==== Call For Papers ====
WIT: Workshop On Deriving Insights From User-Generated Text
Co-located with SIGKDD 2021, (Virtual) Singapore, Aug 14th-18th, 2021
Workshop Overview
Users from Web platforms and online services generate tremendous amounts of
user-generated data in the form of search requests, reviews, questions, and
answers. We believe there is tremendous opportunity to exploit advanced AI/NLP
techniques on user-generated text data which are rich in user insights and
experiences.
The WIT workshop provides a venue for researchers from the academia and
industry to address challenges around harnessing text-heavy user-generated data
that is available to different types of organizations, especially on topics
pertaining to the pipeline of extracting data from unstructured text to a
structured form to obtain insights. We will have a great line-up of Invited
Speakers and Panelists.
WIT will be held as a virtual single-day event at SIGKDD 2021.
We encourage submissions that describe a well-defined piece of
research or is thought-provoking. Topics will include but are not limited to
information extraction, data cleaning, entity matching, schema matching,
semantic search, summarization, language generation, (common-sense)
knowledge-bases and information seeking Q&A/Dialogue.
Submitted papers can be regular papers or extended abstracts. If there is
sufficient interest from the authors of accepted papers, we may publish the
post-proceedings at CEUR. The maximum length of a regular paper is 8 pages plus
unlimited number of pages for references. The maximum length of an extended
abstract is 4 pages plus unlimited number of pages for references. At least one
author of every accepted paper is expected to attend the workshop. Regular
papers will be given an oral presentation slot. Extended abstracts will be
presented in the form of poster/demo/short talks, depending on the workshop
schedule.
Important Dates
• Submission deadline (All submission types): May 20th, 2021
• Notification of acceptance: June 10, 2021
• Camera ready papers due: TBD
Organizers
• Estevam Hruschka, Megagon Labs (este...@megagon.ai
<mailto:este...@megagon.ai>)
• Tom Mitchell, Carnegie Mellon University, (tom.mitch...@cmu.edu
<mailto:tom.mitch...@cmu.edu>)
• Marko Grobelnik, Jozef Stefan Institute (JSI),
(marko.grobel...@ijs.si <mailto:marko.grobel...@ijs.si>)
• Behzad Golshan, Megagon Labs (beh...@megagon.ai
<mailto:beh...@megagon.ai>)
Contact
If you have any questions or inquiries regarding the workshop, need Mentorship
on the suitability of your paper, or need further information, please do not
hesitate to send an email to w...@megaogn.ai <mailto:w...@megaogn.ai>._______________________________________________
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