Reading List for Discourse
Implicit Discourse Relation
- Automatic sense prediction for implicit discourse relations in text. Emily Pitler, Annie Louis, Ani Nenkova. ACL’09 Local Copy
- Recognizing Implicit Discourse Relations in the Penn Discourse Treebank. Ziheng Lin, Min-Yen Kan and Hwee Tou Ng. EMNLP’09 Local Copy
- Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns. Attapol T. Rutherford, Nianwen Xue. EACL’14 Local Copy
- A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification. Lianhui Qin, Zhisong Zhang, Hai Zhao. EMNLP’16 Local Copy
- Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing. ACL’17 Local Copy
- SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition. Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan IJCAI’17 Local Copy
- Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu Min-Yen Kan AAAI’18 Local Copy
- Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph. Zeyu Dai and Ruihong Huang. NAACL-HLT’18 Local Copy
- Deep Enhanced Representation for Implicit Discourse Relation Recognition. Hongxiao Bai, Hai Zhao. COLING’18 Local Copy
Text Coherence
- What excludes an Alternative in Coherence Relations? Bonnie Webber. IWCS’13 Local Copy
- Modeling Local Coherence: An Entity-Based Approach. Regina Barzilay, Marella lapata. CL’08 Local Copy
- Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. Shafiq Joty, Muhammad Tasnim Mohiuddin, Dat Tien Nguyen. ACL’18 Local Copy
- Using Lexical Chains for Text Summarization. Regina Barzilay and Michael Elhadad. Intelligent Scalable Text Summarization’97 Local Copy
- Automatically Evaluating Text Coherence Using Discourse Relations, Ziheng Lin, Hwee Tou Ng and Min-Yen Kan ACL’11 Local Copy
- Extractive Summarization of a Document using Lexical Chains. Chirantana Mallick, Madhurima Dutta, Ajit Kumar Das, Apurba Sarkar, and Asit K Das. Springer. Local copy
- A Cross-Domain Transferable Neural Coherence Model. Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung. ACL’19 Local copy
- Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. Tasnim Mohiuddin, Shafiq Joty, Dat Tien Nguyen. ACL’18 Local copy
- An introduction to functional grammar. M.A.K. Halliday Local copy
Going to other reading lists: Link
- Automatically Evaluating Text Coherence Using Discourse Relations, Ziheng Lin, Hwee Tou Ng and Min-Yen Kan ACL’11 Local Copy
I like this work a lot, because it tells the intrinsic properties of their model and their relation with other important concept. For example:
We hypothesize that the sequence of discourse role transitions in a coherent text provides clues that distinguish it from an incoherent text. The discourse role matrix thus provides the foundation for com- puting such role transitions, on a per term basis. In fact, each column of the matrix corresponds to a lexical chain (Morris and Hirst, 1991) for a partic- ular term across the whole text. The key differences from the traditional lexical chains are that our chain nodes’ entities are simplified (they share the same stemmed form, instead being connected by WordNet relations), but are further enriched by being typed with discourse relations.