Abstract
We study the problem of Event Causality Identification (ECI) to detect causal relation between event mention pairs in text. Although deep learning models have recently shown state-of-the-art performance for ECI, they are limited to the intra-sentence setting where event mention pairs are presented in the same sentences. This work addresses this issue by developing a novel deep learning model for document-level ECI (DECI) to accept inter-sentence event mention pairs. As such, we propose a graph-based model that constructs interaction graphs to capture relevant connections between important objects for DECI in input documents. Such interaction graphs are then consumed by graph convolutional networks to learn document context-augmented representations for causality prediction between events. Various information sources are introduced to enrich the interaction graphs for DECI, featuring discourse, syntax, and semantic information. Our extensive experiments show that the proposed model achieves state-of-the-art performance on two benchmark datasets.- Anthology ID:
- 2021.naacl-main.273
- Volume:
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Editors:
- Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tur, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3480–3490
- Language:
- URL:
- https://aclanthology.org/2021.naacl-main.273
- DOI:
- 10.18653/v1/2021.naacl-main.273
- Cite (ACL):
- Minh Tran Phu and Thien Huu Nguyen. 2021. Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3480–3490, Online. Association for Computational Linguistics.
- Cite (Informal):
- Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures (Tran Phu & Nguyen, NAACL 2021)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2021.naacl-main.273.pdf