Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information-Reference-Cited by-同舟云学术

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Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
language:
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Author:

Asada Masaki,Miwa Makoto,Sasaki Yutaka

Publisher

Association for Computational Linguistics

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement;PLOS Computational Biology;2024-04-16

2. Drug–Drug Interaction Relation Extraction Based on Deep Learning: A Review;ACM Computing Surveys;2024-03-13

3. Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning;PLOS ONE;2024-01-17

4. Enhancing Relation Extraction from Biomedical Texts by Large Language Models;Lecture Notes in Computer Science;2024

5. Toward Unified AI Drug Discovery with Multimodal Knowledge;Health Data Science;2024-01

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