AKBC 2016

5th Workshop on Automated Knowledge Base Construction (AKBC) 2016

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

We welcome papers documenting previously unpublished research; ongoing and exciting preliminary work is perfectly fine.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


Please format your papers using the standard NAACL style files, 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.

Important Dates

  • Submission Due: March 25, 2016
  • Notification: April 1, 2016
  • Camera-ready Due: April 8, 2016
  • Workshop: June 17, 2016
Deadlines are at 11:59pm PDT and subject to change.

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
Kristina Toutanova Microsoft Research
For any questions, please mail info@akbc.ws