QUASL: A Framework for Question Answering and its Application to Business Intelligence
Question Answering (Q&A) from structured data is a technique that may revolutionize enterprise search. A very promising use-case for such technology is Business Intelligence (BI). In order to make BI more accessible to end-users, some efforts have been made in the field of search for existing reports. However, the problem of converting an end-user’s natural language input to a valid structured query in an ad-hoc fashion hasn’t been sufficiently solved yet. In this paper, the authors present a framework for Q&A systems that operate on structured data. The main innovation is that the framework allows defining a mapping between recognized semantics of a user’s questions to a structured query model that can be executed on arbitrary data sources.
Subscribe to the Data Insider Newsletter
Learn the latest news and best practices about data science, big data analytics, artificial intelligence, data security, and more. Delivered Mondays and Thursdays