no code implementations • LREC 2022 • Taichi Murayama, Shohei Hisada, Makoto Uehara, Shoko Wakamiya, Eiji Aramaki
Using the annotation scheme, we construct and publish the first Japanese fake news dataset.
1 code implementation • WASSA (ACL) 2022 • Patrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya
Afterwards, a correlation analysis between the extracted emotions and a set of vaccination measures in Japan was conducted. The results revealed that surprise and fear were the most intense emotions predicted by the model for writers and readers, respectively, on the vaccine-related Tweet dataset.
1 code implementation • 23 May 2023 • Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe
Geoparsing is a fundamental technique for analyzing geo-entity information in text.
no code implementations • 19 May 2023 • Hiroki Ouchi, Hiroyuki Shindo, Shoko Wakamiya, Yuki Matsuda, Naoya Inoue, Shohei Higashiyama, Satoshi Nakamura, Taro Watanabe
We have constructed Arukikata Travelogue Dataset and released it free of charge for academic research.
no code implementations • 6 Apr 2022 • Taichi Murayama, Shohei Hisada, Makoto Uehara, Shoko Wakamiya, Eiji Aramaki
Using the annotation scheme, we construct and publish the first Japanese fake news dataset.
no code implementations • WNUT (ACL) 2021 • Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
Fake news causes significant damage to society. To deal with these fake news, several studies on building detection models and arranging datasets have been conducted.
no code implementations • 5 Jul 2021 • Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions.
no code implementations • NAACL (BioNLP) 2021 • Shogo Ujiie, Hayate Iso, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining.
1 code implementation • 31 Dec 2020 • Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
One problem is that previous studies have assessed the risk for different real-world privacy leakage scenarios and attack methods, which reduces the portability of the findings.
no code implementations • COLING 2020 • Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
To make use of the similarity in offensive expressions among different social media platforms, we adopted state-of-the-art models trained on offensive expressions from Twitter for our Twitch data (i. e., transfer learning).
no code implementations • 21 Apr 2020 • Shohei Hisada, Taichi Murayama, Kota Tsubouchi, Sumio Fujita, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
Second, we extracted the location of the WSSCI via the smartphone application.
1 code implementation • 17 Apr 2020 • Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home."
no code implementations • WS 2017 • Ryo Takeuchi, Hayate Iso, Kaoru Ito, Shoko Wakamiya, Eiji Aramaki
Based on these results, we can infer that social sensors can reliably detect unseasonal and local disease events under certain conditions, just as they can for seasonal or global events.
no code implementations • 8 May 2017 • Hayate Iso, Shoko Wakamiya, Eiji Aramaki
Nowadays, geographic information related to Twitter is crucially important for fine-grained applications.
no code implementations • WS 2016 • Daisaku Shibata, Shoko Wakamiya, Ayae Kinoshita, Eiji Aramaki
This study investigates features of the words that AD patients use in their spoken language.
no code implementations • COLING 2016 • Hayate Iso, Shoko Wakamiya, Eiji Aramaki
Because of the increasing popularity of social media, much information has been shared on the internet, enabling social media users to understand various real world events.