0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

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

2021 28 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Corey A. Harper, Corey A. Harper, Jessica Cox, Jessica Cox, Curt Kohler, Curt Kohler, Antony Scerri, Antony Scerri, Ron Daniel, Paul Groth

Summary

Researchers describe MeasEval, a SemEval 2021 shared task for extracting counts, measurements, and contextual relationships from scientific documents, receiving over 75 submissions from 25 participants and producing datasets intended to advance scientific knowledge extraction and automated knowledge graph construction.

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.

Sign in to start a discussion.

Share this paper