ACL 2018/2019 and CIKM 2018 relevant papers

[caiyinqiong]

ACL2018

• Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network: Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu
• Think Visually: Question Answering through Virtual Imagery: Ankit Goyal, Jian Wang, Jia Deng
• Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce: Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

ACL2019

• A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching: Jihun Choi, Taeuk Kim, Sang-goo Lee
• Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction: Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita
• Matching Article Pairs with Graphical Decomposition and Convolutions: Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

CIKM2018

• A Globalization-Semantic Matching Neural Network for Paraphrase Identification: Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li
• AQuPR: Attention based Query Passage Retrieval: Parth Pathak, Mithun Das Gupta, Niranjan Nayak, Harsh Kohli
• Retrieve-and-Read: Multi-task Learning of Information: Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, and Junji Tomita
• Attentive Neural Architecture for Ad-hoc Structured Document: Saeid Balaneshinkordan, Alexander Kotov, Fedor Nikolaev

[bwanglzu]

@faneshion @pl8787 @yangliuy Can you review these papers? And we finalize with PR.

[yangliuy]

Looks good to me. I add one paper from ACL2019.

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. Jiazhan Feng, Chongyang Tao, wei wu, Yansong Feng, Dongyan Zhao and Rui Yan.