Natural Pause Generation in Conversations by Psychologically Plausible Natural Language Processing
Project/Area Number |
18K18504
|
Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
|
Allocation Type | Multi-year Fund |
Review Section |
Medium-sized Section 2:Literature, linguistics, and related fields
|
Research Institution | Shizuoka University |
Principal Investigator |
|
Project Period (FY) |
2018-06-29 – 2021-03-31
|
Project Status |
Completed (Fiscal Year 2020)
|
Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2020: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2019: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 自然言語処理 / 間 / 生成 / 話し言葉処理 / 対話システム |
Outline of Final Research Achievements |
By adopting a model closer to humans, we aim to generate a natural pause like a humans, and the interrupt/backchannel timing during conversations. We further aim to apply such a spoken language processing to dialogue systems. We recorded a spoken language corpus, then trascribed and assigned annotations of backchannel/interrupt timing, etc. We constructed an inference system using these annotations based on speech and linguistic features. We built a dialogue system and implemented an agent which participates in the natural language division of the annual AI Werewolf Contest, where agents automatically play the conversation game "Mafia".
|
Academic Significance and Societal Importance of the Research Achievements |
統計的手法の隆盛により、既存の自然言語処理研究のほとんどは大規模データを取集しやすい書き言葉を前提に研究がおこなわれている。そのために話し言葉の処理性能は未だ不十分なのが現状である。また、人間の言語処理は話し言葉を基盤としている可能性が高く、書き言葉の処理においても話し言葉の処理が有用な可能性があり、「間」をはじめとする音声的な要素も取り込んだシステム構築は、自然言語処理全般に資すると共に、人間の言語処理メカニズムの解明にもつながるものである。
|
Report
(4 results)
Research Products
(22 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
[Presentation] Overview of AIWolfDial 2019 Shared Task: Contest of Automatic Dialog Agents to Play the Werewolf Game through Conversations2019
Author(s)
Yoshinobu Kano, Claus Aranha, Michimasa Inaba, Fujio Toriumi, Hirotaka Osawa, Daisuke Katagami, Takashi Otsuki, Issei Tsunoda, Shoji Nagayama, Dolca Tellols, Yu Sugawara and Yohei Nakata
Organizer
The 1st International Workshop of AI Werewolf and Dialog System (AIWolfDial2019), INLG 2019 conference
Related Report
Int'l Joint Research
-
-
-
-
-
-
-
-
-