natural-language-processing-4

Definition Extraction

3260 papers • 126 benchmarks • 313 datasets

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Datasets

DEFT Corpus

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Most implemented papers

UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction

Andrei-Marius Avram, Dumitru-Clementin Cercel, Costin-Gabriel Chiru•Thu Sep 10 2020

This work uses various pretrained language models (i.e., BERT, XLNet, RoBERTa, SciBERT, and ALBERT) to solve each of the three subtasks of the DeftEval competition, and explores a multi-task architecture that was trained to jointly predict the outputs for the second and the third subtasks.

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DefExt: A Semi Supervised Definition Extraction Tool

Luis Espinosa Anke, Horacio Saggion, Roberto Carlini, Francesco Ronzano•Tue Jun 07 2016

The present paper presents Globalex: Lexicographic Resources for Human Language Technology, a full day workshop at LREC2016, Portorož, Slovenia, which highlights the need for lexicographic resources for human language technology.

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

D. Dou, Franck Dernoncourt, Thien Huu Nguyen, Amir Pouran Ben Veyseh•Mon Nov 04 2019

This work proposes a novel model for DE that simultaneously performs the two tasks in a single framework to benefit from their inter-dependencies and presents a multi-task learning framework that employs graph convolutional neural networks and predicts the dependency paths between the terms and the definitions.

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

Aadarsh Singh, Priyanshu Kumar, Aman Sinha•Wed Sep 16 2020

This work explores the performance of Bidirectional Encoder Representations from Transformers at definition extraction and proposes a joint model of BERT and Text Level Graph Convolutional Network so as to incorporate dependencies into the model.

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

Leonhard Hennig, Christoph Alt, Marc Hübner, Robert Schwarzenberg•Tue Mar 30 2021

This paper describes the submissions to the DeftEval shared task (SemEval-2020 Task 6), which is evaluated on an English textbook corpus, and provides a detailed explanation of the system for the joint extraction of definition concepts and the relations among them.

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