The Intelligence in Wikipedia project at the University of Washington is combining self-supervised information extraction (IE) techniques with a mixed initiative interface designed to encourage communal content creation (CCC). Since IE and CCC are each powerful ways to produce large amounts of structured information, they have been studied extensively - but only in isolation. By combining the two methods in a virtuous feedback cycle, we aim for substantial synergy. While previous papers have described the details of individual aspects of our endeavor 25, 26, 24, 13, this report provides an overview of the project's progress and vision.
%0 Conference Paper
%1 Weld08intelligenceWikipedia
%A Weld, Daniel S.
%A Wu, Fei
%A Adar, Eytan
%A Amershi, Saleema
%A Fogarty, James
%A Hoffmann, Raphael
%A Patel, Kayur
%A Skinner, Michael
%B AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence
%D 2008
%I AAAI Press
%K 08 Weld extraction information intelligence wikipedia
%P 1609--1614
%T Intelligence in wikipedia
%U http://portal.acm.org/citation.cfm?id=1620344
%X The Intelligence in Wikipedia project at the University of Washington is combining self-supervised information extraction (IE) techniques with a mixed initiative interface designed to encourage communal content creation (CCC). Since IE and CCC are each powerful ways to produce large amounts of structured information, they have been studied extensively - but only in isolation. By combining the two methods in a virtuous feedback cycle, we aim for substantial synergy. While previous papers have described the details of individual aspects of our endeavor 25, 26, 24, 13, this report provides an overview of the project's progress and vision.
%@ 978-1-57735-368-3
@inproceedings{Weld08intelligenceWikipedia,
abstract = {The Intelligence in Wikipedia project at the University of Washington is combining self-supervised information extraction (IE) techniques with a mixed initiative interface designed to encourage communal content creation (CCC). Since IE and CCC are each powerful ways to produce large amounts of structured information, they have been studied extensively - but only in isolation. By combining the two methods in a virtuous feedback cycle, we aim for substantial synergy. While previous papers have described the details of individual aspects of our endeavor [25, 26, 24, 13], this report provides an overview of the project's progress and vision.},
added-at = {2010-02-09T03:54:16.000+0100},
author = {Weld, Daniel S. and Wu, Fei and Adar, Eytan and Amershi, Saleema and Fogarty, James and Hoffmann, Raphael and Patel, Kayur and Skinner, Michael},
biburl = {https://www.bibsonomy.org/bibtex/2f6fcfcfd416c33369141b7ae491da9ef/lee_peck},
booktitle = {AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence},
description = {Intelligence in wikipedia},
interhash = {62ad3e8a88de7d16c8d100c3cbdb8d78},
intrahash = {f6fcfcfd416c33369141b7ae491da9ef},
isbn = {978-1-57735-368-3},
keywords = {08 Weld extraction information intelligence wikipedia},
location = {Chicago, Illinois},
pages = {1609--1614},
publisher = {AAAI Press},
timestamp = {2010-02-09T03:54:16.000+0100},
title = {Intelligence in wikipedia},
url = {http://portal.acm.org/citation.cfm?id=1620344},
year = 2008
}