Separate and Integrate Different Level Reasoning for Event Causality Identification-Reference-Cited by-同舟云学术

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Separate and Integrate Different Level Reasoning for Event Causality Identification

Published:2024-06-30 Issue: Volume:1 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Deng Yuchang¹,Huang Wenti²,Chen Tingxuan³,Long Jun⁴

Affiliation:

1. Xinjiang University,School of Software,Urumqi,China

2. Hunan University of Science and Technology,School of Computer Science and Engineering,Changsha,China

3. Central South University,School of Computer Science and Engineering,Changsha,China

4. Central South University,Big Data Institute,Changsha,China

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650503.pdf?arnumber=10650503

Reference38 articles.

1. Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering

2. A Survey of Event Extraction From Text

3. Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures

4. Ergo: Event relational graph transformer for document-level event causality identification.(2022);CHEN

5. SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction

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