Jen-Chieh Han

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Relation Extraction

Named Entity Recognition

Customer Service

Top Venues

CLEF (Working Notes)

Briefings Bioinform.

IJCNLP (System Demonstrations)

Database J. Biol. Databases Curation

Publications

Ming-Siang Huang, Jen-Chieh Han, Pei-Yen Lin, Yu-Ting You, Richard Tzong-Han Tsai, Wen-Lian Hsu
Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource. Briefings Bioinform. 25 (3) (2024)
Bing-Chen Chih, Jen-Chieh Han, Richard Tzong-Han Tsai
NCU-IISR: Enhancing Biomedical Question Answering with GPT-4 and Retrieval Augmented Generation in BioASQ 12b Phase B. CLEF (Working Notes) (2024)
Chun-Yu Hsueh, Yu Zhang, Yu-Wei Lu, Jen-Chieh Han, Wilailack Meesawad, Richard Tzong-Han Tsai
NCU-IISR: Prompt Engineering on GPT-4 to Stove Biological Problems in BioASQ 11b Phase B. CLEF (Working Notes) (2023)
Yu Zhang, Jong Kang Lee, Jen-Chieh Han, Richard Tzong-Han Tsai
Task reformulation and data-centric approach for Twitter medication name extraction. Database J. Biol. Databases Curation 2022 (2022) (2022)
Hao-Hsuan Ting, Yu Zhang, Jen-Chieh Han, Richard Tzong-Han Tsai
NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B. CLEF (Working Notes) (2022)
Yu Zhang, Jen-Chieh Han, Richard Tzong-Han Tsai
NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B. CLEF (Working Notes) (2021)
Jen-Chieh Han, Richard Tzong-Han Tsai
NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B. CLEF (Working Notes) (2020)
Jen-Chieh Han, Richard Tzong-Han Tsai
NCU-IISR: Pre-trained Language Model for CANTEMIST Named Entity Recognition. IberLEF@SEPLN (2020)
Jui-Yang Wang, Min-Feng Kuo, Jen-Chieh Han, Chao-Chuang Shih, Chun-Hsun Chen, Po-Ching Lee, Richard Tzong-Han Tsai
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification. IJCNLP (System Demonstrations) (2017)