Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges
Author:
Affiliation:
1. Computer Information Science Department, Centre for Research in Data Science (CeRDaS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Funder
Universiti Teknologi PETRONAS through Yayasan Universiti Teknologi PETRONAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10032132.pdf?arnumber=10032132
Reference186 articles.
1. A Study on Machine Learning Approaches for Named Entity Recognition
2. Fine-Grained Chinese Named Entity Recognition Based on MacBERT-Attn-BiLSTM-CRF Model
3. DWIE: An entity-centric dataset for multi-task document-level information extraction
4. Enhancing Performance of Biomedical Named Entity Recognition
5. Information extraction from scientific articles: a survey
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