Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Yiping Jin, Min‐Yen Kan, Jun-Ping Ng, Xiangnan He · 2013
This paper presents DefMiner, a supervised sequence labeling system that identifies scientific terms and their accompanying definitions.DefMiner achieves 85% F 1 on a Wikipedia benchmark corpus, significantly improving the previous state-of-the-art by 8%.We exploit DefMiner to process the ACL Anthology Reference Corpus (ARC) -a large, real-world digital library of scientific articles in computational linguistics.The resulting automatically-acquired glossary represents the terminology defined over several thousand individual research articles.We highlight several interesting observations: more definitions are introduced for conference and workshop papers over the years and that multiword terms account for slightly less than half of all terms.Obtaining a list of popular defined terms in a corpus of computational linguistics papers, we find that concepts can often be categorized into one of three categories: resources, methodologies and evaluation metrics.