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Deep Learning and applications in Startups, CV, NLP
app-dl's Introduction
Deep Reinforcement Learning
David Silver. "Tutorial: Deep Reinforcement Learning ." ICML 2016.
David Silver’s course. "Reinforcement Learning ". 2015.
Bahdanau, Dzmitry, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, and Yoshua Bengio. "An Actor-Critic Algorithm for Sequence Prediction ." arXiv preprint arXiv:1607.07086 (2016).
Li, Jiwei, Will Monroe, Alan Ritter, and Dan Jurafsky. "Deep Reinforcement Learning for Dialogue Generation ." arXiv preprint arXiv:1606.01541 (2016).
Pathak, Deepak, Pulkit Agrawal, Alexei A. Efros, and Trevor Darrell. "Curiosity-driven Exploration by Self-supervised Prediction ." arXiv preprint arXiv:1705.05363 (2017).
Keneshloo, Yaser, Tian Shi, Chandan K. Reddy, and Naren Ramakrishnan. "Deep Reinforcement Learning For Sequence to Sequence Models ." arXiv preprint arXiv:1805.09461 (2018).
Wen, Tsung-Hsien, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. "A network-based end-to-end trainable task-oriented dialogue system ." arXiv preprint arXiv:1604.04562 (2016).
Li, Xiujun, Yun-Nung Chen, Lihong Li, Jianfeng Gao, and Asli Celikyilmaz. "End-to-end task-completion neural dialogue systems ." arXiv preprint arXiv:1703.01008 (2017).
Li, Xiujun, Zachary C. Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. "A user simulator for task-completion dialogues ." arXiv preprint arXiv:1612.05688 (2016).
Yan, Zhao, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, and Zhoujun Li. "Building Task-Oriented Dialogue Systems for Online Shopping ." In AAAI, pp. 4618-4626. 2017.
Peng, Baolin, Xiujun Li, Jianfeng Gao, Jingjing Liu, and Kam-Fai Wong. "Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ." ACL, vol. 1, pp. 2182-2192. 2018.
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos. "Learning End-to-End Goal-Oriented Dialog with Multiple Answers ." arXiv preprint arXiv:1808.09996 (2018).
Rennie, Steven J., Etienne Marcheret, Youssef Mroueh, Jarret Ross, and Vaibhava Goel. "Self-critical sequence training for image captioning ." arXiv preprint arXiv:1612.00563 (2016).
Lin, Kevin, Dianqi Li, Xiaodong He, Zhengyou Zhang, and Ming-Ting Sun. "Adversarial Ranking for Language Generation ." arXiv preprint arXiv:1705.11001 (2017).
Zhang, Li, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, and Timothy M. Hospedales. "Actor-Critic Sequence Training for Image Captioning ." arXiv preprint arXiv:1706.09601 (2017).
Wiseman, Sam, Stuart M. Shieber, and Alexander M. Rush. "Challenges in Data-to-Document Generation ." arXiv preprint arXiv:1707.08052 (2017).
Lebret, Rémi, David Grangier, and Michael Auli. "Neural text generation from structured data with application to the biography domain ." arXiv preprint arXiv:1603.07771 (2016).
Chisholm, Andrew, Will Radford, and Ben Hachey. "Learning to generate one-sentence biographies from Wikidata ." arXiv preprint arXiv:1702.06235 (2017).
Sha, Lei, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, and Zhifang Sui. "Order-Planning Neural Text Generation From Structured Data ." arXiv preprint arXiv:1709.00155 (2017).
Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang. "Long Text Generation via Adversarial Training with Leaked Information ." arXiv preprint arXiv:1709.08624 (2017).
Guu, Kelvin, Tatsunori B. Hashimoto, Yonatan Oren, and Percy Liang. "Generating Sentences by Editing Prototypes ." arXiv preprint arXiv:1709.08878 (2017).
