abstract

SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids

Authors:

Alessandro Moschitti,

Lluiís Márquez,

Eugene Agichtein,

Charles Clarke,

Idan SzpektorAuthors Info & Claims

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Pages 1251 - 1252

https://doi.org/10.1145/2911451.2917767

Published: 07 July 2016 Publication History

Abstract

Web search engines have made great progress at answering factoid queries. However, they are not well-tailored for managing more complex questions, especially when they require explanation and/or description. The WebQA workshop series aims at exploring diverse approaches to answering questions on the Web. This year, particular emphasis will be given to Community Question Answering (CQA), where comments by the users engaged in the forum communities can be used to answer new questions. Questions posted on the Web can be short and ambiguous (similarly to Web queries to a search engine). These issues make the WebQA task more challenging than traditional QA, and finding the most effective approaches for it remains an open problem.

Unlike the more formal conference format, the aim of this workshop is to bring together researchers in diverse areas working on this problem, including those from NLP, IR, social media and recommender systems communities. This workshop is specifically designed for the SIGIR audience. However, due to its format, its goal, as compared to the main conference, is to conduct a more focused and open discussion, encouraging the presentation of work in progress and late-breaking initial results in Web Question Answering. Both academic and industrial participation will be solicited, including keynotes and invited speakers.

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Cited By

Moro GValgimigli L(2021)Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID LiteratureSensors10.3390/s2119643021:19(6430)Online publication date: 26-Sep-2021
https://doi.org/10.3390/s21196430
NAKOV PMÀRQUEZ LMOSCHITTI AMUBARAK H(2018)Arabic community question answeringNatural Language Engineering10.1017/S135132491800042625:1(5-41)Online publication date: 19-Dec-2018
https://doi.org/10.1017/S1351324918000426

Index Terms

SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Question answering

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

July 2016

1296 pages

ISBN:9781450340694

DOI:10.1145/2911451

General Chairs:
Raffaele Perego
ISTI-CNR, Italy
,
Fabrizio Sebastiani
Qatar Computing Research Institute, HBKU, Qatar
,
Program Chairs:
Javed Aslam
Northeastern University, US
,
Ian Ruthven
University of Strathclyde, UK
,
Justin Zobel
University of Melbourne, Australia

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2016

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SIGIR '16

Sponsor:

SIGIR

SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval

July 17 - 21, 2016

Pisa, Italy

Acceptance Rates

SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;

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

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Cited By

Moro GValgimigli L(2021)Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID LiteratureSensors10.3390/s2119643021:19(6430)Online publication date: 26-Sep-2021
https://doi.org/10.3390/s21196430
NAKOV PMÀRQUEZ LMOSCHITTI AMUBARAK H(2018)Arabic community question answeringNatural Language Engineering10.1017/S135132491800042625:1(5-41)Online publication date: 19-Dec-2018
https://doi.org/10.1017/S1351324918000426

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