Dialogue system with a supervised dialog manager
Автор: Yusupov I.F., Kuratov Y.M.
Журнал: Труды Московского физико-технического института @trudy-mipt
Рубрика: Информатика и управление
Статья в выпуске: 4 (48) т.12, 2020 года.
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We present bot#1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI). The bot is capable of conversing with humans about a given text (e.g., a paragraph from Wikipedia article). The conversation is enabled by a set of skills, including chit-chat, topic detection, text summarization, question answering and question generation. The system has been trained in a supervised setting to select an appropriate skill for generating a response. Our bot is implemented with open-source software and open data; it is self-hosted and employs a supervised dialog manager with a linear hierarchy. The latter allows a developer to focus on skill implementation rather than the finite state machine based dialog manager. Bot#1337 was a winner of the competition with an average dialogue quality score of 2.78 given by human evaluators. Source code and trained models for the bot#1337 are available on GitHub.
Dialogue systems, natural language processing, dialogue manager
Короткий адрес: https://sciup.org/142230090
IDR: 142230090