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui. "Table-to-text Generation by Structure-aware Seq2seq Learnings ." arXiv preprint arXiv:1711.09724 (2017).
Kahou, Samira Ebrahimi, Adam Atkinson, Vincent Michalski, Akos Kadar, Adam Trischler, and Yoshua Bengio. "FigureQA: An Annotated Figure Dataset for Visual Reasoning ." arXiv preprint arXiv:1710.07300 (2017).
Murakami, Soichiro, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura, and Yusuke Miyao. "Learning to Generate Market Comments from Stock Prices ." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), vol. 1, pp. 1374-1384. 2017.
Mueller, Jonas, David Gifford, and Tommi Jaakkola. "Sequence to better sequence: continuous revision of combinatorial structures ." In International Conference on Machine Learning, pp. 2536-2544. 2017.
Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer. "Generating Wikipedia by Summarizing Long Sequences ." ICLR 2018.
Clark, Elizabeth, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A. Smith. "Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories ." (2018).
Gehrmann, Sebastian, S. E. A. S. Harvard, Falcon Z. Dai, Henry Elder, and Alexander M. Rush. "End-to-End Content and Plan Selection for Natural Language Generation ."
Juncen Li, Robin Jia, He He, Percy Liang. "Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer ." arXiv:1804.06437 2018.
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang. "Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing ." arXiv:1804.07007 2018.
Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang. "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ." arXiv:1804.09160 2018.
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush. "Learning Neural Templates for Text Generation
." arXiv:1808.10122 2018.
Ryang, Seonggi, and Takeshi Abekawa. "Framework of automatic text summarization using reinforcement learning ." In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 256-265. Association for Computational Linguistics, 2012. [not neural-based methods]
King, Ben, Rahul Jha, Tyler Johnson, Vaishnavi Sundararajan, and Clayton Scott. "Experiments in Automatic Text Summarization Using Deep Neural Networks ." Machine Learning (2011).
Liu, Yan, Sheng-hua Zhong, and Wenjie Li. "Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning ." AAAI. 2012.
Rioux, Cody, Sadid A. Hasan, and Yllias Chali. "Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning ." In EMNLP, pp. 681-690. 2014.[not neural-based methods]
PadmaPriya, G., and K. Duraiswamy. "An Approach For Text Summarization Using Deep Learning Algorithm ." Journal of Computer Science 10, no. 1 (2013): 1-9.
Denil, Misha, Alban Demiraj, and Nando de Freitas. "Extraction of Salient Sentences from Labelled Documents ." arXiv preprint arXiv:1412.6815 (2014).
Kågebäck, Mikael, et al. "Extractive summarization using continuous vector space models ." Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC)@ EACL. 2014.
Denil, Misha, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, and Nando de Freitas. "Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network ." arXiv preprint arXiv:1406.3830 (2014).
Cao, Ziqiang, Furu Wei, Li Dong, Sujian Li, and Ming Zhou. "Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization ." (AAAI'2015).
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. "Toward Abstractive Summarization Using Semantic Representations ." NAACL 2015
Wenpeng Yin， Yulong Pei. "Optimizing Sentence Modeling and Selection for Document Summarization." IJCAI 2015
He, Zhanying, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, and Xiaofei He. "Document Summarization Based on Data Reconstruction ." In AAAI. 2012.
Liu, He, Hongliang Yu, and Zhi-Hong Deng. "Multi-Document Summarization Based on Two-Level Sparse Representation Model ." In Twenty-Ninth AAAI Conference on Artificial Intelligence. 2015.
Jin-ge Yao, Xiaojun Wan, Jianguo Xiao. "Compressive Document Summarization via Sparse Optimization ." IJCAI 2015
Piji Li, Lidong Bing, Wai Lam, Hang Li, and Yi Liao. "Reader-Aware Multi-Document Summarization via Sparse Coding ." IJCAI 2015.
Lopyrev, Konstantin. "Generating News Headlines with Recurrent Neural Networks ." arXiv preprint arXiv:1512.01712 (2015). [The first paragraph as document.]
