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VIZ-Wiki: Generating Visual Summaries to Factoid Threads in Community Question Answering Services

Authors:

Tanya Chowdhury,

Aashay Mittal,

Tanmoy ChakrabortyAuthors Info & Claims

WWW '18: Companion Proceedings of the The Web Conference 2018

Pages 231 - 234

https://doi.org/10.1145/3184558.3186986

Published: 23 April 2018 Publication History

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Abstract

In this demo, we present VIZ-Wiki, a browser extension which generates an overview of summarizable threads in Question Answering forums. It reduces a user's effort to go through lengthy text-based, sarcastic and highly critiqued answers. Our tool can be used to collect community opinion from popular discussion sites like Quora, Yahoo! Answers, Reddit etc. as well as topic-centric ones such as Askubuntu, Stackoverflow. We rely on textual information of these forums to extract insightful summaries for a reader. VIZ-Wiki provides users a pie-graph view marking popular choices when such a question link is raised. A button guides them to detailed statistics and relevant list of answers. It further highlights sentences relevant to an answer choice in the text. VIZ-Wiki deals with answers contradicted by other users, prioritizes highly-recommended ones and avoids sarcasm. We test our model on the factoid questions dataset of Yahoo! Answers and obtain a macro precision of 0.6 on displayed answers and a macro recall of 0.69, beating the baseline significantly. To the best of our knowledge, VIZ-Wiki is the first attempt to visualize answers for questions in community question answering services. In the spirit of reproducibility, we have released the code and a demonstration video public at \urlhttp://goo.gl/cyx3EF and \urlhttps://youtu.be/XNmRa_jtmC8 respectively

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Cited By

View all

Thukral DPandey AGupta RGoyal VChakraborty T(2019)DiffQueACM Transactions on Intelligent Systems and Technology10.1145/333779910:4(1-27)Online publication date: 24-Jul-2019
https://dl.acm.org/doi/10.1145/3337799
Chowdhury TChakraborty TDey LChaudhury SKrishnapuram RSingla PRoy R(2019)CQASUMMProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297004(18-26)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1145/3297001.3297004

Index Terms

VIZ-Wiki: Generating Visual Summaries to Factoid Threads in Community Question Answering Services
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval tasks and goals
      1. Information extraction

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Information & Contributors

Information

Published In

WWW '18: Companion Proceedings of the The Web Conference 2018

April 2018

2023 pages

ISBN:9781450356404

General Chairs:
Pierre-Antoine Champin
Université Claude Bernard Lyon 1, France
,
Fabien Gandon
Inria, Université Côte d'Azur, CNRS, I3S, France
,
Lionel Médini
Université Claude Bernard Lyon 1, CNRS, LIRIS, France
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Panagiotis G. Ipeirotis
New York University, USA

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]

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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Demonstration

Funding Sources

Ramanujan Fellowship SERB DST India

Conference

WWW '18

Sponsor:

IW3C2

WWW '18: The Web Conference 2018

April 23 - 27, 2018

Lyon, France

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Cited By

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Thukral DPandey AGupta RGoyal VChakraborty T(2019)DiffQueACM Transactions on Intelligent Systems and Technology10.1145/333779910:4(1-27)Online publication date: 24-Jul-2019
https://dl.acm.org/doi/10.1145/3337799
Chowdhury TChakraborty TDey LChaudhury SKrishnapuram RSingla PRoy R(2019)CQASUMMProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297004(18-26)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1145/3297001.3297004

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