1st Conference on Automated Knowledge Base Construction (AKBC) 2019
in Amherst, Massachusetts, May 20-22nd, 2019.
Knowledge gathering, representation, and reasoning are among the fundamental challenges of artificial intelligence. Large-scale repositories of knowledge about entities, relations, and their abstractions are known as “knowledge bases”. Most major technology companies now have substantial efforts in knowledge base construction, and related scholarly work spans many research areas, including machine learning, natural language processing, computer vision, information integration, databases, search, data mining, knowledge representation, human computation, human-computer interfaces, and fairness. The AKBC conference serves as a research forum for all these areas, in both academia and industry.
Nearly ten years after the first AKBC workshop in Grenoble, France, AKBC is becoming a conference. Why a new stand-alone conference?
|Waleed Ammar (AI2)|
|Danqi Chen (Stanford/Princeton)|
|Yejin Choi (UW, AI2)|
|Laura Dietz (UNH)|
|Lise Getoor (UCSC)|
|Alexandra Meliou (UMass)|
|Ndapa Nakashole (UCSD)|
|Fernando Pereira (Google)|
|Hoifung Poon (MSR)|
|Chris Re (Stanford and Apple)|
|Sebastian Riedel (UCL and Facebook)|
|Guy Van den Broeck (UCLA)|
|Claudia Wagner (Leibniz Institute for Social Sciences)|
|Chris Welty (Google)|