CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network
暂无分享,去创建一个
Qinmin Hu | Liang He | Xiangji Huang | Qin Chen | Xiangji Huang | Qin Chen | Qinmin Hu | Liang He
[1] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[2] Jianmin Wang,et al. Multi-Adversarial Domain Adaptation , 2018, AAAI.
[3] Qinmin Hu,et al. Enhancing Recurrent Neural Networks with Positional Attention for Question Answering , 2017, SIGIR.
[4] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[5] Ming-Wei Chang,et al. Question Answering Using Enhanced Lexical Semantic Models , 2013, ACL.
[6] Eneko Agirre,et al. SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity , 2012, *SEMEVAL.
[7] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[8] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[9] Jürgen Schmidhuber,et al. Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.
[10] Nitin Madnani,et al. Re-examining Machine Translation Metrics for Paraphrase Identification , 2012, NAACL.
[11] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[12] Mirella Lapata,et al. A Comparison of Vector-based Representations for Semantic Composition , 2012, EMNLP.
[13] Bowen Zhou,et al. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs , 2015, TACL.
[14] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[15] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[16] Sridhar Mahadevan,et al. Generative Multi-Adversarial Networks , 2016, ICLR.
[17] Jeffrey Pennington,et al. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection , 2011, NIPS.
[18] Yu Zhang,et al. End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification , 2017, IJCAI.
[19] Stephen Wan,et al. Using Dependency-Based Features to Take the ’Para-farce’ out of Paraphrase , 2006, ALTA.
[20] Kevin Gimpel,et al. From Paraphrase Database to Compositional Paraphrase Model and Back , 2015, Transactions of the Association for Computational Linguistics.
[21] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[22] Wenpeng Yin,et al. Convolutional Neural Network for Paraphrase Identification , 2015, NAACL.
[23] Yueting Zhuang,et al. Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning , 2017, AAAI.
[24] Qinmin Hu,et al. A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval , 2009, SIGIR.
[25] Houfeng Wang,et al. Attentive Interactive Neural Networks for Answer Selection in Community Question Answering , 2017, AAAI.
[26] Zhiguo Wang,et al. Sentence Similarity Learning by Lexical Decomposition and Composition , 2016, COLING.
[27] Peng Zhang,et al. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models , 2017, SIGIR.
[28] Wojciech Zaremba,et al. An Empirical Exploration of Recurrent Network Architectures , 2015, ICML.
[29] Jimmy J. Lin,et al. Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks , 2016, CIKM.
[30] Jacob Eisenstein,et al. Discriminative Improvements to Distributional Sentence Similarity , 2013, EMNLP.
[31] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[32] Qinmin Hu,et al. CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity , 2018, AAAI.
[33] Xuanjing Huang,et al. Adversarial Multi-Criteria Learning for Chinese Word Segmentation , 2017, ACL.
[34] Bowen Zhou,et al. LSTM-based Deep Learning Models for non-factoid answer selection , 2015, ArXiv.
[35] Yi Yang,et al. WikiQA: A Challenge Dataset for Open-Domain Question Answering , 2015, EMNLP.
[36] Thomas Brox,et al. Learning to generate chairs with convolutional neural networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Jimmy J. Lin,et al. Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks , 2015, EMNLP.
[38] Jonas Mueller,et al. Siamese Recurrent Architectures for Learning Sentence Similarity , 2016, AAAI.
[39] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[40] Chris Quirk,et al. Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources , 2004, COLING.
[41] Ben He,et al. CRTER: using cross terms to enhance probabilistic information retrieval , 2011, SIGIR '11.
[42] Yueting Zhuang,et al. Community-Based Question Answering via Heterogeneous Social Network Learning , 2016, AAAI.
[43] Zhiguo Wang,et al. FAQ-based Question Answering via Word Alignment , 2015, ArXiv.
[44] Jun Zhao,et al. Inner Attention based Recurrent Neural Networks for Answer Selection , 2016, ACL.
[45] Di Wang,et al. A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering , 2015, ACL.
[46] Noah A. Smith,et al. What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA , 2007, EMNLP.
[47] M. Marelli,et al. SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment , 2014, *SEMEVAL.
[48] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[49] Trevor Darrell,et al. Simultaneous Deep Transfer Across Domains and Tasks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[50] Jimmy J. Lin,et al. Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering , 2017, SIGIR.