| A bootstrap method for automatic rule acquisition on emotion cause extraction S Yada, K Ikeda, K Hoashi, K Kageura 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 414-421, 2017 | 43 | 2017 |
| Naist covid: Multilingual covid-19 twitter and weibo dataset Z Gao, S Yada, S Wakamiya, E Aramaki arXiv preprint arXiv:2004.08145, 2020 | 32 | 2020 |
| Real-mednlp: Overview of real document-based medical natural language processing task S Yada, Y Nakamura, S Wakamiya, E Aramaki Proceedings of the 16th NTCIR Conference on Evaluation of Information Access …, 2022 | 25 | 2022 |
| Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information S Hisada, T Murayama, K Tsubouchi, S Fujita, S Yada, S Wakamiya, ... Scientific Reports 10 (1), 18680, 2020 | 23 | 2020 |
| Offensive language detection on video live streaming chat Z Gao, S Yada, S Wakamiya, E Aramaki Proceedings of the 28th international conference on computational …, 2020 | 20 | 2020 |
| Natural language processing: from bedside to everywhere E Aramaki, S Wakamiya, S Yada, Y Nakamura Yearbook of medical informatics 31 (01), 243-253, 2022 | 19 | 2022 |
| Kart: Privacy leakage framework of language models pre-trained with clinical records Y Nakamura, S Hanaoka, Y Nomura, N Hayashi, O Abe, S Yada, ... arXiv preprint arXiv:2101.00036, 2020 | 19 | 2020 |
| Semantic textual similarity in Japanese clinical domain texts using BERT FW Mutinda, S Yada, S Wakamiya, E Aramaki Methods of Information in Medicine 60 (S 01), e56-e64, 2021 | 18 | 2021 |
| Towards a versatile medical-annotation guideline feasible without heavy medical knowledge: starting from critical lung diseases S Yada, A Joh, R Tanaka, F Cheng, E Aramaki, S Kurohashi Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 17 | 2020 |
| Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer FW Mutinda, K Liew, S Yada, S Wakamiya, E Aramaki BMC Medical Informatics and Decision Making 22 (1), 158, 2022 | 11 | 2022 |
| Identification of adverse drug event–related japanese articles: natural language processing analysis S Ujiie, S Yada, S Wakamiya, E Aramaki JMIR Medical Informatics 8 (11), e22661, 2020 | 11 | 2020 |
| Ntcir-17 mednlp-sc social media adverse drug event detection: Subtask overview S Wakamiya, L Raithel, HS Yeh, P Han, S Shimizu, T Nishiyama, ... NTCIR Conference on Evaluation of Information Access Technologies, 2023 | 9 | 2023 |
| Development of a book recommendation system to inspire “infrequent readers” S Yada The Emergence of Digital Libraries–Research and Practices: 16th …, 2014 | 8 | 2014 |
| Identification of hand-foot syndrome from cancer patients’ blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms S Nishioka, T Watanabe, M Asano, T Yamamoto, K Kawakami, S Yada, ... PloS one 17 (5), e0267901, 2022 | 7 | 2022 |
| Estimation of psychological distress in japanese youth through narrative writing: Text-based stylometric and sentiment analyses M Manabe, K Liew, S Yada, S Wakamiya, E Aramaki JMIR Formative Research 5 (8), e29500, 2021 | 6 | 2021 |
| Measuring public concern about Covid-19 in Japanese internet users through search queries: Infodemiological study Z Gao, S Fujita, N Shimizu, K Liew, T Murayama, S Yada, S Wakamiya, ... JMIR Public Health and Surveillance 7 (7), e29865, 2021 | 6 | 2021 |
| 学校図書館の教員サポートにおける授業に関連した資料提供の事例分析 宮田玲， 矢田竣太郎， 浅石卓真 日本図書館情報学会誌 64 (3), 115-131, 2018 | 6 | 2018 |
| Extracting multiple worries from breast cancer patient blogs using multilabel classification with the natural language processing model bidirectional encoder representations … T Watanabe, S Yada, E Aramaki, H Yajima, H Kizaki, S Hori JMIR cancer 8 (2), e37840, 2022 | 5 | 2022 |
| Medical needs extraction for breast cancer patients from question and answer services: Natural language processing-based approach M Kamba, M Manabe, S Wakamiya, S Yada, E Aramaki, S Odani, ... JMIR cancer 7 (4), e32005, 2021 | 5 | 2021 |
| KART: Parameterization of privacy leakage scenarios from pre-trained language models Y Nakamura, S Hanaoka, Y Nomura, N Hayashi, O Abe, S Yada, ... arXiv preprint arXiv:2101.00036, 2020 | 5 | 2020 |
Eiji ARAMAKINAIST (Nara Institute of Science and Technology)Email verificata su is.naist.jp
