Natural Language Access to Data: It Takes Common Sense!

Citation

Condoravdi, C.; Richardson, K.; Sikka, V.; Suenbuel, A.; and Waldinger, R. Natural Language Access to Data: It Takes Common Sense!, in Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning, Association for the Advancement of Artificial Intelligence, Mar 2015.

Abstract

Commonsense reasoning proves to be an essential tool for natural-language access to data. In a deductive approach to this problem, language processing technology translates English queries into a first-order logical form, which is regarded as a conjecture to be established by a theorem prover. Subject domain knowledge is encoded in an axiomatic theory equipped with links to appropriate databases. Commonsense reasoning is necessary to disambiguate the query, to connect the query with relevant tables in the databases, to deal with logical relationships in the query, and to achieve interoperability between disparate databases. This is illustrated with examples from the Quest system, which deals with queries over business enterprise data.

↓ Review online

Read more from SRI

  • An arid, rural Nevada landscape

    Can AI help us find valuable minerals?

    SRI’s machine learning-based geospatial analytics platform, already adopted by the USGS, is poised to make waves in the mining industry.

  • Two students in a computer lab

    Building a lab-to-market pipeline for education

    The SRI-led LEARN Network demonstrates how we can get the best evidence-based educational programs to classrooms and students.

  • Code reflected in a man's eyeglasses

    LLM risks from A to Z

    A new paper from SRI and Brazil’s Instituto Eldorado delivers a comprehensive update on the security risks to large language models.