| Twitter catches the flu: detecting influenza epidemics using Twitter E Aramaki, S Maskawa, M Morita Proceedings of the 2011 Conference on empirical methods in natural language …, 2011 | 926 | 2011 |
| DialBetics: a novel smartphone-based self-management support system for type 2 diabetes patients K Waki, H Fujita, Y Uchimura, K Omae, E Aramaki, S Kato, H Lee, ... Journal of diabetes science and technology 8 (2), 209-215, 2014 | 228 | 2014 |
| Extraction of adverse drug effects from clinical records E Aramaki, Y Miura, M Tonoike, T Ohkuma, H Masuichi, K Waki, K Ohe MEDINFO 2010, 739-743, 2010 | 162 | 2010 |
| Text2table: Medical text summarization system based on named entity recognition and modality identification E Aramaki, Y Miura, M Tonoike, T Ohkuma, H Masuichi, K Ohe Proceedings of the BioNLP 2009 Workshop, 185-192, 2009 | 104 | 2009 |
| Finding structural correspondences from bilingual parsed corpus for corpus-based translation H Watanabe, S Kurohashi, E Aramaki COLING 2000 Volume 2: The 18th International Conference on Computational …, 2000 | 101 | 2000 |
| Use trend analysis of twitter after the great east japan earthquake M Miyabe, A Miura, E Aramaki Proceedings of the ACM 2012 conference on Computer Supported Cooperative …, 2012 | 90 | 2012 |
| Twitter-based influenza detection after flu peak via tweets with indirect information: text mining study S Wakamiya, Y Kawai, E Aramaki JMIR public health and surveillance 4 (3), e8627, 2018 | 78 | 2018 |
| Automatic deidentification by using sentence features and label consistency E Aramaki, T Imai, K Miyo, K Ohe i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data …, 2006 | 77 | 2006 |
| Modeling the spread of fake news on Twitter T Murayama, S Wakamiya, E Aramaki, R Kobayashi Plos one 16 (4), e0250419, 2021 | 68 | 2021 |
| Changing moods: How manual tracking by family caregivers improves caring and family communication N Yamashita, H Kuzuoka, K Hirata, T Kudo, E Aramaki, K Hattori Proceedings of the 2017 chi conference on human factors in computing systems …, 2017 | 67 | 2017 |
| Vocabulary size in speech may be an early indicator of cognitive impairment E Aramaki, S Shikata, M Miyabe, A Kinoshita PloS one 11 (5), e0155195, 2016 | 64 | 2016 |
| Overview of the NTCIR-10 MedNLP Task. M Morita, Y Kano, T Ohkuma, M Miyabe, E Aramaki NTCIR, 2013 | 64 | 2013 |
| Overview of the NTCIR-11 MedNLP-2 Task. E Aramaki, M Morita, Y Kano, T Ohkuma NTCIR, 2014 | 61 | 2014 |
| Learning to select, track, and generate for data-to-text H Iso, Y Uehara, T Ishigaki, H Noji, E Aramaki, I Kobayashi, Y Miyao, ... Journal of Natural Language Processing 27 (3), 599-626, 2020 | 48 | 2020 |
| A clinical specific BERT developed using a huge Japanese clinical text corpus Y Kawazoe, D Shibata, E Shinohara, E Aramaki, K Ohe Plos one 16 (11), e0259763, 2021 | 45 | 2021 |
| How information sharing about care recipients by family caregivers impacts family communication N Yamashita, H Kuzuoka, T Kudo, K Hirata, E Aramaki, K Hattori Proceedings of the 2018 chi conference on human factors in computing systems …, 2018 | 44 | 2018 |
| Forecasting word model: Twitter-based influenza surveillance and prediction H Iso, S Wakamiya, E Aramaki Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 43 | 2016 |
| Tweet classification toward Twitter-based disease surveillance: new data, methods, and evaluations S Wakamiya, M Morita, Y Kano, T Ohkuma, E Aramaki Journal of medical Internet research 21 (2), e12783, 2019 | 40 | 2019 |
| Detecting Japanese patients with Alzheimer’s disease based on word category frequencies D Shibata, S Wakamiya, A Kinoshita, E Aramaki Proceedings of the Clinical Natural Language Processing Workshop …, 2016 | 39 | 2016 |
| How do rumors spread during a crisis? Analysis of rumor expansion and disaffirmation on Twitter after 3.11 in Japan M Miyabe, A Nadamoto, E Aramaki International Journal of Web Information Systems 10 (4), 394-412, 2014 | 38 | 2014 |
Shoko WakamiyaNara Institute of Science and Technology在 is.naist.jp 的电子邮件经过验证
