Difference between revisions of "The Qualim Question Answering Demo: Supplementing Answers with Paragraphs Drawn from Wikipedia"
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+ | {{Infobox work | ||
+ | | title = The Qualim Question Answering Demo: Supplementing Answers with Paragraphs Drawn from Wikipedia | ||
+ | | date = 2008 | ||
+ | | authors = [[Michael Kaisser]] | ||
+ | | doi = 10.3115/1564144.1564153 | ||
+ | | link = https://dl.acm.org/citation.cfm?doid=1564144.1564153 | ||
+ | }} | ||
'''The Qualim Question Answering Demo: Supplementing Answers with Paragraphs Drawn from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Michael Kaisser]]. | '''The Qualim Question Answering Demo: Supplementing Answers with Paragraphs Drawn from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Michael Kaisser]]. | ||
== Overview == | == Overview == | ||
This paper describes the online demo of the QuALiM Question Answering system. While the system actually gets answers from the web by querying major search engines, during presentation answers are supplemented with relevant passages from [[Wikipedia]]. Authors believe that this additional information improves a user's search experience. | This paper describes the online demo of the QuALiM Question Answering system. While the system actually gets answers from the web by querying major search engines, during presentation answers are supplemented with relevant passages from [[Wikipedia]]. Authors believe that this additional information improves a user's search experience. |
Revision as of 12:01, 23 January 2020
Authors | Michael Kaisser |
---|---|
Publication date | 2008 |
DOI | 10.3115/1564144.1564153 |
Links | Original |
The Qualim Question Answering Demo: Supplementing Answers with Paragraphs Drawn from Wikipedia - scientific work related to Wikipedia quality published in 2008, written by Michael Kaisser.
Overview
This paper describes the online demo of the QuALiM Question Answering system. While the system actually gets answers from the web by querying major search engines, during presentation answers are supplemented with relevant passages from Wikipedia. Authors believe that this additional information improves a user's search experience.