UPDATED CALL FOR PAPERS FOR THE 6TH WORKSHOP ON SEMANTIC DEEP LEARNING AND THE WiC-TSV CHALLENGE,SemDeep-6@IJCAI-PRICAI 2020

UPDATED CALL FOR PAPERS FOR THE 6TH WORKSHOP ON SEMANTIC DEEP LEARNING 
AND THE WiC-TSV CHALLENGE
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 Evaluation now open!
WiC-TSV Challenge end of evaluation: 17 September 2020 (00:00 CEST)
WiC-TSV Challenge system description paper: 8 October 2020 (optional)
=====================================================

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

=====================================================

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

-- 
Thierry Declerck
Senior Consultant at DFKI GmbH, Multilinguality and Language Technology
Stuhlsatzenhausweg, 3
D-66123 Saarbruecken
Phone: +49 681 / 857 75-53 58
Fax: +49 681 / 857 75-53 38
email: declerck@dfki.de

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Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany

Geschäftsführung:
Prof. Dr. Antonio Krüger

Vorsitzender des Aufsichtsrats:
Dr. Gabriël Clemens
Amtsgericht Kaiserslautern, HRB 2313
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Received on Tuesday, 18 August 2020 11:33:52 UTC