DeepAI AI Chat
Log In Sign Up

A Question-answering Based Framework for Relation Extraction Validation

04/07/2021
by   Jiayang Cheng, et al.
0

Relation extraction is an important task in knowledge acquisition and text understanding. Existing works mainly focus on improving relation extraction by extracting effective features or designing reasonable model structures. However, few works have focused on how to validate and correct the results generated by the existing relation extraction models. We argue that validation is an important and promising direction to further improve the performance of relation extraction. In this paper, we explore the possibility of using question answering as validation. Specifically, we propose a novel question-answering based framework to validate the results from relation extraction models. Our proposed framework can be easily applied to existing relation classifiers without any additional information. We conduct extensive experiments on the popular NYT dataset to evaluate the proposed framework, and observe consistent improvements over five strong baselines.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/10/2018

QA4IE: A Question Answering based Framework for Information Extraction

Information Extraction (IE) refers to automatically extracting structure...
03/03/2016

Question Answering on Freebase via Relation Extraction and Textual Evidence

Existing knowledge-based question answering systems often rely on small ...
03/09/2023

Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction

Recently, many studies incorporate external knowledge into character-lev...
04/02/2019

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

In relation extraction for knowledge-based question answering, searching...
02/26/2022

A Generative Model for Relation Extraction and Classification

Relation extraction (RE) is an important information extraction task whi...
03/24/2018

Simple Large-scale Relation Extraction from Unstructured Text

Knowledge-based question answering relies on the availability of facts, ...
09/28/2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

OpenNRE is an open-source and extensible toolkit that provides a unified...