- Tytuł:
- Goal - oriented conversational bot for employment domain
- Autorzy:
-
Drozda, Paweł
Żmijewski, Tomasz
Osowski, Maciej
Krasnodębska, Aleksandra
Talun, Arkadiusz - Powiązania:
- https://bibliotekanauki.pl/articles/22615524.pdf
- Data publikacji:
- 2023
- Wydawca:
- Uniwersytet Warmińsko-Mazurski w Olsztynie
- Tematy:
-
chatbot
Deep Q Network
DQN
goal
oriented bot
Natural Language Processing
NLP - Opis:
- This paper focuses of the implementation of the goal – oriented chatbot in order to prepare virtual resumes of candidates for job position. In particular the study was devoted to testing the feasibility of using Deep Q Networks (DQN) to prepare an effective chatbot conversation flow with the final system user. The results of the research confirmed that the use of the DQN model in the training of the conversational system allowed to increase the level of success, measured as the acceptance of the resume by the recruiter and the finalization of the conversation with the bot. The success rate increased from 10% to 64% in experimental environment and from 15% to 45% in production environment. Moreover, DQN model allowed the conversation to be shortened by an average of 4 questions from 11 to 7.
- Źródło:
-
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2023, 26(1); 111--123
1505-4675
2083-4527 - Pojawia się w:
- Technical Sciences / University of Warmia and Mazury in Olsztyn
- Dostawca treści:
- Biblioteka Nauki
Artykuł