MLBiNet: A Cross-Sentence Collective Event Detection Network

Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen


Abstract
We consider the problem of collectively detecting multiple events, particularly in cross-sentence settings. The key to dealing with the problem is to encode semantic information and model event inter-dependency at a document-level. In this paper, we reformulate it as a Seq2Seq task and propose a Multi-Layer Bidirectional Network (MLBiNet) to capture the document-level association of events and semantic information simultaneously. Specifically, a bidirectional decoder is firstly devised to model event inter-dependency within a sentence when decoding the event tag vector sequence. Secondly, an information aggregation module is employed to aggregate sentence-level semantic and event tag information. Finally, we stack multiple bidirectional decoders and feed cross-sentence information, forming a multi-layer bidirectional tagging architecture to iteratively propagate information across sentences. We show that our approach provides significant improvement in performance compared to the current state-of-the-art results.
Anthology ID:
2021.acl-long.373
Volume:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4829–4839
Language:
URL:
https://aclanthology.org/2021.acl-long.373
DOI:
10.18653/v1/2021.acl-long.373
Bibkey:
Cite (ACL):
Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, and Huajun Chen. 2021. MLBiNet: A Cross-Sentence Collective Event Detection Network. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 4829–4839, Online. Association for Computational Linguistics.
Cite (Informal):
MLBiNet: A Cross-Sentence Collective Event Detection Network (Lou et al., ACL-IJCNLP 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/2021.acl-long.373.pdf
Video:
 https://preview.aclanthology.org/ingest-acl-2023-videos/2021.acl-long.373.mp4
Code
 zjunlp/DocED
Data
ACE 2005