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arXiv 2104.01364cs.CL

Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data

Indian Institute of Technology Kanpur (IIT Kanpur)(印度理工学院坎普尔分校)

Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi

英文摘要:

This paper presents the system for SemEval 2021 Task 8 (MeasEval). MeasEval is a novel span extraction, classification, and relation extraction task focused on finding quantities, attributes of these quantities, and additional information, including the related measured entities, properties, and measurement contexts. Our submitted system, which placed fifth (team rank) on the leaderboard, consisted of SciBERT with [CLS] token embedding and CRF layer on top. We were also placed first in Quantity (tied) and Unit subtasks, second in MeasuredEntity, Modifier and Qualifies subtasks, and third in Qualifier subtask.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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