I am a Ph.D. student at the Natural Language Processing and Representation Learning (NRL) Lab at VISTEC, Thailand. Under the supervision of Assoc. Prof. Dr. Sarana Nutanong and co-supervision of Assoc. Prof. Dr. Attapol Rutherford, I am working on my thesis titled "A Study on Resource Constraints and Bi-lingual Transfer in Named Entity Recognition."
My research focuses on information extraction tasks, Named Entity Recognition (NER), and Representation Learning. My work aims to address the challenges in NER, including limited resources for Thai NER, issues related to open class problems with unseen or long-tail entities, multilingual and domain-specific. My co-authors and I have previously worked on developing a Thai Fine-grained Nested NER dataset to bridge the gap between low-resource and high-resource languages. Additionally, we have explored few-shot learning techniques, leveraging large language models to generate relevant examples and enhance the effectiveness of few-shot NER.
Currently, I am focusing on creating a bilingual finance-NER dataset in Thai and English to study knowledge transfer from high-resource to low-resource languages.
• Ph.D. in Information Science and Technology (5-year program): GPA: 4.00/4.00
Relevant coursework: Natural Language Processing, Computational Machine Intelligence and
Applications.
• B.Eng. in Computer Engineering: GPA: 3.62/4.00 (Top 1)
Relevant coursework: Data Structures and Algorithms, Operating Systems, Software Engineering.
• Research Assistant: VISTEC, Rayong, Thailand (Nov 2019 – Aug 2020)
Developed a Thai Nested Named Entity Recognition (N-NER) model, ensuring accuracy through testing
and analysis.
• Visiting Ph.D.: IT University of Copenhagen, Denmark (Sep 2024 – July 2025) Conducted research on cross-lingual NER and multilingual representation learning under the supervision of Prof. Rob van der Goot.
• Co-organizer:
- W-NUT 2025 (collocated with NAACL2025) and MultiLexNorm2
• Reviewers:
- ARR-EMNLP 2024