no code implementations • SIGDIAL (ACL) 2020 • Koji Inoue, Divesh Lala, Kenta Yamamoto, Shizuka Nakamura, Katsuya Takanashi, Tatsuya Kawahara
The proposed system generates several types of listener responses: backchannels, repeats, elaborating questions, assessments, generic sentimental responses, and generic responses.
no code implementations • SIGDIAL (ACL) 2022 • Haruki Kawai, Yusuke Muraki, Kenta Yamamoto, Divesh Lala, Koji Inoue, Tatsuya Kawahara
We propose a simultaneous job interview system, where one interviewer can conduct one-on-one interviews with multiple applicants simultaneously by cooperating with the multiple autonomous job interview dialogue systems.
no code implementations • SIGDIAL (ACL) 2021 • Koji Inoue, Hiromi Sakamoto, Kenta Yamamoto, Divesh Lala, Tatsuya Kawahara
We demonstrate the moderating abilities of a multi-party attentive listening robot system when multiple people are speaking in turns.
no code implementations • 21 Feb 2024 • Haruki Kawai, Divesh Lala, Koji Inoue, Keiko Ochi, Tatsuya Kawahara
To this end, we propose a semi-autonomous system, where a remote operator can take control of an autonomous attentive listening system in real-time.
no code implementations • 20 Feb 2024 • Zi Haur Pang, Yahui Fu, Divesh Lala, Keiko Ochi, Koji Inoue, Tatsuya Kawahara
This study introduces the first framework designed to engender empathetic dialogue with validating responses.
no code implementations • 10 Jan 2024 • Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara, Gabriel Skantze
To address this issue, we propose a framework for indirectly but objectively evaluating systems based on users' behaviors.
no code implementations • 21 Aug 2023 • Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara, Gabriel Skantze
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user behaviors.
no code implementations • SIGDIAL (ACL) 2021 • Etsuko Ishii, Genta Indra Winata, Samuel Cahyawijaya, Divesh Lala, Tatsuya Kawahara, Pascale Fung
Over the past year, research in various domains, including Natural Language Processing (NLP), has been accelerated to fight against the COVID-19 pandemic, yet such research has just started on dialogue systems.
no code implementations • 2 May 2021 • Tatsuya Kawahara, Koji Inoue, Divesh Lala
It has also been evaluated with student subjects, showing promising results.
1 code implementation • ACL 2020 • Tianyu Zhao, Divesh Lala, Tatsuya Kawahara
Automatic dialogue response evaluator has been proposed as an alternative to automated metrics and human evaluation.
no code implementations • WS 2017 • Divesh Lala, Pierrick Milhorat, Koji Inoue, Masanari Ishida, Katsuya Takanashi, Tatsuya Kawahara
Second, we propose an effective statement response mechanism which detects focus words and responds in the form of a question or partial repeat.