TL;DR: The AKBC abstract & paper deadline is extended to February 13.
AKBC organizers are pleased to announce that the abstract deadline for paper submissions has been opened to February 13. Due to more efficient reviewer matching, we can now handle a compressed paper assignment schedule. The full paper deadline is still February 13, as announced earlier; however, if you did not submit an abstract before February 6, you can continue doing so until February 13, 2020, 11:59PM PST.
Submit here:
https://openreview.net/group?id=AKBC.ws/2020/Conference
AKBC 2020
2nd Conference on Automated Knowledge Base Construction (AKBC)
June 22-24, 2020, Monday-Wednesday, Irvine, CA
Homepage: http://www.akbc.ws ; Email: info@akbc.ws
Key dates
Abstract submission deadline: February 6. 2020
Paper submission deadline: February 13, 2020
Notification of acceptance: April 20, 2020
Conference & Workshop Dates: June 22-24, 2020
Knowledge Base Construction
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. 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.
New Conference
Nearly ten years after the first AKBC workshop in Grenoble, France, AKBC has become a conference, with its widely-acclaimed first instantiation last year in Amherst MA. Why a new stand-alone conference?
Long-standing and growing interest in the area, now with too much material for a one-day workshop. We have sufficient material for a two-day conference plus topical workshops.
We want to grow and connect the community beyond existing individual conference communities, bringing together ML, NLP, DB, IR, KRR, semantics, reasoning, common sense, QA, human computation, dialog, HCI.
We want to set our own culture, including reviewing practices, and meeting format. We have fond memories of the first AKBC 2010 in Grenoble: a two-day meeting that included an afternoon hike in the Alps with much great scientific discussion.
Why now? Growing interest across many areas. Disconnect among multiple relevant communities. Growing industry and government interest. Many of the long-existing conferences have grown uncomfortably large; a new, smaller conference can be more intimate, hospitable, and supportive.
Call For Papers
We invite the submission of papers describing previously unpublished research, including new methodology, datasets, evaluations, surveys, reproduced results, negative results, and visionary positions.
Topics of interest include, but are not limited to:
Natural language processing, information extraction, extraction of entities, relations, and events, semantic parsing, coreference, machine reading, entailment, web mining, multilingual NLP.
Information integration, entity resolution, schema & ontology alignment, text and structure alignment, federated KBs, Semantic Web.
Machine learning, supervised, unsupervised, lightly-supervised and distantly-supervised learning, deep learning, symbolic learning, multimodal learning, embeddings of knowledge.
Search, question-answering, reasoning, knowledge base completion, queries on mixtures of structured and unstructured data; querying under uncertainty.
Multi-modal knowledge bases: structured data, text, images, video, audio.
Human-computer interaction, crowdsourcing, interactive learning.
Fairness, accountability, transparency, misinformation, multiple viewpoints, uncertainty.
Databases, probabilistic databases, distributed databases, database cleaning, scalable computation, distributed computation, dynamic data, online adaptation of knowledge.
Systems, languages and toolkits, demonstrations of existing knowledge bases.
Evaluation of AKBC, datasets, evaluation methodology.
Authors of accepted papers will have the option for their conference paper to be archival (with full text in AKBC Proceedings, and be considered for best paper awards) or non-archival (listed in AKBC Conference schedule, with full text in OpenReview, and the flexibility to also submit elsewhere). Double-blind reviewing will be performed on the OpenReview platform, with papers, reviews and comments publicly visible, much like ICLR 2020.
Papers should be restricted to 10 pages excluding references (the equivalent of about 8 pages double column). Submission site: http://www.akbc.ws/2020/submission
Dual Submission Policy: Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, are not allowed and violate our dual submission policy. However, papers that cite previous related work by the authors and papers that have appeared on non-peered reviewed websites (like arXiv) or that have been presented at workshops (i.e., venues that do not have publication proceedings) do not violate the policy. The policy is enforced during the whole reviewing process period.
Invited Talks
Jonathan Berant (Tel Aviv University / Allen Institute for AI)
William Cohen (Google AI)
Xin Luna Dong (Amazon)
Heng Ji (University of Illinois, Urbana-Champaign)
Jure Leskovec (Stanford)
Ndapandula Nakashole (University of California, San Diego)
Theodoros Rekatsinas (University of Wisconsin-Madison)
Andrew Su (Scripps Institute)
Emma Strubell (Facebook/CMU)
Jamie Taylor (Google)
Benjamin Van Durme (John Hopkins University)
Diyi Yang (Georgia Institute of Technology)
Luke Zettlemoyer (University of Washington/Facebook)
Workshops
In addition to the two-day conference program, we will have a one-day collection of workshops on focused topics.
Organizers
General Co-Chair Andrew McCallum, University of Massachusetts Amherst, USA
General Co-Chair Alon Halevy, Facebook AI, USA
Program Co-chair Hannaneh Hajishirzi, University of Washington/Allen Institute for AI, USA
Program Co-chair Dipanjan Das, Google, USA
Workshop Co-chair Amanda Stent, Bloomberg, USA
Workshop Co-chair Zachary Ives, University of Pennsylvania, USA
Funding Chair Christopher Ré, Stanford University, USA
Local Co-chair Sameer Singh, University of California, Irvine, USA
Local Co-chair Matt Gardner, Allen Institute for AI, USA
Area Chairs
Isabelle Augenstein, University of Copenhagen
Danqi Chen, Princeton University
Zornitsa Kozareva, Google
Kenton Lee, Google
Andre Martins, Unbabel and Instituto Superior Técnico
Mausam, Indian Institute of Technology, Delhi
Emily Pitler, Google
Xiang Ren, University of Southern California
Alan Ritter, Ohio State University
Minjoon Seo, University of Washington
Vivek Srikumar, University of Utah
Ivan Titov, University of Edinburgh
Guy Van den Broeck, University of California, Los Angeles
Byron Wallace, Northeastern University
Mark Yatskar, University of Pennsylvania
Questions? Please mail info@akbc.ws.