Skeletons in the parser: using a shallow parser to improve deep parsing
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Two diverse systems built using generic components for spoken dialogue: (recent progress on TRIPS)
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Olympus: an open-source framework for conversational spoken language interface research
NAACL-HLT-Dialog '07 Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
Reengineering a domain-independent framework for spoken dialogue systems
SETQA-NLP '08 Software Engineering, Testing, and Quality Assurance for Natural Language Processing
| Hi-index | 0.00 |
This paper presents a new approach to parse multiple data types in Dialogue Systems. In its initial version, our spoken dialogue systems platform had a single and generic parser. However, when developing two new systems, the parser's complexity increased and data types, like numbers, dates and free text messages, were not correctly interpreted. The solution we present to cope with these problems allows the system to rely on expectations about the flow of the dialogue based on the dialogue history and context. Because these expectations guide the parsing process, a positive impact is achieved in the recognition of objects in the user's utterance. However, if the user fails to match the system's expectations, for instance by changing the focus of the conversation, the system is still capable of understanding the input and recognizing the referred objects.