End-to-end neural relation extraction using deep biaffine attention

End-to-end neural relation extraction using deep biaffine attention

29 December 2018

Dat Quoc Nguyen

Karin Verspoor

Papers citing "End-to-end neural relation extraction using deep biaffine attention"

9 / 9 papers shown

Title
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path Zilong Wang Jingbo Shang 49 0 0 23 May 2023
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers Nguyen Anh Tu Hoang Thi Thu Uyen Tu Minh Phuong Ngo Xuan Bach AILaw 23 1 0 27 Apr 2023
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events A. Yazdani D. Proios H. Rouhizadeh Douglas Teodoro 21 7 0 08 Feb 2023
A sequence-to-sequence approach for document-level relation extraction John Giorgi Gary D. Bader Bo Wang 41 52 0 03 Apr 2022
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify Entities Nicholas Popovic Walter Laurito Michael Färber 22 10 0 10 Mar 2022
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey Tapas Nayak Navonil Majumder Pawan Goyal Soujanya Poria ViT 16 49 0 31 Mar 2021
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders Jue Wang Wei Lu 26 224 0 08 Oct 2020
Learning the grammar of drug prescription: recurrent neural network grammars for medication information extraction in clinical texts Ivan Lerner Jordan Jouffroy Anita Burgun A. Neuraz 27 9 0 24 Apr 2020
Span-based Joint Entity and Relation Extraction with Transformer Pre-training Markus Eberts A. Ulges LRM ViT 164 380 0 17 Sep 2019