Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
Marc H\"ubner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
TL;DR
This paper presents a system for jointly extracting concepts and their relations from text, specifically targeting definitions in English textbooks, with detailed analysis of model variations and errors.
Contribution
It introduces a novel joint extraction approach for concepts and relations in definition extraction, evaluated on a textbook corpus for the SemEval-2020 task.
Findings
Effective joint extraction of concepts and relations
Model variations impact performance significantly
Error analysis reveals key challenges in definition extraction
Abstract
Definition Extraction systems are a valuable knowledge source for both humans and algorithms. In this paper we describe our submissions to the DeftEval shared task (SemEval-2020 Task 6), which is evaluated on an English textbook corpus. We provide a detailed explanation of our system for the joint extraction of definition concepts and the relations among them. Furthermore we provide an ablation study of our model variations and describe the results of an error analysis.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Biomedical Text Mining and Ontologies