Abstract
This paper describes a dialog based QA system, Dialog Navigator, which can answer questions based on large text knowledge base. In real world QA systems, vagueness of questions is a big problem. Our system can navigate users to the desired answers using the following meth-ods: asking users back with dialog cards, and description extraction of each retrieved text. Another feature of the system is that it re-trieves relevant texts precisely, using question types, synonymous expression dictionary, and modifier-head relations in Japanese sentences.
Cite
CITATION STYLE
KIYOTA, Y., KUROHASHI, S., & KIDO, F. (2003). Dialog Navigator: A Question Answering System based on Large Text Knowledge Base. Journal of Natural Language Processing, 10(4), 145–175. https://doi.org/10.5715/jnlp.10.4_145
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.