PROGRAM

November 19, 2024 (Centennial Hall)

9:25-9:30 Opening

9:30-9:45 "Intimacy-aware Style Control in Dialog Response Generation", Takuto Miura, Kiyoaki Shirai and Natthawut Kertkeidkachorn

9:45-10:00 "Improving English Education in Japan: Leveraging Large Language Models for Personalized and Skill-Diverse Learning", Juuso Eronen and Saeun Lee

10:00-10:15 "Japanese dialect-aware chatbot: Adapting NLP Models for Japanese Dialect Variation", Kinga Lasek, Michał Ptaszyński and Fumito Masui

10:15-10:30 "Evaluation of active generation of interlocutor profiling sentences from utterances and their implicit context", Shinji Muraji, Rafal Rzepka and Toshihiko Ito

10:30-10:45 "MAHASAMUT: AI-Powered Thai Tourism using Multimodal Agents", Nongnuch Ketui, Parinthapat Pengpun, Konthee Boonmeeprakob, Pitikorn Khlaisamniang and Thepchai Supnithi

10:45-11:00 "The Author was Killed by an AI - or Was It?", Tereza Matějková and Pavel Ircing

Coffee Break

11:30-11:45 "Dialogue in Abridged Literary Texts in Japanese: Observations and Automatic Reproducibility", Iglika Nikolova-Stoupak, Eva Schaeffer-Lacroix and Gaël Lejeune

11:45-12:30 "7 Pillars for the Future of AI", Erik Cambria (Invited Talk)

12:30-12:55 QA Session for all talks

12:55-13:00 Closing

KEYNOTE ABSTRACT

In recent years, AI research has showcased tremendous potential to impact positively humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision-making, sense disambiguation, sarcasm detection, and narrative understanding, as these require advanced kinds of reasoning, e.g., commonsense reasoning and causal reasoning, which have not been emulated satisfactorily yet. The Seven Pillars for the future of AI (https://sentic.net/7-pillars-for-the-future-of-ai.pdf) address these shortcomings and pave the way for more efficient, scalable, safe and trustworthy AI systems.

SPEAKER BIO

Erik Cambria is a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet, offering B2B sentiment analysis services, and finaXai, providing fully explainable financial insights. Prior to moving to Singapore, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore), after earning his PhD through a joint program between the University of Stirling (UK) and MIT Media Lab (USA). Today, his research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like social media monitoring, financial forecasting, and AI for social good. He is ranked in Clarivate's Highly Cited Researchers List of World's Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.

Links to past LaCATODA workshops:

http://arakilab.media.eng.hokudai.ac.jp/LaCATODA2010/
http://arakilab.media.eng.hokudai.ac.jp/Turing/LaCATODA_2012/
http://arakilab.media.eng.hokudai.ac.jp/LACATODA2017/
http://arakilab.media.eng.hokudai.ac.jp/LACATODA2018/
http://arakilab.media.eng.hokudai.ac.jp/IJCAI2019/LACATODA2019/
http://arakilab.media.eng.hokudai.ac.jp/IJCAI2020/LACATODA2020/
http://arakilab.media.eng.hokudai.ac.jp/IJCAI2021/LaCATODA2021/
http://arakilab.media.eng.hokudai.ac.jp/ACII2022/LACATODA2022/

Page updated

Google Sites

Report abuse