Papers by Huey Fang Ong
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction (2024.lrec-main)
Copied to clipboard
| Challenge: | Standard English and Malaysian English exhibit significant differences in morphosyntactic variations . existing datasets are not sufficient to enhance NLP tasks in Malaysian english . |
| Approach: | They propose to use a Malaysian English news article dataset to refine NER models for Malaysian english. |
| Outcome: | The proposed dataset can improve the performance of NER on Malaysian English. |
Document-Level Zero-Shot Relation Extraction with Entity Side Information (2026.eacl-long)
Copied to clipboard
| Challenge: | Existing approaches rely on Large Language Models (LLMs) to generate synthetic data for unseen labels. |
| Approach: | They propose a document-level zero-shot relation extraction framework with Entity Side Information to solve existing problems. |
| Outcome: | The proposed approach achieves an average improvement of 11.6% in the macro F1-Score compared to baseline models and existing benchmarks. |