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ICDM 2020 Knowledge Graph Contest: Consumer Event-Cause Extraction
April 25, 2024, 5:45 p.m. | Congqing He, Jie Zhang, Xiangyu Zhu, Huan Liu, Yukun Huang
cs.CL updates on arXiv.org arxiv.org
Abstract: Consumer Event-Cause Extraction, the task aimed at extracting the potential causes behind certain events in the text, has gained much attention in recent years due to its wide applications. The ICDM 2020 conference sets up an evaluation competition that aims to extract events and the causes of the extracted events with a specified subject (a brand or product). In this task, we mainly focus on how to construct an end-to-end model, and extract multiple event …
abstract applications arxiv attention competition conference consumer contest cs.ai cs.cl evaluation event events extract extraction graph knowledge knowledge graph text type
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