# Definition Extraction

8 papers with code • 0 benchmarks • 3 datasets

## Benchmarks

These leaderboards are used to track progress in Definition Extraction
## Most implemented papers

# UPB at SemEval-2020 Task 6: Pretrained Language Models for 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).

# DefExt: A Semi Supervised Definition Extraction Tool

We present DefExt, an easy to use semi supervised Definition Extraction Tool.

# A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

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.

# DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction

We explore the performance of Bidirectional Encoder Representations from Transformers (BERT) at definition extraction.

# Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction

Definition Extraction systems are a valuable knowledge source for both humans and algorithms.

# Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction

We also introduce a new definition extraction method that masks mathematical symbols, creates a copy of each sentence for each symbol, specifies a target symbol, and predicts its corresponding definition spans using slot filling.

# Mathematical Entities: Corpora and Benchmarks

We then aim to test and evaluate several noteworthy natural language processing models using these corpora, to show how well they can adapt to the domain of mathematics and provide useful tools for exploring mathematical language.