nefujiangping / paper-list

Some papers to be read or hava been read.

Text Summarization

1. 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).
2. 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).
3. Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun. A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss. ACL (2018).
4. Li, Piji, Lidong Bing, and Wai Lam. Actor-Critic based Training Framework for Abstractive Summarization. arXiv preprint arXiv:1803.11070 (2018).
5. Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi. Deep Communicating Agents for Abstractive Summarization. NAACL (2018).
6. Yuxiang Wu, Baotian Hu. Learning to Extract Coherent Summary via Deep Reinforcement Learning. AAAI (2018).
7. Narayan, Shashi, Shay B. Cohen, and Mirella Lapata. Ranking Sentences for Extractive Summarization with Reinforcement Learning. arXiv preprint arXiv:1802.08636 (2018).
8. Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou. Sequential Copying Networks. AAAI (2018).
9. Jianmin Zhang, Jiwei Tan, Xiaojun Wan. Towards a Neural Network Approach to Abstractive Multi-Document Summarization. arXiv:1804.09010 (2018).
10. Chen, Wenhu, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, and Ming Zhou. Generative Bridging Network in Neural Sequence Prediction. NAACL (2018).
11. Junyang Lin, Xu Sun, Shuming Ma, Qi Su. Global Encoding for Abstractive Summarization. ACL (2018).
12. Baoxin Wang. Disconnected Recurrent Neural Networks for Text Categorization. ACL (2018).

Text Generation

1. Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight. Paper Abstract Writing through Editing Mechanism. ACL (2018). code
2. Angela Fan, Mike Lewis, Yann Dauphin. Hierarchical Neural Story Generation.

NLP

1. Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang. Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
2. Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar. Deep Active Learning for Named Entity Recognition.