IJCAI 2018/2019 and WWW 2018/2019 relevant papers - Githubissues

NTMC-Community / awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

MIT License

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IJCAI 2018/2019 and WWW 2018/2019 relevant papers #30

Open Chriskuei opened 5 years ago

Chriskuei commented 5 years ago

IJCAI-2018

Weakly Learning to Match Experts in Online Community: Yujie Qian, Jie Tang, Kan Wu
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains: Yi Tay, Anh Tuan Luu, Siu Cheung Hui
Attention-Fused Deep Matching Network for Natural Language Inference, Chaoqun Duan, Lei Cui, Xinchi Chen: Furu Wei, Conghui Zhu, Tiejun Zhao

IJCAI-2019

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots: Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan

WWW-2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization: Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu
A Neural Network-based Framework for Non-factoid Question Answering: Nam Khanh Tran, Claudia Niederée

WWW-2019

Semantic Text Matching for Long-Form Documents: Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
Learning Fast Matching Models from Weak Annotations: Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang
Local Matching Networks for Engineering Diagram Search: Zhuyun Dai, Zhen Fan, Hafeezul Rahman, Jamie Callanx
Learning Novelty-Aware Ranking of Answers to Complex Questions: Shahar Harel , Sefi Albo , Eugene Agichtein, Kira Radinsky
HAR: A Hierarchical Attention Retrieval Model for Healthcare Question Answering: Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy