Final CFP for SemDeep-6@IJCAI-PRICAI 2020
http://www.dfki.de/semdeep-6/
Online-Event in January, 2021
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SemDeep extended submission deadline: 17 September 2020 (00:00 CEST)
WiC-TSV Challenge end of evaluation: 17 September 2020 (00:00 CEST)
WiC-TSV Challenge system description paper: 8 October 2020 (optional)
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The 6th Workshop on Semantic Deep Learning (SemDeep-6) and the WiC-TSV
challenge will be collocated with IJCAI-PRICAI as an online event in
Janunary 2021.
Semantic Web (SW) technologies and Deep Learning (DL) share the goal of
creating intelligent artifacts. Both disciplines have had a remarkable
impact in data and knowledge analysis, as well as knowledge
representation, and in fact constitute two complementary directions for
modeling linguistic phenomena and solving semantically complex problems.
In this context, and following the main foundations set in past
editions, SemDeep-6 aims to bring together SW and DL research as well as
industrial communities.
SemDeep-6 is interested in contributions of DL to classic problems in
semantic applications, such as: (semi-automated) ontology learning,
ontology alignment, ontology annotation, duplicate recognition, ontology
prediction, knowledge base completion, relation extraction, and
semantically grounded inference, among many others. At the same time, we
invite contributions that analyse the interaction of SW technologies and
resources with DL architectures, such as knowledge-based embeddings,
lexical entailment, relation classification or knowledge base
completion. This year we are particularly interested in how this
combination can contribute to the bigger field of Explainable AI. This
workshop seeks to provide an invigorating environment where semantically
challenging problems which appeal to both Semantic Web and Deep Learning
communities are addressed and discussed.
KEYNOTE SPEAKER
We are happy to announce that Michael Spranger, a researcher at Sony
Computer Science Laboratories Inc. in Tokyo, Japan, who has been
actively contributing to neural-symbolic learning and reasoning, has
agreed to give a keynote at SemDeep-6.
TOPICS OF INTEREST
Topics of interest for scientific presentations and system
demonstrations for this sixth full-day workshop on Semantic Deep
Learning include but are not limited to:
Explainable Artificial Intelligence (XAI)
joint Semantic Web and Deep Learning approaches to foster XAI
Structured knowledge in deep learning
neural networks and logic rules for semantic compositionality
learning and applying knowledge graph embeddings
learning semantic similarity and encoding distances as
knowledge graph
ontology-based text classification
multilingual resources for neural representations of linguistics
Reasoning and inferences and deep learning
commonsense reasoning and vector space models
reasoning with deep learning methods
Learning knowledge representations with deep learning
deep learning methods for knowledge-base completion
deep ontology learning
deep learning models for learning knowledge representations
from text
deep learning ontological annotations
Application-specific combinations:
Deep Learning, Semantic Web, and natural language
Deep Learning, Semantic Web, and computer vision
Deep Learning, Semantic Web, and domain-specific applications
IMPORTANT DATES
17 September 2020 (00:00 CEST): (NEW) Submission deadline
30 September 2020: Notification of acceptance
5 November 2020: Camera-ready version
January 2021 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI
as an online event
SUBMISSION INSTRUCTIONS
We invite four types of submissions:
long papers of empirically validated ideas and solutions (max. 6 pages)
short papers presenting innovative not fully empirically validated
ideas or position papers or accompany a system demonstration (max. 4 pages)
short system description papers for the WiC-TSV challenge (max. 4
pages)
Please submit via EasyChair
(https://easychair.org/conferences/?conf=semdeep6) following the
provided style guide. Proceedings of SemDeep-6 will be published as ACL
Anthology.
For more information on the SemDeep-6 workshop, please visit
http://www.dfki.de/semdeep-6/
ORGANIZING COMMITTEE
Luis Espinosa Anke, Cardiff University, UK
Thierry Declerck, DFKI GmbH, Germany
Dagmar Gromann, University of Vienna, Austria
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WiC-TSV CHALLENGE
Word Sense Disambiguation (WSD) is a long-standing task in Natural
Language Processing and Artificial Intelligence. While progress has been
made in recent years, the evaluation of WSD models has been limited to a
set of (mostly SemEval-based) standard datasets.
The SemDeep-6 workshop includes a challenge (shared task) based on a new
multi-domain evaluation benchmark for WSD “Target Sense Verification for
Words in Context” (WiC-TSV).
The main difference between WiC-TSV and common WSD task statement is
that in WiC-TSV there is no standard sense inventory that systems need
to model in full. Each instance in the dataset is associated with a
target word and single sense, and therefore systems are not required to
model all senses of the target word, but rather only a single sense. The
task is to decide if the target word is used in the target sense or not,
a binary classification task. Therefore, the task statement of WiC-TSV
resembles the usage of automatic tagging in enterprise settings.
For the WiC-TSV challenge training, development and test sets will be
provided (training and development sets already available). For more
information and instructions on how to participate, please visit
https://competitions.codalab.org/competitions/23683.
IMPORTANT DATES
NOW: Test data release. Evaluation start
17 September 2020: Evaluation end
8 October 2020: System description paper deadline (optional)
22 October 2020: Author notifications with reviews
5 November 2020: Camera-ready submissions deadline
January 2021 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI
as an online event
ORGANIZING COMMITTEE
Anna Breit, Semantic Web Company, Vienna, Austria
Jose Camacho-Collados, Cardiff University, UK
Artem Revenko, Semantic Web Company, Vienna, Austria
Mohammad Taher Pilehvar, Iran University of Science and Technology, Iran