Definition Extraction
7 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Definition Extraction
DEFT Corpus
ProNCI
Latest papers with no code
Parmesan: mathematical concept extraction for education
However, mathematics is used in a wide variety of fields and multidisciplinary research in many different domains often relies on an understanding of mathematical concepts.
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction
Our systems respectively achieve 0. 830 and 0. 994 F1-scores on the official test set, and we believe that the insights derived from our study are potentially relevant to help advance the research on definition extraction.
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction
This paper describes our approach to {``}DeftEval: Extracting Definitions from Free Text in Textbooks{''} competition held as a part of Semeval 2020.
BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model
The paper describes our system BERTatDE1 in sentence classification task (subtask 1) and sequence labeling task (subtask 2) in the definition extraction (SemEval-2020 Task 6).
T\"uKaPo at SemEval-2020 Task 6: Def(n)tly Not BERT: Definition Extraction Using pre-BERT Methods in a post-BERT World
We describe our system (T{\"u}KaPo) submitted for Task 6: DeftEval, at SemEval 2020.
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction
The goal of this task is to extract definition, word level BIO tags and relations.
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks
We also present a new dataset for definition extraction from mathematical texts.
RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2.
SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus
Research on definition extraction has been conducted for well over a decade, largely with significant constraints on the type of definitions considered.
Automated Discovery of Mathematical Definitions in Text
We also present a new dataset for definition extraction from mathematical texts.
