no code implementations • Findings of the Association for Computational Linguistics 2020 • Bingfeng Luo, Zuo Bai, Kunfeng Lai, Jianping Shen
In addition, it reduces human involvement in template design by using a text stitch model to automatically stitch adjacent template units, which is a step that usually requires careful template design and limits template reusability.
1 code implementation • 18 Aug 2020 • Xiaoyu Kou, Bingfeng Luo, Huang Hu, Yan Zhang
While various forms of models are proposed for the link prediction task, most of them are designed based on a few known relation patterns in several well-known datasets.
1 code implementation • 26 Nov 2019 • Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao
However, such models often make predictions for each entity pair individually, thus often fail to solve the inconsistency among different predictions, which can be characterized by discrete relation constraints.
no code implementations • 9 Nov 2018 • Li-Wei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo, Dongyan Zhao
Relation extraction is the task of identifying predefined relationship between entities, and plays an essential role in information extraction, knowledge base construction, question answering and so on.
no code implementations • EMNLP 2018 • Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen
The 20 Questions (Q20) game is a well known game which encourages deductive reasoning and creativity.
no code implementations • ACL 2018 • Bingfeng Luo, Yansong Feng, Zheng Wang, Songfang Huang, Rui Yan, Dongyan Zhao
The success of many natural language processing (NLP) tasks is bound by the number and quality of annotated data, but there is often a shortage of such training data.
no code implementations • EMNLP 2017 • Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, Dongyan Zhao
The charge prediction task is to determine appropriate charges for a given case, which is helpful for legal assistant systems where the user input is fact description.
no code implementations • ACL 2017 • Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao
We show that the dynamic transition matrix can effectively characterize the noise in the training data built by distant supervision.