AAAI-2010 Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence
From WikiAI-10
The goal of this workshop is to foster the research and dissemination of ideas on the mutually beneficial interaction between repositories of user-contributed knowledge and AI.
Until recently, the AI and in particular the NLP community have relied on resources built manually by experts in specific areas (in particular linguists, philosophers, cognitive linguists). User contributed knowledge has opened up a new perspective, in that it captures the kind of knowledge and organization that arises naturally out of the consensus of the masses, and as such represents better our collective knowledge. The outcome is a multi-faceted and extremely rich source of information, revealed through embedded annotations and structural information.
The first such collaboratively developed repository of information to be extensively used in AI and NLP was Wikipedia. Its usefulness was demonstrated through its contributions to a wide range of tasks: text categorization, clustering, word sense disambiguation, information retrieval, information extraction, question answering. The following bibliographies include relevant papers published at established conferences in the area of NLP and AI (ACL, EACL, NAACL, EMNLP, AAAI, SIGIR, IUI and other venues):
In recent years, more and more resources and collaborative endeavours have started to be incorporated and exploited as knowledge repositories for various tasks. Tags associated with images in Flickr, question-answer collections in Yahoo! Answers are a few examples of such information sources. Amazon's Mechanical Turk gives researchers access to "human computation" power, and is being used more and more as a solution to the difficult problems of large scale evaluations and data annotation, both crucial for the continuous development of the AI and NLP fields.
The workshop is a successor to the ones organized at AAAI 2008 entitled "Wikipedia and Artificial Intelligence: An Evolving Synergy" (WikiAI 08) and at IJCAI 2009 entitled "User contributed knowledge and Artificial Intelligence: An Evolving Synergy" (WikiAI09). We follow the trend started in 2009 of keeping the scope of the workshop broad, to include a variety of user-contributed sources of knowledge: Wikipedia, Wiktionary, Wiki Answers, Yahoo! Answers, Flickr, Freebase, Amazon's Mechanical Turk, blogs, and more.
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Call For Papers
AI and NLP have the potential to both exploit and dig deeper in the mines of collective knowledge, and to help build them, by providing tools for helping generate more, better and consistent content. As with the previous events, we believe work in this area should be encouraged, followed and popularized, to promote the synergy between repositories of user-contributed knowledge and research in Artificial Intelligence.
The workshop is intended to be highly interdisciplinary. We encourage participation of researchers from different perspectives, including (but not limited to) machine learning, computational linguistics, information retrieval, information extraction, question answering, knowledge representation, human computer interaction and others. We also encourage participation of researchers from other areas who might benefit from the use of large bodies of machine-readable knowledge.
An upcoming special issue of the Artificial Intelligence Journal will be devoted to the topic of Artificial Intelligence, Wikipedia, and Semi-Structured Resources.
Topics
Topics covered by this workshop include, but are not limited to:
- Using user-contributed knowledge as a source of training data for AI tasks (both supervised and unsupervised)
- Automatic methods for improving the quality of user contributions
- Modeling tasks for human computation
- Integrating different resources (e.g. Wikipedia and WN/Cyc/other ontologies)
- Extracting annotated data from user contributions
- Enriching user contributions with new types of structural information
- User-contributed knowledge and the Semantic Web/Web 2.0
- Automatic extraction and use of cross-lingual information
- Computerized use of satellite Wiki projects such as Wiktionary, Wikibooks or Wikispecies
- Human computation like Amazon Mechanical Turk to help AI tasks
- Data mining on collaboratively-contributed resources
- Innovative graph algorithms exploiting collaborative resources
- Word Sense Disambiguation with Wikipedia, Wiktionary, etc.
Important Dates
Submission deadline: March 29th 2010
Notification date: April 15th 2010
Camera-ready deadline: April 30th 2010
Workshop date: July 11th or 12th 2010
Submission Instructions
The review process is not double-blinded. Submissions should be regular full papers (up to 6 pages), short papers reporting on late-breaking results (up to 3 pages), and descriptions of system demonstrations (up to 1 page).
As opposed to papers (both long and short) which should have original content compared to the authors' current publications, we accept previously presented systems if they are particularly relevant to the workshop's topic.
Please refer to the AAAI author instruction page for the templates.
Paper electronic submission via EasyChair here.
Organizers
- Vivi Nastase, EML Research
- Roberto Navigli, Sapienza Universita' di Roma
- Fei Wu, University of Washington
Program Committee
(In alphabetical order)
- Eneko Agirre -- University of the Basque Country
- Razvan Bunescu -- University of Ohio
- Yee Seng Chan -- University of Illinois at Urbana-Champaign
- Chris Brew -- Ohio State University
- Timothy Chklovski -- Factual Inc.
- Massimiliano Ciaramita -- Google
- Philipp Cimiano -- CITEC, University of Bielefeld
- Peter E. Clark -- Boeing
- William Cohen -- CMU
- Silviu-Petru Cucerzan -- MSR
- Ido Dagan -- Bar Ilan University
- Iustin Dornescu -- University of Wolverhampton
- Doug Downey -- Northwestern University
- James Fan -- IBM
- Evgeniy Gabrilovich -- Yahoo! Research
- Ed Hovy -- ISI
- Oren Kurland -- Technion, Israel
- Lillian Lee -- Cornell
- Daniel Marcu -- ISI
- Shaul Markovitch -- Technion, Israel
- Diana McCarthy -- Lexical Computing Ltd
- Rada Mihalcea -- UNT
- Vincent Ng -- University of Texas in Dallas
- Patrick Pantel -- Yahoo! Labs
- Marius Pasca -- Google
- Simone Ponzetto -- University of Heidelberg
- German Rigau -- University of the Basque Country
- Michael Strube -- EML Research gGmbH
- Mihai Surdeanu -- Stanford University
- Jamie Taylor -- Freebase
- Peter Turney -- NRC
- Paola Velardi -- Sapienza Universita' di Roma
- Qiang Yang -- UST
- Michael Witbrock -- Cyc
