Models and Techniques for Domain Relation Extraction: A Survey
Journal Title: Journal of Data Science and Intelligent Systems - Year 2023, Vol 1, Issue 2
Abstract
As the significant subtask of information extraction, relation extraction (RE) aims to identify and classify semantic relations between pairs of entities and is widely adopted as the foundation of downstream applications including knowledge graphs, intelligent question answering, text mining, and sentiment analysis. Different from general knowledge, domain knowledge is pertinent to specific fields which include a wealth of proprietary entities and relations. Besides, most of the data are formed as documents rather than sentences. In this paper, the task of domain RE is defined, and the common domains are presented. Furthermore, we provide a systematic review of state-of-the-art techniques as well as the latest trends. We survey different neural network-based techniques for RE and describe the overall framework, training procedures, as well as the pros and cons of these techniques. Then, we introduce and compare the corpus and metrics used for domain RE tasks. Finally, we conclude and discuss future research issues of domain RE.
Authors and Affiliations
Jiahui Wang, Kun Yue, Liang Duan
Keywords
Related Articles
- EP ID EP724851
- DOI 10.47852/bonviewJDSIS3202973
- Views 65
- Downloads 0
Applications of Quantum Computing in Health Sector
The purpose of this paper is to provide an overview of the current state of quantum computing in the health sector and to explore its potential future applications. Quantum computing has the potential to revolutionize a...
Federated-Based Deep Reinforcement Learning (Fed-DRL) for Energy Management in a Distributive Wireless Network
Studies on developing future generation wireless systems are expected to support increased infrastructure development and device subscriptions with densely deployed base stations (BSs). Economically, decreasing BS energy...
Evaluating Economic Impacts of Automation Using Big Data Approaches
As automation is increasingly driven by advanced technological integration, quantitatively evaluating its economic impacts becomes crucial. This paper studies the effects of automation on three economic outcomes: transac...
ARM for Analyzing Factors Influencing Vaccinations During the COVID-19 Outbreak
This article investigates factors influencing Coronavirus 2019 (COVID-19) vaccinations and public concerns using association rule mining (ARM). The experiment was conducted in Phuket at the beginning of 2022 when many pe...
Comparative Assessment of Colon Cancer Classification Using Diverse Deep Learning Approaches
Colon cancer is a general form of avoidable cancer, which is also widely spread across the globe. It is also a leading cancer and considered as big killer among all kinds of cancers. In recent times, significant advances...