6 papers with code • 0 benchmarks • 3 datasets
These leaderboards are used to track progress in Definition Extraction
This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval).
In this work, we propose a novel model for DE that simultaneously performs the two tasks in a single framework to benefit from their inter-dependencies.
We explore the performance of Bidirectional Encoder Representations from Transformers (BERT) at definition extraction.
Definition Extraction systems are a valuable knowledge source for both humans and algorithms.