SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts

Corey Harper, Jessica Cox, Curt Kohler, Antony Scerri, Ron Daniel Jr., Paul Groth


Abstract
We describe MeasEval, a SemEval task of extracting counts, measurements, and related context from scientific documents, which is of significant importance to the creation of Knowledge Graphs that distill information from the scientific literature. This is a new task in 2021, for which over 75 submissions from 25 participants were received. We expect the data developed for this task and the findings reported to be valuable to the scientific knowledge extraction, metrology, and automated knowledge base construction communities.
Anthology ID:
2021.semeval-1.38
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Editors:
Alexis Palmer, Nathan Schneider, Natalie Schluter, Guy Emerson, Aurelie Herbelot, Xiaodan Zhu
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
306–316
Language:
URL:
https://aclanthology.org/2021.semeval-1.38
DOI:
10.18653/v1/2021.semeval-1.38
Bibkey:
Cite (ACL):
Corey Harper, Jessica Cox, Curt Kohler, Antony Scerri, Ron Daniel Jr., and Paul Groth. 2021. SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 306–316, Online. Association for Computational Linguistics.
Cite (Informal):
SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts (Harper et al., SemEval 2021)
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Video:
 https://preview.aclanthology.org/naacl24-info/2021.semeval-1.38.mp4