Zobrazeno 1 - 10
of 52
pro vyhledávání: '"dialogue simulator"'
Autor:
N.A Kozlovtseva, E.S Ovsij
Publikováno v:
AZIMUTH OF SCIENTIFIC RESEARCH: PEDAGOGY AND PSYCHOLOGY. 10
Publikováno v:
Naučno-Pedagogičeskoe Obozrenie, Iss 4, Pp 141-152 (2023)
Показано, что в современной ситуации развития системы образования необходимы новые способы оценивания, благоприятствующие реализации
Externí odkaz:
https://doaj.org/article/5a7ac584cb354d0db744aeb5103911b3
Autor:
William R. Wiltschko
Publikováno v:
IUI
Demonstration of a fielded web-based mixed-initiative emotional natural language dialogue simulator in a game-like computer interface for pedagogical purposes.
Conference
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Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems.
Publikováno v:
User Modeling & User-Adapted Interaction; Nov2024, Vol. 34 Issue 5, p1581-1611, 31p
Autor:
Sofya I. Dreytser
Publikováno v:
RUDN Journal of Informatization in Education, Vol 21, Iss 1, Pp 44-55 (2024)
Problem statement. Pedagogical technologies for the communication skills formation are constantly being improved, new methods and practices are emerging to solve this problem. The use of information technology to develop professional communication sk
Externí odkaz:
https://doaj.org/article/3fc9c52bbab2408cba7573225d99f1ea
Autor:
Wiltschko, William R.
Publikováno v:
Proceedings of the 7th International Conference: Intelligent User Interfaces; 1/13/2002, p241-241, 1p
Autor:
Acharya, Anish, Adhikari, Suranjit, Agarwal, Sanchit, Auvray, Vincent, Belgamwar, Nehal, Biswas, Arijit, Chandra, Shubhra, Chung, Tagyoung, Fazel-Zarandi, Maryam, Gabriel, Raefer, Gao, Shuyang, Goel, Rahul, Hakkani-Tur, Dilek, Jezabek, Jan, Jha, Abhay, Kao, Jiun-Yu, Krishnan, Prakash, Ku, Peter, Goyal, Anuj, Lin, Chien-Wei, Liu, Qing, Mandal, Arindam, Metallinou, Angeliki, Naik, Vishal, Pan, Yi, Paul, Shachi, Perera, Vittorio, Sethi, Abhishek, Shen, Minmin, Strom, Nikko, Wang, Eddie
Publikováno v:
NAACL 2021 System Demonstrations Track
Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Training each component requires annotations which are hard to obtain for
Externí odkaz:
http://arxiv.org/abs/2104.09088
Autor:
Kim, Jiho, Chay, Woosog, Hwang, Hyeonji, Kyung, Daeun, Chung, Hyunseung, Cho, Eunbyeol, Jo, Yohan, Choi, Edward
Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities of conversational agents, making them applicable to various fields (e.g., education). Despite their progress, the evaluation of the agents often overlook
Externí odkaz:
http://arxiv.org/abs/2406.13144
Conversational recommender systems (CRSs) aim to provide recommendation services via natural language conversations. Although a number of approaches have been proposed for developing capable CRSs, they typically rely on sufficient training data for t
Externí odkaz:
http://arxiv.org/abs/2306.02842