Back to Main Conference 2024
LREC-COLING 2024main

BKEE: Pioneering Event Extraction in the Vietnamese Language

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

DOI:10.63317/3nw5gx8fnhu8

Abstract

Event Extraction (EE) is a fundamental task in information extraction, aimed at identifying events and their associated arguments within textual data. It holds significant importance in various applications and serves as a catalyst for the development of related tasks. Despite the availability of numerous datasets and methods for event extraction in various languages, there has been a notable absence of a dedicated dataset for the Vietnamese language. To address this limitation, we propose BKEE, a novel event extraction dataset for Vietnamese. BKEE encompasses over 33 distinct event types and 28 different event argument roles, providing a labeled dataset for entity mentions, event mentions, and event arguments on 1066 documents. Additionally, we establish robust baselines for potential downstream tasks on this dataset, facilitating the analysis of challenges and future development prospects in the field of Vietnamese event extraction.

Details

Paper ID
lrec2024-main-0217
Pages
pp. 2421-2427
BibKey
nguyen-etal-2024-bkee
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
2522-2686
ISBN
979-10-95546-34-4
Conference
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Location
Turin, Italy
Date
20 May 2024 25 May 2024

Authors

  • TN

    Thi-Nhung Nguyen

  • BT

    Bang Tien Tran

  • TL

    Trong-Nghia Luu

  • TN

    Thien Huu Nguyen

  • KN

    Kiem-Hieu Nguyen

Links