no code implementations • EMNLP 2021 • Jinfeng Zhou, Bo wang, Ruifang He, Yuexian Hou
Although paths of user interests shift in knowledge graphs (KGs) can benefit conversational recommender systems (CRS), explicit reasoning on KGs has not been well considered in CRS, due to the complex of high-order and incomplete paths.
no code implementations • COLING 2020 • Ruifang He, Liangliang Zhao, Huanyu Liu
In this paper, we construct TWEETSUM, a new event-oriented dataset for social summarization.
no code implementations • ACL 2020 • Ruifang He, Jian Wang, Fengyu Guo, Yugui Han
Implicit discourse relation recognition is a challenging task due to the lack of connectives as strong linguistic clues.
no code implementations • IJCNLP 2019 • Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang
However, the sampled information from latent space usually becomes useless due to the KL divergence vanishing issue, and the highly abstractive global variables easily dilute the personal features of replier, leading to a non replier-specific response.
no code implementations • COLING 2018 • Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li
They ignore that one discusses diverse topics when dynamically interacting with different people.
no code implementations • COLING 2018 • Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li
In this paper, we propose a novel neural Tensor network framework with Interactive Attention and Sparse Learning (TIASL) for implicit discourse relation recognition.
no code implementations • IJCNLP 2017 • Shaoyang Duan, Ruifang He, Wenli Zhao
This paper tackles the task of event detection, which involves identifying and categorizing events.