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Conference Papers Year : 2015

Answering N-Relation Natural Language Questions in the Commercial Domain

Abstract

This paper presents SynchroBot, a Natural Language Question Answering system in the Commercial Domain. It relies on an RDF dataset and an RDFS ontology that we have developed for the commercial domain of the mobile phone industry. We propose an approach to understand and interpret natural language questions, based on the use of regular expressions to identify both the properties connecting entities, and their values. These regex are automatically learned from a subset of our dataset with a genetic algorithm.
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Dates and versions

hal-01187413 , version 1 (27-07-2016)

Identifiers

  • HAL Id : hal-01187413 , version 1

Cite

Elena Cabrio, Catherine Faron Zucker, Fabien Gandon, Amine Hallili, Andrea G. B. Tettamanzi. Answering N-Relation Natural Language Questions in the Commercial Domain. The IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2015, Singapore, Singapore. ⟨hal-01187413⟩
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