Alexander M. Rush, Sumit Chopra, Jason Weston. "A Neural Attention Model for Abstractive Sentence Summarization ." EMNLP 2015. [sentence compression]
Hu, Baotian, Qingcai Chen, and Fangze Zhu. "LCSTS: a large scale chinese short text summarization dataset ." arXiv preprint arXiv:1506.05865 (2015).
Gulcehre, Caglar, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, and Yoshua Bengio. "Pointing the Unknown Words ." arXiv preprint arXiv:1603.08148 (2016).
Nallapati, Ramesh, Bing Xiang, and Bowen Zhou. "Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond ." arXiv preprint arXiv:1602.06023 (2016). [sentence compression]
Sumit Chopra, Alexander M. Rush and Michael Auli. "Abstractive Sentence Summarization with Attentive Recurrent Neural Networks " NAACL 2016.
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li. "Incorporating Copying Mechanism in Sequence-to-Sequence Learning ." ACL. (2016)
Jianpeng Cheng, Mirella Lapata. "Neural Summarization by Extracting Sentences and Words ". ACL. (2016)
Zhang, Jianmin, Jin-ge Yao, and Xiaojun Wan. "Toward constructing sports news from live text commentary ." In Proceedings of ACL. 2016.
Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei. "AttSum: Joint Learning of Focusing and Summarization with Neural Attention ". arXiv:1604.00125 (2016)
Ayana, Shiqi Shen, Zhiyuan Liu, Maosong Sun. "Neural Headline Generation with Sentence-wise Optimization ". arXiv:1604.01904 (2016)
Kikuchi, Yuta, Graham Neubig, Ryohei Sasano, Hiroya Takamura, and Manabu Okumura. "Controlling Output Length in Neural Encoder-Decoders ." arXiv preprint arXiv:1609.09552 (2016).
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei and Hui Jiang. "Distraction-Based Neural Networks for Document Summarization ." IJCAI 2016.
Wang, Lu, and Wang Ling. "Neural Network-Based Abstract Generation for Opinions and Arguments ." NAACL 2016.
Yishu Miao, Phil Blunsom. "Language as a Latent Variable: Discrete Generative Models for Sentence Compression ." EMNLP 2016.
Takase, Sho, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, and Masaaki Nagata. "Neural headline generation on abstract meaning representation ." EMNLP, pp. 1054-1059. 2016.
Hongya Song, Zhaochun Ren, Piji Li, Shangsong Liang, Jun Ma, and Maarten de Rijke. Summarizing Answers in Non-Factoid Community Question-Answering . In WSDM 2017: The 10th International Conference on Web Search and Data Mining, 2017.
Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun. "Efficient Summarization with Read-Again and Copy Mechanism ." arXiv preprint arXiv:1611.03382 (2016).
Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing. "Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization ". In AAAI, 2017.
Ramesh Nallapati, Feifei Zhai, Bowen Zhou. SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents . In AAAI, 2017.
Ramesh Nallapati, Bowen Zhou, Mingbo Ma. "Classify or Select: Neural Architectures for Extractive Document Summarization ." arXiv preprint arXiv:1611.04244 (2016).
Suzuki, Jun, and Masaaki Nagata. "Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization ." EACL 2017 (2017): 291.
Jiwei Tan and Xiaojun Wan. Abstractive Document Summarization with a Graph-Based Attentional Neural Model . ACL, 2017.
Preksha Nema, Mitesh M. Khapra, Balaraman Ravindran and Anirban Laha. Diversity driven attention model for query-based abstractive summarization . ACL,2017
Abigail See, Peter J. Liu and Christopher D. Manning. Get To The Point: Summarization with Pointer-Generator Networks . ACL, 2017.
Qingyu Zhou, Nan Yang, Furu Wei and Ming Zhou. Selective Encoding for Abstractive Sentence Summarization . ACL, 2017
Maxime Peyrard and Judith Eckle-Kohler. Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization . ACL, 2017.
Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen. "Neural Extractive Summarization with Side Information ." arXiv preprint arXiv:1704.04530 (2017).
Romain Paulus, Caiming Xiong, Richard Socher. "A Deep Reinforced Model for Abstractive Summarization ." (2017).
Shibhansh Dohare, Harish Karnick. "Text Summarization using Abstract Meaning Representation ." arXiv:1706.01678 (2017).
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev. "Graph-based Neural Multi-Document Summarization ." arXiv:1706.06681 (2017).
Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. Deep Recurrent Generative Decoder for Abstractive Text Summarization . Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017.
Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, and Hang Li. Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization . Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017.
Piji Li, Lidong Bing, Wai Lam. Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset . Proceedings of the EMNLP 2017 Workshop on New Frontiers in Summarization (EMNLP-NewSum'17). Sep 2017.
Tan, Jiwei, Xiaojun Wan, and Jianguo Xiao. "From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach ." IJCAI 2017.
Ling, Jeffrey, and Alexander M. Rush. "Coarse-to-Fine Attention Models for Document Summarization ." EMNLP 2017 (2017): 33.
Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li. "Faithful to the Original: Fact Aware Neural Abstractive Summarization ." arXiv:1711.04434 (2017).
Angela Fan, David Grangier, Michael Auli. "Controllable Abstractive Summarization ." arXiv:1711.05217 (2017).
Liu, Linqing, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, and Hongyan Li. "Generative Adversarial Network for Abstractive Text Summarization ." arXiv preprint arXiv:1711.09357 (2017).
Narayan, Shashi, Shay B. Cohen, and Mirella Lapata. "Ranking Sentences for Extractive Summarization with Reinforcement Learning ." arXiv preprint arXiv:1802.08636 (2018).
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi. "Deep Communicating Agents for Abstractive Summarization ." NAACL (2018).
Chen, Wenhu, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, and Ming Zhou. "Generative Bridging Network in Neural Sequence Prediction ." NAACL (2018).
Li, Piji, Lidong Bing, and Wai Lam. "Actor-Critic based Training Framework for Abstractive Summarization ." arXiv preprint arXiv:1803.11070 (2018).
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian. "
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents ". NAACL, 2018.
Yuxiang Wu, Baotian Hu. "Learning to Extract Coherent Summary via Deep Reinforcement Learning ." AAAI (2018).
Jianmin Zhang, Jiwei Tan, Xiaojun Wan. "Towards a Neural Network Approach to Abstractive Multi-Document Summarization ." arXiv:1804.09010 (2018).
Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du. "A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization ." IJCAI-ECAI (2018).
Yen-Chun Chen, Mohit Bansal. "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
." arXiv:1805.11080 (2018).
Song, Kaiqiang, Lin Zhao, and Fei Liu. "Structure-Infused Copy Mechanisms for Abstractive Summarization ." COLING, 2018.
Keneshloo, Yaser, Tian Shi, Chandan K. Reddy, and Naren Ramakrishnan. "Deep Reinforcement Learning For Sequence to Sequence Models ." arXiv preprint arXiv:1805.09461 (2018).
Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou. "Sequential Copying Networks ." AAAI (2018).
Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao. "Neural Document Summarization by Jointly Learning to Score and Select Sentences ." ACL (2018).
Lin, Junyang, Xu Sun, Shuming Ma, and Qi Su. "Global Encoding for Abstractive Summarization ." arXiv preprint arXiv:1805.03989 (2018).
Khatri, Chandra, Gyanit Singh, and Nish Parikh. "Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks ." arXiv preprint arXiv:1807.08000 (2018).
Hsu, Wan-Ting, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, and Min Sun. "A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss ." arXiv preprint arXiv:1805.06266 (2018).
