Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention
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[1] Jian Su,et al. Predicting Discourse Connectives for Implicit Discourse Relation Recognition , 2010, COLING.
[2] Livio Robaldo,et al. The Penn Discourse TreeBank 2.0. , 2008, LREC.
[3] Daniel Marcu,et al. Sentence Level Discourse Parsing using Syntactic and Lexical Information , 2003, NAACL.
[4] Pascal Denis,et al. Comparing Word Representations for Implicit Discourse Relation Classification , 2015, EMNLP.
[5] Alex Graves,et al. Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.
[6] Nianwen Xue,et al. Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns , 2014, EACL.
[7] Gholamreza Haffari,et al. A Latent Variable Recurrent Neural Network for Discourse Relation Language Models , 2016 .
[8] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[9] Jason Baldridge,et al. Probabilistic Head-Driven Parsing for Discourse Structure , 2005, CoNLL.
[10] Yaojie Lu,et al. Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition , 2015, EMNLP.
[11] Di Wang,et al. A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering , 2015, ACL.
[12] Claire Cardie,et al. Improving Implicit Discourse Relation Recognition Through Feature Set Optimization , 2012, SIGDIAL Conference.
[13] Geoffrey Zweig,et al. Linguistic Regularities in Continuous Space Word Representations , 2013, NAACL.
[14] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[15] Richard Socher,et al. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.
[16] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[17] Jason Weston,et al. Memory Networks , 2014, ICLR.
[18] Ani Nenkova,et al. Automatic sense prediction for implicit discourse relations in text , 2009, ACL.
[19] Shafiq R. Joty,et al. A Novel Discriminative Framework for Sentence-Level Discourse Analysis , 2012, EMNLP.
[20] Barbara Di Eugenio,et al. An effective Discourse Parser that uses Rich Linguistic Information , 2009, NAACL.
[21] Gholamreza Haffari,et al. A Latent Variable Recurrent Neural Network for Discourse Relation Language Models , 2016, ArXiv.
[22] Rashmi Prasad,et al. The Penn Discourse Treebank , 2004, LREC.
[23] Hwee Tou Ng,et al. Recognizing Implicit Discourse Relations in the Penn Discourse Treebank , 2009, EMNLP.
[24] Jacob Eisenstein,et al. One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations , 2014, TACL.
[25] Bowen Zhou,et al. LSTM-based Deep Learning Models for non-factoid answer selection , 2015, ArXiv.
[26] Yang Liu,et al. Implicit Discourse Relation Classification via Multi-Task Neural Networks , 2016, AAAI.
[27] Nianwen Xue,et al. Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives , 2015, NAACL.
[28] Mitsuru Ishizuka,et al. HILDA: A Discourse Parser Using Support Vector Machine Classification , 2010, Dialogue Discourse.
[29] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[30] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[31] Xun Wang,et al. Implicit Discourse Relation Recognition by Selecting Typical Training Examples , 2012, COLING.
[32] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[33] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).