Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction-Reference-Cited by-同舟云学术

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Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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Author:

Du Jinhua,Han Jingguang,Way Andy,Wan Dadong

Publisher

Association for Computational Linguistics

Cited by 35 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. A Multi-teacher Knowledge Distillation Framework for Distantly Supervised Relation Extraction with Flexible Temperature;Lecture Notes in Computer Science;2024

2. A Long-Tail Relation Extraction Model Based on Dependency Path and Relation Graph Embedding;Lecture Notes in Computer Science;2024

3. Automated clinical knowledge graph generation framework for evidence based medicine;Expert Systems with Applications;2023-12

4. LTACL: long-tail awareness contrastive learning for distantly supervised relation extraction;Complex & Intelligent Systems;2023-09-28

5. NeuroSPE: A neuro‐net spatial relation extractor for natural language text fusing gazetteers and pretrained models;Transactions in GIS;2023-06-22

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