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Second Call for Papers: SemDeep-6@IJCAI-PRICAI deadline extended

From: Dagmar Gromann <dagmar.gromann@gmail.com>
Date: Tue, 21 Apr 2020 22:38:48 +0200
Message-Id: <38FE9763-0FE6-4AA4-B8AA-0C877315DB33@gmail.com>
To: ai-sges@jiscmail.ac.uk, "PlanetKR@kr.org" <PlanetKR@KR.ORG>, admin13@aaai.org, semantic-web@w3.org, PROLE@babel.ls.fi.upm.es, iiia@iiia.csic.es, dl@dl.kr.org, sigir@acm.org, sigsem@aclweb.org, elsnet-list@elsnet.org
Dear colleagues, 

please find below the second call for papers for the 6th Workshop on Semantic Deep Learning (SemDeep-6) colocated with IJCAI-PRICAI. 

We would like to point your attention to the fact that we will in any case organize the workshop, even though it will probably become an online event. Furthermore, we have decided to extend the submission deadline to May 15. 

Please consider the event as a venue for your work, feel free to forward this call and please accept our apologies if you receive this call more than once. 

Kind regards,
Dagmar, Luis, Thierry 


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

Yokohama, Japan from July 11-17, 2020

It is likely that the workshop will be organized as an online event. 

=====================================================
SemDeep extended submission deadline: 24 April 2020  15 May 2020 (00:00 CEST) 
WiC-TSV Challenge end of evaluation: 1 May 2020  
=====================================================

The 6th Workshop on Semantic Deep Learning (SemDeep-6) <http://www.dfki.de/~declerck/semdeep-6/> and the WiC-TSV challenge <https://competitions.codalab.org/competitions/23683> will be collocated with IJCAI-PRICAI <https://ijcai20.org/> in Yokohama, Japan, this year.  

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
24 April 2020: Submission deadline 15 May 2020 (00:00 CEST): Submission deadline
1 June 2020: Notification of acceptance
12 June 2020: Camera-ready version
11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI


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 <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/~declerck/semdeep-6/ <http://www.dfki.de/~declerck/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 <https://competitions.codalab.org/competitions/23683>. 


IMPORTANT DATES 
10 April 2020: Test data release. Evaluation start
1 May 2020: Evaluation end
15 May 2020: System description paper deadline
1 June 2020: Author notifications with reviews
12 June 2020: Camera-ready submissions deadline
11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI


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 
Received on Tuesday, 21 April 2020 20:39:03 UTC

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