,et al. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions , 2011, EMNLP.
[2] Csr Young,et al. How to Do Things With Words , 2009 .
[3] Rabab Kreidieh Ward,et al. Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[4] Matt J. Kusner,et al. From Word Embeddings To Document Distances , 2015, ICML.
[5] Jianfeng Gao,et al. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses , 2015, NAACL.
[6] Matthias Scheutz,et al. A Hybrid Architectural Approach to Understanding and Appropriately Generating Indirect Speech Acts , 2013, AAAI.
[7] Emiru Tsunoo,et al. Hierarchical Recurrent Neural Network for Story Segmentation , 2017, INTERSPEECH.
[8] C. Raymond Perrault,et al. Analyzing Intention in Utterances , 1986, Artif. Intell..
[9] John J. Godfrey,et al. SWITCHBOARD: telephone speech corpus for research and development , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[10] Quoc V. Le,et al. Exploiting Similarities among Languages for Machine Translation , 2013, ArXiv.
[11] Oliver Lemon,et al. Reinforcement Learning for Adaptive Dialogue Systems - A Data-driven Methodology for Dialogue Management and Natural Language Generation , 2011, Theory and Applications of Natural Language Processing.
[12] Ming Zhou,et al. Bilingually-constrained Phrase Embeddings for Machine Translation , 2014, ACL.
[13] Steve Young,et al. Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning , 2002 .
[14] Yelong Shen,et al. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval , 2014, CIKM.
[15] Phil Blunsom,et al. Recurrent Convolutional Neural Networks for Discourse Compositionality , 2013, CVSM@ACL.
[16] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[17] Bo-Sheng Lin,et al. The establishment of human-computer interaction based on Word2Vec , 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).
[18] Ladislav Lenc,et al. On the effects of using word2vec representations in neural networks for dialogue act recognition , 2020, Comput. Speech Lang..
[19] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[20] Harry Bunt,et al. Context and Dialogue Control , 1994 .
[21] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[22] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[23] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[24] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[25] Phil Blunsom,et al. Multilingual Models for Compositional Distributed Semantics , 2014, ACL.
[26] Hua Xu,et al. Chinese comments sentiment classification based on word2vec and SVMperf , 2015, Expert Syst. Appl..