Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results-Reference-Cited by-同舟云学术

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Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Author:

Magnusson Ian,Friedman Scott

Publisher

Association for Computational Linguistics

Cited by 7 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. Syntax-based argument correlation-enhanced end-to-end model for scientific relation extraction;Neurocomputing;2024-06

2. A BERT-based sequential deep neural architecture to identify contribution statements and extract phrases for triplets from scientific publications;International Journal on Digital Libraries;2024-01-23

3. SciND: a new triplet-based dataset for scientific novelty detection via knowledge graphs;International Journal on Digital Libraries;2024-01-08

4. Enabling Social Demography Research Using Semantic Technologies;Lecture Notes in Computer Science;2024

5. EFwork: An Efficient Framework for Constructing a Malware Knowledge Graph;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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