Article

Free access

The structure and performance of an open-domain question answering system

Authors:

Vasile RusAuthors Info & Claims

ACL '00: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics

Pages 563 - 570

https://doi.org/10.3115/1075218.1075289

Published: 03 October 2000 Publication History

PDF eReader

Abstract

This paper presents the architecture, operation and results obtained with the LASSO Question Answering system developed in the Natural Language Processing Laboratory at SMU. To find answers, the system relies on a combination of syntactic and semantic techniques. The search for the answer is based on a novel form of indexing called paragraph indexing. A score of 55.5% for short answers and 64.5% for long answers was achieved at the TREC-8 competition.

References

[1]

Chris Buckley, Mandar Mitra, Janet Walz and Claire Cardie. SMART Hight Precision: TREC 7. In the Proceedings of the Text Retrieval Conference TREC-7, 1998.

Google Scholar

[2]

Sanda Harabagiu and Steven Maiorano. Finding answers in large collections of texts: paragraph indexing + abductive inference. Working Notes of the Fall AAAI Symposium on Question Answering, November 1999.

Google Scholar

[3]

Jerry Hobbs, Mark Stickel, Doug Appelt, and Paul Martin. Interpretation as abduction. Artificial Intelligence, 63, pages 69--142, 1993.

Digital Library

Google Scholar

[4]

G. A. Miller. WordNet: A Lexical Database. Communication of the ACM, vol 38: Noll, pages 39--41, November 1995.

Digital Library

Google Scholar

[5]

Dan Moldovan, Sanda Harabagiu, Marius Pasca, Rada Mihalcea, Roxana Girju, Richard Goodrum and Vasile Rus LASSO: A Tool for Surfing the Answer Net In Proceedings of TREC-8, pages 65--74, 1999. http://trec.nist.gov/pubs/trec8/papers/smu.ps

Google Scholar

[6]

Dan Moldovan and Rada Mihalcea. Improving the search on the Internet by using WordNet and lexical operators In IEEE Internet Computing, vol.4, no.1, pages 34--43, 2000.

Digital Library

Google Scholar

[7]

Ellen M. Voorhees and Dawn M. Tice, The TREC-8 Question Answering Track Evaluation In Proceedings of TREC-8, pages 41--64, 1999. http://trec.nist.gov/pubs/trec8/papers/qa8.ps

Google Scholar

Cited By

View all

Garcia-Silva ABerrio CGomez-Perez JMartínez-Heras JDonati ARoma IAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)SpaceQAProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531697(3306-3311)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3531697
Ravva PUrlana AShrivastava MVarma VKambhampati SBhattacharya ANatarajan SRoy R(2020)AVADHANProceedings of the 7th ACM IKDD CoDS and 25th COMAD10.1145/3371158.3371193(234-238)Online publication date: 5-Jan-2020
https://dl.acm.org/doi/10.1145/3371158.3371193
Su LGuo JFan YLan YCheng XPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Controlling Risk of Web Question AnsweringProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331261(115-124)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331261
Show More Cited By

Recommendations

Neural Network Models for Tasks in Open-domain and Closed-domain Question Answering
Quality-aware collaborative question answering: methods and evaluation
WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining

Community Question Answering (QA) portals contain questions and answers contributed by hundreds of millions of users. These databases of questions and answers are of great value if they can be used directly to answer questions from any user. In this ...
Type checking in open-domain question answering
ECAI'04: Proceedings of the 16th European Conference on Artificial Intelligence

Open domain question answering (QA) systems have to bridge the potential vocabulary mismatch between a question and its candidate answers. One can view this as a recall problem and address it accordingly. Recall oriented strategies to QA may generate ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACL '00: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics

October 2000

598 pages

General Chair:
Hitoshi Iida

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 03 October 2000

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 85 of 443 submissions, 19%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

37
Total Citations
View Citations
1,146
Total Downloads

Downloads (Last 12 months)87
Downloads (Last 6 weeks)35

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Garcia-Silva ABerrio CGomez-Perez JMartínez-Heras JDonati ARoma IAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)SpaceQAProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531697(3306-3311)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3531697
Ravva PUrlana AShrivastava MVarma VKambhampati SBhattacharya ANatarajan SRoy R(2020)AVADHANProceedings of the 7th ACM IKDD CoDS and 25th COMAD10.1145/3371158.3371193(234-238)Online publication date: 5-Jan-2020
https://dl.acm.org/doi/10.1145/3371158.3371193
Su LGuo JFan YLan YCheng XPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Controlling Risk of Web Question AnsweringProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331261(115-124)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331261
Alzetta CAdorni GCelik IKoceva FTorre IMitrovic TZhang JChen LChin D(2018)Toward a User-Adapted Question/Answering Educational ApproachAdjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3213586.3226214(173-177)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3213586.3226214
Paredes-Valverde MValencia-García RRodríguez-García MColomo-Palacios RAlor-Hernández G(2016)A semantic-based approach for querying linked data using natural languageJournal of Information Science10.1177/016555151561631142:6(851-862)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1177/0165551515616311
Mishra AJain S(2016)A survey on question answering systems with classificationJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2014.10.00728:3(345-361)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.jksuci.2014.10.007
Paredes-Valverde MRodríguez-García MRuiz-Martínez AValencia-García RAlor-Hernández G(2015)ONLIExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.02.03442:12(5163-5176)Online publication date: 15-Jul-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.02.034
Chaturvedi SCastelli VFlorian RNallapati RRaghavan HChung CBroder AShim KSuel T(2014)Joint question clustering and relevance prediction for open domain non-factoid question answeringProceedings of the 23rd international conference on World wide web10.1145/2566486.2567999(503-514)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2566486.2567999
Rodrigo ÁPéRez-Iglesias JPeñAs AGarrido GAraujo L(2013)Answering questions about European legislationExpert Systems with Applications: An International Journal10.1016/j.eswa.2013.05.00840:15(5811-5816)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1016/j.eswa.2013.05.008
Boyd-Graber JSatinoff BHe HDaumé HTsujii JHenderson JPasca M(2012)Besting the quiz masterProceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning10.5555/2390948.2391094(1290-1301)Online publication date: 12-Jul-2012
https://dl.acm.org/doi/10.5555/2390948.2391094
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Recommendations

Neural Network Models for Tasks in Open-domain and Closed-domain Question Answering

Quality-aware collaborative question answering: methods and evaluation

Type checking in open-domain question answering

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations