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Splitting complex temporal questions for question answering systems

Authors:

E. Saquete,

P. Martínez-Barco,

R. Muñoz,

J. L. VicedoAuthors Info & Claims

ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Pages 566 - es

https://doi.org/10.3115/1218955.1219027

Published: 21 July 2004 Publication History

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Abstract

This paper presents a multi-layered Question Answering (Q.A.) architecture suitable for enhancing current Q.A. capabilities with the possibility of processing complex questions. That is, questions whose answer needs to be gathered from pieces of factual information scattered in different documents. Specifically, we have designed a layer oriented to process the different types of temporal questions. Complex temporal questions are first decomposed into simpler ones, according to the temporal relationships expressed in the original question.In the same way, the answers of each simple question are re-composed, fulfilling the temporal restrictions of the original complex question.Using this architecture, a Temporal Q.A. system has been developed.In this paper, we focus on explaining the first part of the process: the decomposition of the complex questions. Furthermore, it has been evaluated with the TERQAS question corpus of 112 temporal questions. For the task of question splitting our system has performed, in terms of precision and recall, 85% and 71%, respectively.

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Cambazoglu BTavakoli LScholer FSanderson MCroft BScholer FThomas PElsweiler DJoho HKando NSmith C(2021)An Intent Taxonomy for Questions Asked in Web SearchProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446027(85-94)Online publication date: 14-Mar-2021
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Yang ZLi YCai JNyberg EGeva STrotman ABruza PClarke CJärvelin K(2014)QUADSProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609606(375-384)Online publication date: 3-Jul-2014
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ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

July 2004

729 pages

General Chair:
Donia Scott
ITRI, University of Brighton

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Association for Computational Linguistics

United States

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Published: 21 July 2004

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Cambazoglu BTavakoli LScholer FSanderson MCroft BScholer FThomas PElsweiler DJoho HKando NSmith C(2021)An Intent Taxonomy for Questions Asked in Web SearchProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446027(85-94)Online publication date: 14-Mar-2021
https://dl.acm.org/doi/10.1145/3406522.3446027
Yang ZLi YCai JNyberg EGeva STrotman ABruza PClarke CJärvelin K(2014)QUADSProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609606(375-384)Online publication date: 3-Jul-2014
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Kalyanpur APatwardhan SBoguraev BChu-Carroll JLally ADaelemans W(2012)Parallel and nested decomposition for factoid questionsProceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics10.5555/2380816.2380920(851-860)Online publication date: 23-Apr-2012
https://dl.acm.org/doi/10.5555/2380816.2380920
Mostafazadeh NBakhshandeh Babarsad OGhassem-Sani G(2012)Formal verification of temporal questions in the context of query-answering text summarizationProceedings of the 25th Canadian conference on Advances in Artificial Intelligence10.1007/978-3-642-30353-1_35(350-355)Online publication date: 28-May-2012
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Battistelli DCori MMinel JTeissèdre C(2011)Semantics of calendar adverbials for information retrievalProceedings of the 19th international conference on Foundations of intelligent systems10.5555/2029759.2029840(622-631)Online publication date: 28-Jun-2011
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Kalyanpur APatwardhan SBoguraev BLally AChu-Carroll J(2011)Fact-based question decomposition for candidate answer re-rankingProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063886(2045-2048)Online publication date: 24-Oct-2011
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Saquete EFerrández OFerrández SMartínez-Barco PMuñoz R(2008)Combining automatic acquisition of knowledge with machine learning approaches for multilingual temporal recognition and normalizationInformation Sciences: an International Journal10.1016/j.ins.2008.05.002178:17(3319-3332)Online publication date: 1-Sep-2008
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Schockaert SDe Cock M(2008)Temporal reasoning about fuzzy intervalsArtificial Intelligence10.1016/j.artint.2008.01.001172:8-9(1158-1193)Online publication date: 1-May-2008
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Paşca MLaender AFalcão AOlsen ØSilva MBaeza-Yates RMcGuinness DOlstad B(2007)Lightweight web-based fact repositories for textual question answeringProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321455(87-96)Online publication date: 6-Nov-2007
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Evaluating Temporal Information Understanding with Temporal Question Answering

An improving reasoning network for complex question answering over temporal knowledge graphs

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