AKBC 2016

Fifth Workshop on Automated Knowledge Base Construction (AKBC)

at NAACL 2016, June 17, 2016, San Diego, California

http://www.akbc.ws
Knowledge Base Construction

Extracting knowledge from Web pages, and integrating it into a coherent
knowledge base (KB) is a task that spans the areas of natural language
processing, information extraction, information integration, databases,
search, and machine learning. Recent years have seen significant advances
here, both in academia and industry. Most prominently, all major search
engine providers (Yahoo!, Microsoft Bing, and Google) nowadays experiment
with semantic KBs. Our workshop serves as a forum for researchers on
knowledge base construction in both academia and industry.

Unlike many other workshops, our workshop puts less emphasis on
conventional paper submissions and presentations, but more on visionary
papers and discussions. In addition, one of its unique characteristics is
that it is centered on keynotes by high-profile speakers. AKBC 2010
<http://videolectures.net/akbc2010_grenoble/>, AKBC 2012
<https://akbcwekex2012.wordpress.com/>, AKBC 2013 <http://www.akbc.ws/2013/>
and AKBC 2014 <http://www.akbc.ws/2014/> each had a dozen invited talks
from leaders in this area from academia, industry, and government agencies.
We had senior invited speakers from Google, Microsoft, Yahoo, several
leading universities (MIT, Stanford, University of Washington, CMU,
University of Massachusetts, and more), and DARPA. With this year’s
workshop, we aim to resume this positive experience. By established
researchers for keynotes, and by focusing particularly on vision paper
submissions, we aim to provide a vivid forum of discussion about the field
of automated knowledge base construction.
Call For Papers

We welcome papers documenting previously unpublished research; ongoing and
exciting preliminary work is perfectly fine. We are particularly interested
in visionary paper submissions. We aim for papers that express intriguing
and promising ideas -- focusing less on where science is today and more on
where it should go tomorrow.

Topics of interest include, but are not limited to:

   -

   machine learning on text; unsupervised, lightly-supervised and
   distantly-supervised learning; learning from naturally-available data
   -

   human-computer collaboration in knowledge base construction; automated
   population of wikis
   -

   inference for graphical models and structured prediction; scalable
   approximate inference
   -

   information extraction; open information extraction, named entity
   extraction; ontology construction
   -

   entity resolution, relation extraction, information integration; schema
   alignment; ontology alignment; monolingual alignment, alignment between
   knowledge bases and text
   -

   pattern analysis, semantic analysis of natural language, reading the
   web, learning by reading
   -

   databases; distributed information systems; probabilistic databases
   -

   scalable computation; distributed computation
   -

   queries on mixtures of structured and unstructured data; querying under
   uncertainty
   -

   dynamic data, online/on-the-fly adaptation of knowledge
   -

   languages, toolkits and systems for automated knowledge base construction
   -

   demonstrations of existing automatically-built knowledge bases

Invited Talks

Antoine Bordes (Facebook Artificial Intelligence Research)

William Cohen (Carnegie Mellon University)

Benjamin van Durme (Johns Hopkins University)

Oren Etzioni (Allen Institute for Artificial Intelligence)

Percy Liang (Stanford University)

Chris Manning (Stanford University)

Andrew McCallum (University of Massachusetts Amherst)

Sebastian Riedel (University College London)

Kristina Toutanova (Microsoft Research)
Submission

Please format your papers using the standard NAACL style files
<http://naacl.org/naacl-pubs/>, and restrict it to 4 pages (excluding
references). Since the reviewing will not be double-blind, please include
author information. All accepted papers will be presented as posters, with
exceptional submissions also presented as oral talks.

Style files: http://naacl.org/naacl-pubs/

Submission site: https://www.softconf.com/naacl2016/AKBC2016/
Important Dates

Submission Due: February 25, 2016

Notification: March 20, 2016

Camera-ready Due: March 30, 2016

Workshop: June 17, 2016

Deadlines are at 11:59pm PDT and subject to change.
Organizers

   -

   Jay Pujara <https://cs.umd.edu/~jay/>, University of Maryland, College
   Park, USA
   -

   Danqi Chen <http://cs.stanford.edu/~danqi/>, Stanford University, USA
   -

   Tim Rocktäschel <http://rockt.github.com/>, University College London, UK
   -

   Sameer Singh <http://www.sameersingh.org/>, University of Washington, USA

For any questions, please mail [email protected]

Our workshop highly values the open exchange of ideas, the freedom of
thought and expression, and respectful scientific debate. We support and
uphold the NAACL Anti-Harassment policy (
http://naacl.org/policies/anti-harassment.html), and any workshop
participant should feel free to contact any of the NAACL Board members (
http://naacl.org/officers/) or Priscilla Rasmussen, in case of any issues.


-- 
Sameer Singh
Computer Science and Engineering
Univ of Washington, Seattle
http://sameersingh.org/
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