mlsanityData to 14 Oct 2026

Coreference Resolution for Vietnamese Narrative Texts

arXiv 2504.19606 ↗First posted 28 Apr 2025cs.CLcited by 3

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Abstract (arXiv)

Coreference resolution is a vital task in natural language processing (NLP) that involves identifying and linking different expressions in a text that refer to the same entity. This task is particularly challenging for Vietnamese, a low-resource language with limited annotated datasets. To address these challenges, we developed a comprehensive annotated dataset using narrative texts from VnExpress, a widely-read Vietnamese online news platform. We established detailed guidelines for annotating entities, focusing on ensuring consistency and accuracy. Additionally, we evaluated the performance of large language models (LLMs), specifically GPT-3.5-Turbo and GPT-4, on this dataset. Our results demonstrate that GPT-4 significantly outperforms GPT-3.5-Turbo in terms of both accuracy and response consistency, making it a more reliable tool for coreference resolution in Vietnamese.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 28 Apr 2025.

Builds on

13 of 28 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
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  6. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,234
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  9. 2021Few-shot Learning with Multilingual Language Modelscited by 278
  10. 2017End-to-end Neural Coreference Resolutioncited by 241
  11. 2016Deep Reinforcement Learning for Mention-Ranking Coreference Modelscited by 63
  12. 2018VnCoreNLP: A Vietnamese Natural Language Processing Toolkitcited by 51
1 more
  1. 2023ViHOS: Hate Speech Spans Detection for Vietnamesecited by 13

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networkscited by 2
  2. 2025Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphscited by 2
  3. 2025CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networkscited by 1