Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction-Reference-Cited by-同舟云学术

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Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction

Published:2023-12-05 Issue: Volume: Page:4990-4992
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Zhang Beibei¹,Li Lishuang¹,Yang Qian²,Feng Dapeng³

Affiliation:

1. Dalian University Of Technology,School of Computer Science & Technology,Dalian,China

2. Shenzhen Value Online Information Technology Co., Ltd,Shenzhen,China

3. The Second Hospital Of Dalian Medical University,Department of Spine Surgery,Dalian,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385271.pdf?arnumber=10385271

Reference9 articles.

1. Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey

2. Low Resource Causal Event Detection from Biomedical Literature

3. Distant supervision for relation extraction without labeled data

4. Automatically Labeled Data Generation for Large Scale Event Extraction

5. Text-to-Text Extraction and Verbalization of Biomedical Event Graphs;Frisoni

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