Sun, Fei, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, and Xiaobo Wang. "Multi-Source Pointer Network for Product Title Summarization ." arXiv preprint arXiv:1808.06885 (2018).
Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard Socher. "Improving Abstraction in Text Summarization
." arXiv preprint arXiv:1808.07913 (2018).
Zhang, Xingxing, Mirella Lapata, Furu Wei, and Ming Zhou. "Neural Latent Extractive Document Summarization ." arXiv preprint arXiv:1808.07187 (2018).
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush. "Bottom-Up Abstractive Summarization ." arXiv preprint arXiv:1808.10792 (2018).
Yichen Jiang, Mohit Bansal. "Closed-Book Training to Improve Summarization Encoder Memory ." arXiv preprint arXiv:1809.04585 (2018).
Kamal Al-Sabahi, Zhang Zuping, Yang Kang. "Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization ." arXiv preprint arXiv:1809.06662 (2018).
Raphael Schumann. "Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder ." arXiv preprint arXiv:1809.05233 (2018).
Krishna, Kundan, and Balaji Vasan Srinivasan. "Generating Topic-Oriented Summaries Using Neural Attention ." NAACL 2018.
Lisa Fan, Dong Yu, Lu Wang. "Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information ." arXiv preprint arXiv:1810.06065 (2018).
Eric Chu, Peter J. Liu. "Unsupervised Neural Multi-document Abstractive Summarization ." arXiv preprint arXiv:1810.05739 (2018).
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy. "Deep Transfer Reinforcement Learning for Text Summarization ." arXiv preprint arXiv:1810.06667 (2018).
Mahnaz Koupaee, William Yang Wang. "WikiHow: A Large Scale Text Summarization Dataset
." arXiv preprint arXiv:1810.09305 (2018).
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon. "Unified Language Model Pre-training for Natural Language Understanding and Generation ." arXiv preprint arXiv:1905.03197 (2019).
Wu, Haibing, Yiwei Gu, Shangdi Sun, and Xiaodong Gu. "Aspect-based Opinion Summarization with Convolutional Neural Networks ." arXiv preprint arXiv:1511.09128 (2015).
Irsoy, Ozan, and Claire Cardie. "Opinion Mining with Deep Recurrent Neural Networks ." In EMNLP, pp. 720-728. 2014.
Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam. "Neural Rating Regression with Abstractive Tips Generation for Recommendation .". In SIGIR, 2017.
Hermann, Karl Moritz, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. "Teaching machines to read and comprehend ." In Advances in Neural Information Processing Systems, pp. 1693-1701. 2015.
Hill, Felix, Antoine Bordes, Sumit Chopra, and Jason Weston. "The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations ." arXiv preprint arXiv:1511.02301 (2015).
Kadlec, Rudolf, Martin Schmid, Ondrej Bajgar, and Jan Kleindienst. "Text Understanding with the Attention Sum Reader Network ." arXiv preprint arXiv:1603.01547 (2016).
Chen, Danqi, Jason Bolton, and Christopher D. Manning. "A thorough examination of the cnn/daily mail reading comprehension task ." arXiv preprint arXiv:1606.02858 (2016).
Dhingra, Bhuwan, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov. "Gated-Attention Readers for Text Comprehension ." arXiv preprint arXiv:1606.01549 (2016).
Sordoni, Alessandro, Phillip Bachman, and Yoshua Bengio. "Iterative Alternating Neural Attention for Machine Reading ." arXiv preprint arXiv:1606.02245 (2016).
Trischler, Adam, Zheng Ye, Xingdi Yuan, and Kaheer Suleman. "Natural Language Comprehension with the EpiReader ." arXiv preprint arXiv:1606.02270 (2016).
Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu. "Attention-over-Attention Neural Networks for Reading Comprehension ." arXiv preprint arXiv:1607.04423 (2016).
Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu. "Consensus Attention-based Neural Networks for Chinese Reading Comprehension ." arXiv preprint arXiv:1607.02250 (2016).
