We welcome papers documenting previously unpublished research; ongoing and exciting preliminary work is perfectly fine.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

Submission

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.

• Style files: http://naacl.org/naacl-pubs/
• Submission site: https://www.softconf.com/naacl2016/AKBC2016/

Important Dates

• Submission Due: March 25, 2016
• Notification: April 1, 2016
• Camera-ready Due: April 8, 2016
• Workshop: June 17, 2016

• Jay Pujara, University of Maryland, USA
• Tim Rocktaschel, University College London, UK
• Danqi Chen, Stanford University, USA
• Sameer Singh, University of Washington, USA