Entailment-based question answering for structured data

Authors:
Bogdan Sacaleanu;Constantin Orasan;Christian Spurk;Shiyan Ou;Oscar Ferrandez;Milen Kouylekov;Matteo Negri
Affiliations:
LT-Lab, DFKI GmbH / Saarbrücken, Germany;University of Wolverhampton / Wolverhampton, UK;LT-Lab, DFKI GmbH / Saarbrücken, Germany;University of Wolverhampton / Wolverhampton, UK;University of Alicante / Alicante, Spain;Fondazione Bruno Kessler (FBK) / Trento, Italy;Fondazione Bruno Kessler (FBK) / Trento, Italy
Venue:
COLING '08 22nd International Conference on on Computational Linguistics: Demonstration Papers
Year:
2008

Citing 1
Cited 1

Towards a theory of natural language interfaces to databases

Proceedings of the 8th international conference on Intelligent user interfaces

QALL-ME needs AIR: a portability study

AdaptLRTtoND '09 Proceedings of the Workshop on Adaptation of Language Resources and Technology to New Domains

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a Question Answering system which retrieves answers from structured data regarding cinemas and movies. The system represents the first prototype of a multilingual and multimodal QA system for the domain of tourism. Based on specially designed domain ontology and using Textual Entailment as a means for semantic inference, the system can be used in both monolingual and cross-language settings with slight adjustments for new input languages.