[open-linguistics] CFP: 4th Workshop on Semantic Deep Learning (SemDeep-4) at ISWC 2018
Thierry Declerck
declerck at dfki.de
Wed Mar 7 12:18:50 UTC 2018
CALL FOR PAPERS OF THE
4TH WORKSHOP ON SEMANTIC DEEP LEARNING (SemDeep-4) @ ISWC 2018
Monterey, California
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 expressible linguistic phenomena and solving semantically
complex problems. In this context, and following the main foundations
set in past editions, SemDeep-4 aims to bring together SW and DL
research as well as industrial communities. SemDeep 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, collocation discovery
and classification, or lexical entailment, to name only a few. This
workshop seeks to provide an invigorating environment where semantically
challenging problems which appeal to both Semantic Web and Computational
Linguistic communities are addressed and discussed.
We invite submissions on any approach combining Semantic Web
technologies and Deep Learning and suggest the following topics.
Structured knowledge in deep learning.
*
neural networks and logic rules for semantic compositionality
*
learning and applying knowledge graph embeddings to NLP tasks
*
learning semantic similarity and encoding distances as knowledge graph
*
ontology-based text classification
*
multilingual resources for neural representations of linguistics
*
semantic role labeling
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
Website: http://www.dfki.de/semdeep-4/
IMPORTANT DATES
*Firm* Submission deadline: June 1, 2018
Notification of acceptance: June 27, 2018
Camera-ready version: July 20, 2018
Workshop dates: October 8-9, 2018
SUBMISSION INSTRUCTIONS
We invite three types of submissions:
1.
Long papers with new results (max. 12 pages)
2.
Short papers presenting innovative not fully empirically validated
ideas or position papers (max. 4 pages)
3.
Short descriptions of systems that participate in the demo jam (max.
4 pages)
All papers need to follow the LCNS formatting guidelines. The demo jam
takes the format of system demonstrations where the theoretical
background may be explained in the presentation slot and the functioning
of the system is showcased in a 5 minute demo.
ORGANIZING COMMITTEE
Luis Espinosa Anke, Cardiff University, UK
Thierry Declerck, DFKI GmbH, Germany
Dagmar Gromann, Technical University Dresden, Germany
PROGRAM COMMITTEE
Stephan Baier, Ludwig Maximilian University, Munich, Germany
Michael Cochez, RWTH University Aachen, Germany
Brigitte Grau, LIMSI, CNRS, Orsay, France
Wei Hu, Nanjing University, China
Rezaul Karim, RWTH University Aachen, Germany
Stratos Kontopoulos, Multimedia Knowledge \& Social Media Analytics
Laboratory, Thessanloniki, Greece
Brigitte Krenn, Austrian Research Institute for AI, Vienna, Austria
Jose Moreno, Universite Paul Sabatier, IRIT, Toulouse, France
Luis Nieto Piña, University of Goteborg, Goteburg, Sweden
Sergio Oramas, Universitat Pompeu Fabra, Barcelona, Spain
Alessandro Raganato, Sapienza University of Rome, Rome, Italy
Simon Razniewksi, Max-Planck-Institute, Germany
--
Thierry Declerck,
Senior Consultant at DFKI GmbH, Language Technology Lab
Stuhlsatzenhausweg, 3
D-66123 Saarbruecken
Phone: +49 681 / 857 75-53 58
Fax: +49 681 / 857 75-53 38
email: declerck at dfki.de
-------------------------------------------------------------
Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschaeftsfuehrung:
Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster (Vorsitzender)
Dr. Walter Olthoff
Vorsitzender des Aufsichtsrats:
Prof. Dr. h.c. Hans A. Aukes
Amtsgericht Kaiserslautern, HRB 2313
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