Abstract
With the increasing number of communication platforms that offer variety of ways of connecting two interlocutors, there is a resurgence of chat-based dialog systems. These systems, typically known as chatbots have been successfully applied in a range of consumer and enterprise applications. A key technology in such chat-bots is robust natural language understanding (NLU) which can significantly influence and impact the efficacy of the conversation and ultimately the user-experience. While NLU is far from perfect, this paper illustrates the role of underspecification and its impact on successful dialog completion.- Anthology ID:
- R17-1023
- Volume:
- Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna, Bulgaria
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 164–170
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_023
- DOI:
- 10.26615/978-954-452-049-6_023
- Cite (ACL):
- John Chen and Srinivas Bangalore. 2017. Underspecification in Natural Language Understanding for Dialog Automation. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 164–170, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Underspecification in Natural Language Understanding for Dialog Automation (Chen & Bangalore, RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_023