Journal

1. PICO Corpus: A Publicly Available Corpus to Support Automatic Data Extraction from Biomedical Literature
   Mutinda, F.W., Liew K., Yada, S., Wakamiya, S., & Aramaki, E.
   AACL Workshop on Information Extraction from Scientific Publications (2022)
   Paper
2. Automatic Data Extraction to Support Meta-Analysis Statistical Analysis: A Case Study on Breast Cancer
   Mutinda, F.W., Liew K., Yada, S., Wakamiya, S., & Aramaki, E.
   BMC Medical Informatics and Decision Making (2022)
   Paper
3. Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT
   Mutinda, F.W., Yada, S., Wakamiya, S., & Aramaki, E.
   Methods of Information in Medicine (2021)
   Paper

International Conference

1. AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing
   Mutinda, F.W., Yada, S., Wakamiya, S., & Aramaki, E.
   MEDINFO 2021: One World, One Health–Global Partnership for Digital Innovation (2022)
   Paper
2. Time Series Link Prediction Using NMF
   Mutinda, F.W., Nakashima, A., Takeuchi, K., Sasaki, Y., & Onizuka, M.
   IEEE International Conference (2019)
   Paper

Domestic Conference

1. Detecting Redundancy in Electronic Medical Records Using Clinical BERT
   Mutinda, F.W., Nigo, S., Shibata, D., Yada, S., Wakamiya, S., & Aramaki, E.
   The Association for Natural Language Processing (2020)
   Paper