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey and David Berthelot. "WIKIREADING: A Novel Large-scale Language Understanding Task over Wikipedia ." ACL (2016). pp. 1535-1545.
Minghao Hu, Yuxing Peng, Xipeng Qiu. "Mnemonic Reader for Machine Comprehension ." arXiv:1705.02798 (2017).
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang and Ming Zhou. "R-NET: Machine Reading Comprehension with Self-matching Networks ." ACL (2017).
Kalchbrenner, Nal, Edward Grefenstette, and Phil Blunsom. "A convolutional neural network for modelling sentences ." arXiv preprint arXiv:1404.2188 (2014).
Kim, Yoon. "Convolutional neural networks for sentence classification ." arXiv preprint arXiv:1408.5882 (2014).
Le, Quoc V., and Tomas Mikolov. "Distributed representations of sentences and documents ." arXiv preprint arXiv:1405.4053 (2014).
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TransXXX
Graves, Alex, Greg Wayne, and Ivo Danihelka. "Neural turing machines ." arXiv preprint arXiv:1410.5401 (2014).
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Sukhbaatar, Sainbayar, Jason Weston, and Rob Fergus. "End-to-end memory networks ." In Advances in neural information processing systems, pp. 2440-2448. 2015.
Weston, Jason, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. "Towards ai-complete question answering: A set of prerequisite toy tasks ." arXiv preprint arXiv:1502.05698 (2015).
Bordes, Antoine, Nicolas Usunier, Sumit Chopra, and Jason Weston. "Large-scale simple question answering with memory networks ." arXiv preprint arXiv:1506.02075 (2015).
Kumar, Ankit, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, and Richard Socher. "Ask me anything: Dynamic memory networks for natural language processing ." arXiv preprint arXiv:1506.07285 (2015).
Dodge, Jesse, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, and Jason Weston. "Evaluating prerequisite qualities for learning end-to-end dialog systems ." arXiv preprint arXiv:1511.06931 (2015).
Hill, Felix, Antoine Bordes, Sumit Chopra, and Jason Weston. "The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations ." arXiv preprint arXiv:1511.02301 (2015).
Weston, Jason. "Dialog-based Language Learning ." arXiv preprint arXiv:1604.06045 (2016).
Bordes, Antoine, and Jason Weston. "Learning End-to-End Goal-Oriented Dialog ." arXiv preprint arXiv:1605.07683 (2016).
Chandar, Sarath, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, and Yoshua Bengio. "Hierarchical Memory Networks ." arXiv preprint arXiv:1605.07427 (2016).
Jason Weston."Memory Networks for Language Understanding ." ICML Tutorial 2016
Tang, Yaohua, Fandong Meng, Zhengdong Lu, Hang Li, and Philip LH Yu. "Neural Machine Translation with External Phrase Memory ." arXiv preprint arXiv:1606.01792 (2016).
Wang, Mingxuan, Zhengdong Lu, Hang Li, and Qun Liu. "Memory-enhanced Decoder for Neural Machine Translation ." arXiv preprint arXiv:1606.02003 (2016).
Xiong, Caiming, Stephen Merity, and Richard Socher. "Dynamic memory networks for visual and textual question answering ." arXiv preprint arXiv:1603.01417 (2016).
Srivastava, Rupesh Kumar, Klaus Greff, and Jürgen Schmidhuber. "Highway networks ." arXiv preprint arXiv:1505.00387 (2015).
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Courbariaux, Matthieu, and Yoshua Bengio. "Binarynet: Training deep neural networks with weights and activations constrained to+ 1 or-1 ." arXiv preprint arXiv:1602.02830 (2016).
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li. "Incorporating Copying Mechanism in Sequence-to-Sequence Learning ." ACL (2016)
Gulcehre, Caglar, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, and Yoshua Bengio. "Pointing the Unknown Words ." arXiv preprint arXiv:1603.08148 (2016).
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Network Representation Learning
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