Abstract
We present bot#1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI). The aim of the competition was to implement a bot capable of conversing with humans based on a given passage of text. To enable conversation, we implemented a set of skills for our bot, including chit-chat, topic detection, text summarization, question answering and question generation. The system has been trained in a supervised setting using a dialogue manager to select an appropriate skill for generating a response. The latter allows a developer to focus on the skill implementation rather than the finite state machine based dialog manager. The proposed system bot#1337 won the competition with an average dialogue quality score of 2.78 out of 5 given by human evaluators. Source code and trained models for the bot#1337 are available on GitHub.- Anthology ID:
- C18-1312
- Volume:
- Proceedings of the 27th International Conference on Computational Linguistics
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico, USA
- Editors:
- Emily M. Bender, Leon Derczynski, Pierre Isabelle
- Venue:
- COLING
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3681–3692
- Language:
- URL:
- https://aclanthology.org/C18-1312
- DOI:
- Cite (ACL):
- Idris Yusupov and Yurii Kuratov. 2018. NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager. In Proceedings of the 27th International Conference on Computational Linguistics, pages 3681–3692, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager (Yusupov & Kuratov, COLING 2018)
- PDF:
- https://preview.aclanthology.org/naacl24-info/C18-1312.pdf
- Code
- sld/convai-bot-1337
- Data
- SQuAD