*** UPDATE: Deadline moved to 24th of October! ***
Knowledge Base Construction ======================= The advances in information extraction, machine learning, and natural language processing have led to the creation of large knowledge bases (KBs) from Web sources. Notable endeavors in this direction include Wikipedia-based approaches (such as YAGO, DBpedia, and Freebase), systems that extract from the entire Web (such as NELL, Knowledge Vault, and PROSPERA) or from specific domains (such as Rexa), and open information extraction approaches (TextRunner, PRISMATIC). This trend has led to new applications that make use of semantics. Most prominently, all major search engine providers (Yahoo!, Microsoft Bing, and Google) nowadays experiment with semantic tools. The Semantic Web, too, benefits from the new approaches.
With this year’s workshop, we would like to resume the positive experiences from three previous workshops: AKBC-2010 (http://akbc.xrce.xerox.com/), AKBC-WEKEX-2012 (http://akbcwekex2012.wordpress.com/), and AKBC 2013 ( http://akbc.ws/2013). The AKBC-2014 workshop will serve as a forum for researchers working in the area of automated knowledge harvesting from text. By having invited talks by leading researchers from industry, academia, and the government, and by focusing particularly on vision papers, 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Call For Papers ======================= We welcome papers documenting previously unpublished research; ongoing and exciting preliminary work is perfectly fine.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.
Topic of interest include, but are not limited to: * information integration; schema alignment; ontology alignment; ontology construction * monolingual alignment, alignment between knowledge bases and text * joint inference between text interpretation and knowledge base * pattern and semantic analysis of natural language, reading the web, learning by reading * scalable computation; distributed computation; probabilistic databases * information retrieval; search on mixtures of structured and unstructured data * machine learning; unsupervised, lightly-supervised and distantly-supervised learning; learning from naturally-available data * human-computer collaboration in KB construction; automated population of wikis * dynamic data, online/on-the-fly adaptation of knowledge * inference; scalable approximate inference * languages, toolkits and systems for automated knowledge base construction * demonstrations of existing automatically-built knowledge bases
Invited Talks ======================= * William Cohen, CMU * Oren Etzioni, Allen’s Institute for Artificial Intelligence * Ramanathan Guha, Google * Andrew McCallum, UMass Amherst * Tom Mitchell, CMU * Kevin Murphy, Google Research * Hoifung Poon, Microsoft Research * Chris Re, Stanford University * Amarnag Subramanya, Google Research * Jason Weston, Facebook Research
Submission ======================= We welcome ongoing and exciting preliminary work. 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.
Please format your papers using the standard NIPS Style files, and restrict it to 4 pages (excluding references). Since the reviewing will not be double blind, please include author information and the \nipsfinalcopy flag.
Style files: http://nips.cc/Conferences/2014/PaperInformation/StyleFiles Submission site: https://easychair.org/conferences/?conf=akbc2014 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 10906 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20141016/6ee797ab/attachment.txt>