Work

Constructing a Silver Corpus for Weakly Supervised Vietnamese Event Extraction using Cross-Document N-ary Relation Filtering

Year: 2026

Type: conference-paper

Abstract: Event extraction for low-resource languages such as Vietnamese is limited by the lack of large-scale annotated data.To address this, we propose a weakly supervised framework that constructs a silver corpus via pseudo-labeling.We introduce a cross-document n-ary relation filtering strategy to reduce noise by leveraging consistency across multiple articles describing the same event, and further enhance data diversity with schema-based augmentation.Experiments on the BKEE benchmark show consistent improvements, demonstrating the effectiveness of our approach.Data is available at:

Source: Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA)

DOI: 10.18653/v1/2026.eeuca-1.4

Authors: Phạm Xuân Hiệu, Tuan Vu Minh, Mai-Vu Tran, Hoang-Quynh Le

Institution: VNU University of Engineering and Technology

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166833677

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