Qme!: a speech-based question-answering system on mobile devices
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Speech-driven access to the deep web on mobile devices
ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations
From symbolic to sub-symbolic information in question classification
Artificial Intelligence Review
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CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Automatic system for identifying and categorizing temporal relations in natural language
International Journal of Intelligent Systems
Formal verification of temporal questions in the context of query-answering text summarization
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Finding salient dates for building thematic timelines
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Information Processing and Management: an International Journal
Identifying implicit relationships
IBM Journal of Research and Development
Information Retrieval for Temporal Bounding
Proceedings of the 2013 Conference on the Theory of Information Retrieval
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This paper presents a multilayered architecture that enhances the capabilities of current QA systems and allows different types of complex questions or queries to be processed. The answers to these questions need to be gathered from factual information scattered throughout different documents. Specifically, we designed a specialized layer to process the different types of temporal questions. Complex temporal questions are first decomposed into simple questions, according to the temporal relations expressed in the original question. In the same way, the answers to the resulting simple questions are recomposed, fulfilling the temporal restrictions of the original complex question. A novel aspect of this approach resides in the decomposition which uses a minimal quantity of resources, with the final aim of obtaining a portable platform that is easily extensible to other languages. In this paper we also present a methodology for evaluation of the decomposition of the questions as well as the ability of the implemented temporal layer to perform at a multilingual level. The temporal layer was first performed for English, then evaluated and compared with: a) a general purpose QA system (F-measure 65.47% for QA plus English temporal layer vs. 38.01% for the general QA system), and b) a well-known QA system. Much better results were obtained for temporal questions with the multilayered system. This system was therefore extended to Spanish and very good results were again obtained in the evaluation (F-measure 40.36% for QA plus Spanish temporal layer vs. 22.94% for the general QA system).