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AKBC 2020 : Automated Knowledge Base Construction

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Link: https://www.akbc.ws/2020/
 
When Jun 22, 2020 - Jun 24, 2020
Where Irvine,CA,USA
Abstract Registration Due Feb 6, 2020
Submission Deadline Feb 13, 2020
Notification Due Apr 20, 2020
 

Call For Papers

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We invite the submission of papers describing previously unpublished research, including new methodology, datasets, evaluations, surveys, reproduced results, negative results, and visionary positions.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 6 pages double column). Appendices can be included beyond the references in the same PDF file, but may be ignored by the reviewers.

We will follow a double-blind review process, and thus the submissions should not have any identifiable information about the authors. This includes not only the authors on the first page, but also any other information that betrays the identity, such as using first person pronouns when self-citing, URLs that include name of the authors/organization, etc. These restrictions apply to the appendices as well.

All submissions must be formatted with LaTeX using the following LaTeX source: akbc-latex.zip

For submission, do not include the \finalcopy flag.

Note that submissions will be made publicly available immediately after the submission deadline (see the review process for more details).

Submission Site: http://www.akbc.ws/2020/submission
Reviewing Process
We are following an open reviewing paradigm that solicits public discussion of the reviews, and allows authors to submit revisions that address reviewer comments, before decisions are made. The contents of all reviews will be public and generally visible to users logged into OpenReview.net. The contents of submitted reviews are not visible by reviewers who have not submitted their own reviews. Reviewer names are only visible to the area chairs (and are not visible to the public, other reviewers, or the authors).

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.

Related Resources

AKBC 2021   3rd Conference on Automated Knowledge Base Construction (AKBC)
PAKDD 2022   The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022)
ASE 2021   The 36th IEEE/ACM International Conference on Automated Software Engineering
KSEM 2022   International Conference on Knowledge Science, Engineering and Management
ICAPS 2022   The 32nd International Conference on Automated Planning and Scheduling
AAAI-MAKE 2022   AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
ACM-Ei/Scopus-KDML 2021   2021 International Conference on Knowledge Discovery and Machine Learning (KDML 2021)
ICKE 2022   2022 8th International Conference on Knowledge Engineering (ICKE 2022)
DMKD 2022   2022 5th International Conference on Data Mining and Knowledge Discovery(DMKD 2022)
ICPRAM 2022   11th International Conference on Pattern Recognition Applications and Methods