.png){kind=icon}
返回
Syntax grounded graph convolutional network for joint entity and event extraction
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2020.09.044.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Event extraction aims to determine entity mentions, event triggers and argument roles in text, such as news articles. For this task, dependency syntax has been recognized as a valuable source of information. Previous work integrates dependency trees by using one-best results from a parser, where potential incorrect dependencies may impact the event extraction performance. We propose to use syntax features in an implicit approach, by adopting Soft Head Vectors (SHV) drawn from a well-trained parser as an adja-cency matrix, densely connecting all words with the probabilistic head scores. SHV can be also regarded as dependency forests where multiple possible structures can be taken into account. A two-phase graph neural network is adopted to represent the forests, automatically differentiating the salient syntactic information from noisy parsers. Experiments on the two public datasets show that our model outperforms various baselines including graph-based one-best tree as well as recent transition-based decoding, giving the state-of-the-art results in the literature. (c) 2020 Elsevier B.V. All rights reserved.
Keyword:
Event extraction
End-to-end
Joint learning
Graph convolutional network
Dependency forest
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Computer-assisted transurethral laser resection of the prostate (CALRP): theoretical and experimental motion plan计算机辅助经尿道前列腺激光切除术（CALRP）：理论及实验运动方案
.png){kind=icon}
PREAI
分享收藏
分享收藏
Ecosystems and Land-use Change in the Yaqui Valley: Does Agricultural Intensification “Spare Land for Nature”?生态系统与土地利用变化：在亚基山谷，农业集约化是否“为自然腾出土地”？
PREAI
分享收藏Liquid Metal-Filled Polymer Fiber as Wing-Type Inductive Sensors for Deformation and Airflow Sensing液态金属填充聚合物纤维作为翼型电感传感器用于形变和气流传感
PREAI
分享收藏The I and the We: Individuality, Collectivity, and Samoan Artistic Responses to Cultural Change
PREAI
分享收藏
查看更多内容