Relation extraction: A deeper dive into methods for extracting information from text
Channel: Lars Juhl Jensen
Date: 2021-07-30

An introduction to the various approaches for automatically extracting relations from text, including co-mentioning, rule-based systems, machine learning, and deep learning. You may want to watch my short introduction to the core concepts of biomedical text mining first: https://youtu.be/NcntH0WYp1M

0:00 Introduction: definition and approaches
0:42 Co-mentioning: counting, frequency normalization, strengths, and weaknesses
2:16 Rule-based: grammatical sentence parsing, hand-crafted rules, and interpretability
4:04 Machine learning: corpus annotation, text vectorization, training, and challenges
5:22 Deep learning: advantages over machine learning, pre-trained language models, BERT, and BioBERT
7:16 Use cases: systematic literature mining, databases, knowledge graphs, STRING, and other examples

Hands-on exercises on text mining are available at https://jensenlab.org/training/textmining/