Article

Evaluating discourse-based answer extraction for why-question answering

Authors:

Suzan Verberne,

Lou Boves,

Nelleke Oostdijk,

Peter-Arno CoppenAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 735 - 736

https://doi.org/10.1145/1277741.1277883

Published: 23 July 2007 Publication History

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Abstract

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References

[1]

L. Carlson, D. Marcu, and M. E. Okurowski. Building a discourse-tagged corpus in the framework of rhetorical structure theory. In J. van Kuppevelt and R. Smith, editors, Current Directions in Discourse and Dialogue, pages 85--112. Kluwer Academic Publishers, 2003.

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[2]

W. Croft and J. Lafferty. Language Modeling for Information Retrieval. Kluwer Academic Publishers, Norwell, MA, USA, 2003.

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[3]

E. Hovy, U. Hermjakob, and D. Ravichandran. A question/answer typology with surface text patterns. In Proceedings of the Human Language Technology conference (HLT), San Diego, CA, 2002.

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[4]

S. Verberne, L. Boves, N. Oostdijk, and P. Coppen. Discourse-based answering of why-questions. 2007. Accepted for Traitement Automatique des Langues, special issue on Computational Approaches to Discourse and Document Processing.

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Li JZhao TYang QDu SXu L(2024)A review of quantitative structure-activity relationship: the development and current status of data sets, molecular descriptors and mathematical modelsChemometrics and Intelligent Laboratory Systems10.1016/j.chemolab.2024.105278(105278)Online publication date: Nov-2024
https://doi.org/10.1016/j.chemolab.2024.105278
Djiroun RGuessoum MBoukhalfa KBenkhelifa E(2024)Natural language why-question answering system in business intelligence contextCluster Computing10.1007/s10586-024-04327-4Online publication date: 16-May-2024
https://doi.org/10.1007/s10586-024-04327-4
Tokala YAluru SVallabhajosyula ASanyal DDas P(2023)Label informed hierarchical transformers for sequential sentence classification in scientific abstractsExpert Systems10.1111/exsy.1323840:6Online publication date: 25-Jan-2023
https://doi.org/10.1111/exsy.13238
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Index Terms

Evaluating discourse-based answer extraction for why-question answering
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Li JZhao TYang QDu SXu L(2024)A review of quantitative structure-activity relationship: the development and current status of data sets, molecular descriptors and mathematical modelsChemometrics and Intelligent Laboratory Systems10.1016/j.chemolab.2024.105278(105278)Online publication date: Nov-2024
https://doi.org/10.1016/j.chemolab.2024.105278
Djiroun RGuessoum MBoukhalfa KBenkhelifa E(2024)Natural language why-question answering system in business intelligence contextCluster Computing10.1007/s10586-024-04327-4Online publication date: 16-May-2024
https://doi.org/10.1007/s10586-024-04327-4
Tokala YAluru SVallabhajosyula ASanyal DDas P(2023)Label informed hierarchical transformers for sequential sentence classification in scientific abstractsExpert Systems10.1111/exsy.1323840:6Online publication date: 25-Jan-2023
https://doi.org/10.1111/exsy.13238
Nishida NMatsumoto Y(2022)Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and LimitationTransactions of the Association for Computational Linguistics10.1162/tacl_a_0045110(127-144)Online publication date: 9-Feb-2022
https://doi.org/10.1162/tacl_a_00451
Li JLiu MQin BLiu T(2022)A survey of discourse parsingFrontiers of Computer Science10.1007/s11704-021-0500-z16:5Online publication date: 20-Jan-2022
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Nguyen CNguyen D(2021)Building a Discourse-Argument Hybrid System for Vietnamese Why-Question AnsweringComputational Intelligence and Neuroscience10.1155/2021/65508712021(1-16)Online publication date: 28-Dec-2021
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Breja MJain S(2021)A survey on non-factoid question answering systemsInternational Journal of Computers and Applications10.1080/1206212X.2021.194911744:9(830-837)Online publication date: 12-Jul-2021
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Eka Karyawati ARahning Putri L(2018)Two-Step Ranking Document Using the Ontology-Based Causality Detection2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)10.1109/ICITACEE.2018.8576913(287-292)Online publication date: Sep-2018
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Toldova SKobozeva MPisarevskaya D(2018)Automatic Mining of Discourse Connectives for RussianArtificial Intelligence and Natural Language10.1007/978-3-030-01204-5_8(79-87)Online publication date: 27-Sep-2018
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Research on Answer Extraction Method for Domain Question Answering System(QA)

Question Answering System Based on Web

Using answer retrieval patterns to answer Portuguese questions

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