Multilingual Question Answering using Lexico-Syntactic Patterns

Tracking #: 2174-3387

This paper is currently under review
Authors: 
Nikolay Radoev
Amal Zouaq1
Michel Gagnon

Responsible editor: 
Philipp Cimiano

Submission type: 
Full Paper
Abstract: 
Continued work on existing knowledge bases (KBs) has given acces to a large amount of structured data. However, most of the existing QA systems using those KBs are designed to handle questions in a single language (mostly English) and those that handle multiple languages have a rather generic approach, leading to reduced overall performance. We present a different method for transforming natural language questions into SPARQL queries. Our method focuses on leveraging the syntactic information of questions to generate one or multiple SPARQL triples. We present a QA system aimed at multilingual query processing and describe a set of lexico-syntactic patterns used to generate the SPARQL queries. Our evaluation was done by applying the described patterns on our QA system over DBpedia and measure the impact on the overall performance.
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Under Review