LINGUIST List 28.1081

Thu Mar 02 2017

Calls: Computational Linguistics/Slovenia

Editor for this issue: Kenneth Steimel <>

Date: 01-Mar-2017
From: Dagmar Gromann <>
Subject: Semantic Deep Learning
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Full Title: Semantic Deep Learning
Short Title: SemDeep 17

Date: 28-May-2017 - 29-May-2017
Location: Portoroz, Slovenia
Contact Person: Dagmar Gromann
Meeting Email: < click here to access email >
Web Site:

Linguistic Field(s): Computational Linguistics

Call Deadline: 12-Mar-2017

Meeting Description:

Semantic Deep Learning aims to bring together Semantic Web and deep learning methods, technologies, and resources. Semantic Web and deep learning research share the goal of creating intelligent artefacts that emulate human capacities, such as reasoning, validating, and predicting. Both fields have been considerably impacting data and knowledge analysis as well as representation.

Deep learning has been successfully applied to (semi-automated) ontology learning, ontology alignment, ontology annotation, duplicate recognition, and ontology prediction. Ontologies have been repeatedly utilized as input to machine learning tasks and as background knowledge to guide such tasks. Hybrid approaches, such as knowledge graph embeddings, hold the potential of improving the effectiveness of knowledge-related tasks. This workshop offers a platform for discussing such hybrid approaches and for fostering future collaborations between those two fields.

Final Call for Papers:

ESWC Workshop on Semantic Deep Learning (SemDeep-17)
Extended Deadline: Friday 12 March 2017 (all submissions)

Workshop Topics:

Topics of interest for papers, posters, and software demonstrations of original and unpublished work include, but are not limited to:

- Learning and applying knowledge graph embeddings
- Deep learning and Semantic Web technologies for entity disambiguation
- Deep learning technologies for ontology learning
- Embedding-based relation prediction
- Ontology matching and alignment using deep learning
- Word embeddings for learning annotations
- Ontology-based clustering
- Ontology-based classification
- Deep Structured Semantic Models (DSSM) for the Semantic Web
- Deep learning and semantic data for Machine Translation Question & Answering, Information Extraction

Accepted Submissions:

- Full papers (max. 12 pages): Mature research work that has been validated experimentally
- Posters/demos (max. 4 pages): Early results, working demos, software, services and platforms

Submission Procedure:

Submissions should not exceed 12 pages and are to be formatted according to the Springer LNCS template. Papers should be submitted in PDF format to EasyChair (

Important Dates:

Paper submission deadline: Friday March 12, 2017 - 23:59 Hawaii Time
Notifications: Friday March 31, 2017
Camera-ready version: Thursday April 13, 2017 - 23:59 Hawaii Time
Workshop camera-ready proceedings due: May 1, 2017 - 23:59 Hawaii Time
Workshop days: May 29, 2017

Organizing Committee:

Georg Heigold, DFKI GmbH, Germany
Dagmar Gromann, Artificial Intelligence Research Institute (IIIA - CSIC), Spain
Thierry Declerck, Saarland University & DFKI GmbH, Germany

Program Committee:

Arkaitz Zubiaga, University of Warwick, UK
Brigitte Krenn, Austrian Research Institute for AI, Vienna, Austria
Felix Sasaki, W3C & DFKI GmbH; Berlin, Germany
John McCrae, Insight Centre for Data Analytics, Galway, Ireland
Jonathan Dehdari, DFKI GmbH, Germany
Laura Tolosi-Halacheva, Ontotext, Sofia, Bulgaria
Leon Derczynski, University of Sheffield, UK
Luis Espinosa Anke, TALN-DTIC, Universitat Pompeu Fabra, Spain
Martin Riedl, Language Technology Group, U. Hamburg, Germany
Octavia-Maria Șulea, Computational Linguistics, Saarland University
Sándor Darányi,University of Borås, Sweden
Stratos Kontopoulos, Multimedia Knowledge & Social Media Analytics Laboratory, Thessanloniki, Greece
Enrico Santus Aversano, The Hong Kong Polytechnic University, Hong Kong
Michael Spranger, Sony Computer Science Laboratories Inc., Tokyo, Japan
Vered Shwartz, Bar-Ilan University, Ramat Gan, Isreal

Page Updated: 02-Mar-2017