posted by user: cdq10131 || 8210 views || tracked by 8 users: [display]

AKBC 2021 : 3rd Conference on Automated Knowledge Base Construction (AKBC)


When Oct 4, 2021 - Oct 7, 2021
Where Irvine, United States
Submission Deadline Jun 17, 2021
Notification Due Jul 30, 2021
Categories    natural language processing   machine learning   databases   data mining

Call For Papers

AKBC 2021

3rd Conference on Automated Knowledge Base Construction (AKBC)

October 4-7, 2021, Monday-Thursday (held virtually)



Key dates

Paper submission deadline: Thursday, June 17, 2021

Notification of acceptance: Wednesday, July 30, 2021

Conference & Workshop Dates: Monday-Thursday, October 4-7, 2021

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 gathering all these areas, in both academia and industry.

About the Conference

Nearly a decade after the first AKBC workshop in Grenoble, France, 2010, AKBC became a conference in 2019. Why a stand-alone conference?

Long-standing and growing interest in the area.

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, and HCI.

We want to set our own culture, including reviewing practices, and meeting format.

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We invite the submission of papers describing previously unpublished research, including new methodology, datasets, evaluations, surveys, reproduced results, negative results, and visionary positions.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.

Papers should be restricted to 10 single-column pages, excluding references. Submission site:

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.

Invited Talks

The following are confirmed invited speakers. Additional speakers are expected to be added.

Peter Clark (Allen Institute for AI)
Jia Deng (Princeton)
Greg Durrett (University of Texas Austin)
Yolanda Gil (USC)
Hanna Hajishirzi (University of Washington)
Tim Kraska (MIT)
Monica Lam (Stanford)
Devi Parikh (Georgia Tech and Facebook AI Research)
Sujith Ravi (Amazon Alexa AI)
Siva Reddy (McGill)
Dafna Shahaf (Hebrew University)
David Sontag (MIT)


In addition to the conference program, we will have a one-day collection of workshops on focused topics.


General Co-chair Andrew McCallum, University of Massachusetts Amherst, USA

General Co-chair Sameer Singh, University of California, Irvine, USA

Program Co-chair Danqi Chen, Princeton University

Program Co-chair Jonathan Berant, Tel Aviv University / Allen Institute for AI

Workshop Co-chair Eunsol Choi, UT Austin

Workshop Co-chair Waleed Ammar, Google

Virtual Platform Chair Matt Gardner, Allen Institute for AI, USA

Website Chair Maor Ivgi, Tel Aviv University

Area Chairs

Yael Amsterdamer Bar-Ilan University
Bhavana Dalvi Allen Institute for Artificial Intelligence
Greg Durrett UT Austin
William L. Hamilton Mila, McGill University
Robin Jia Facebook AI Research / University of Southern California
Gerard de Melo Hasso Plattner Institute / University of Potsdam
Barbara Plank IT University of Copenhagen
Alex Ratner University of Washington
Partha Talukdar Indian Institute of Science, Bangalore
Chenhao Tan University of Chicago
Jesse Thomason University of Southern California

Andreas Vlachos University of Cambridge

Diyi Yang Georgia Institute of Technology

Questions? Please e-mail

Related Resources

INCOFT 2024   3rd International Conference on Futuristic Technologies
ECAI 2024   27th European Conference on Artificial Intelligence
DMKD 2024   2024 International Conference on Data Mining and Knowledge Discovery(DMKD 2024)
AIM@EPIA 2024   Artificial Intelligence in Medicine
ICAPS 2024   The 34th International Conference on Automated Planning and Scheduling
ICDM 2024   IEEE International Conference on Data Mining
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
SPIE-Ei/Scopus-ITNLP 2024   2024 4th International Conference on Information Technology and Natural Language Processing (ITNLP 2024) -EI Compendex
ICoIV 2024   2024 International Conference on Intelligent Vehicles (ICoIV 2024)
JSS VSI:AI-testing-and-analysis 2024   [JSS - Elsevier] Special Issue on Automated Testing and Analysis for Dependable AI-enabled Software and Systems