no code implementations • ACL 2022 • Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu
In this paper, we firstly empirically find that existing models struggle to handle hard mentions due to their insufficient contexts, which consequently limits their overall typing performance.
1 code implementation • EMNLP 2021 • Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, Shuming Shi
Existing work on Fine-grained Entity Typing (FET) typically trains automatic models on the datasets obtained by using Knowledge Bases (KB) as distant supervision.
no code implementations • EMNLP 2021 • Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu
Auxiliary information from multiple sources has been demonstrated to be effective in zero-shot fine-grained entity typing (ZFET).
no code implementations • 3 Mar 2022 • Mao Yan Chen, Haiyun Jiang, Yujiu Yang
The short text matching task employs a model to determine whether two short texts have the same semantic meaning or intent.
no code implementations • 17 Feb 2022 • Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi
(2) reference-free metrics outperform reference-based metrics, indicating that the standard references are unnecessary to evaluate the paraphrase's quality.
no code implementations • 9 Jan 2022 • Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi
It has been shown that natural language processing (NLP) models are vulnerable to a kind of security threat called the Backdoor Attack, which utilizes a `backdoor trigger' paradigm to mislead the models.
no code implementations • ACL 2021 • Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi
This paper introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.
no code implementations • 7 Apr 2021 • Jiayang Cheng, Haiyun Jiang, Deqing Yang, Yanghua Xiao
However, few works have focused on how to validate and correct the results generated by the existing relation extraction models.
no code implementations • 31 Dec 2020 • Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi
This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.
no code implementations • 17 Dec 2020 • Zhendong Chu, Haiyun Jiang, Yanghua Xiao, Wei Wang
We see information sources as multiple views and fusing them to construct an intact space with sufficient information.
no code implementations • 9 Dec 2020 • Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao
In recent years, many complex relation extraction tasks, i. e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.
no code implementations • ACL 2019 • Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao
A type description is a succinct noun compound which helps human and machines to quickly grasp the informative and distinctive information of an entity.
1 code implementation • 21 Feb 2019 • Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang
For the purpose of measuring the importance of knowledge, we introduce attention mechanisms and propose deep Short Text Classification with Knowledge powered Attention (STCKA).