SemDeep 2017

SemDeep 2017
Second Workshop on Semantic Deep Learning
Event in series	SeemDeep
Dates	19/10/2017 (iCal) - 19/10/2017
Homepage:	http://semdeep.iiia.csic.es/
Location
Location:	Montpellier, France
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Table of Contents

Dear colleagues,

Based on multiple requests we have decided to extend the submission deadline for SemDeep-2 to 17 July 2017.

Kind regards, Dagmar, Thierry, Georg

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Deadline Extension for for the Second Workshop on Semantic Deep Learning (SemDeep-2)

• Deadline EXTENDED to Monday 17 July 2017 for ALL submissions ****

Scope: Based on the success of the first workshop on Semantic Deep Learning collocated with the European Semantic Web Conference (ESWC) 2017, this SemDeep-2 aims to bring together Semantic Web and Deep Learning practitioners and is collocated with the 12th International Conference on Computational Semantics (IWCS) in Montepellier, France.

Deep Learning (DL) is a set of machine learning algorithms that acquire data features and representations by submitting data to possibly multi-layered neural networks. Semantic Web (SW) technologies focus on structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and representation. We believe that the integration of SW technologies and resources with DL methods is very promising for the exploration of natural language semantics.

We thus invite submissions that illustrate how Semantic Web technologies and resources can benefit from Deep Learning or build on Deep Learning results. At the same time, we are interested in submissions that show how Semantic Web technologies and resources can assist in DL tasks.

Workshop Topics:

Topics of interest for papers, posters, and software demonstrations of original and unpublished work include, but are not limited to:

- semantic disambiguation with deep learning

	- neural networks and logic rules for semantic compositionality

- learning semantic similarity and encoding distances as knowledge graph - deep learning semantic annotations - information retrieval and extraction with knowledge graphs and deep learning models - Deep Structured Semantic Models (DSSM) for the Semantic Web - multilingual semantic deep learning - learning and applying knowledge graph embeddings - reasoning with deep learning methods - deep learning models for ontology learning from text - predicting ontological relations with deep learning - deep learning Linked Data - ontology-based classification - learning semantic role labeling - investigation of compatibilities and incompatibilities between deep learning and Semantic Web approaches

Submissions:

Full papers: mature research work describing original research and its validation (6-8 pages, not including references) Short papers: research papers describing original research (3-4 pages, not including references) Project/demonstration notes: recent, ongoing or planned projects, early results and working demos (2-4 pages, including references)

Submission of papers is through the easy chair page selecting "Semantic Deep Learning". For the formatting of submissions please follow the IWCS 2017 Formatting Instructions.

Important dates:

Paper submission deadline: 17 July 2017 - 23:59 Hawaii Time Notifications: 8 August 2017 Camera-ready version: 4 September 2017 Workshop: 19 September 2017

Location:

Semantic Deep Learning is a workshop collocated with the 12th International Conference on Computational Semantics (IWCS) and will take place in Montpellier, France on 19 September 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:

Kemo Adrian, Artificial Intelligence Research Institute (IIIA-CSIC), Bellaterra, Spain Luis Espinosa Anke, Savana, Madrid, Spain Leon Derczynski, University of Sheffield, UK Stratos Kontopoulos, Multimedia Knowledge & Social Media Analytics Laboratory, Thessaloniki, Greece Brigitte Krenn, Austrian Research Institute for AI, Vienna, Austria Enrico Santus, The Hong Kong Polytechnic University, Hong Kong Felix Sasaki, W3C & DFKI GmbH, Berlin, Germany Vered Shwartz, Bar-Ilan University, Ramat Gan, Isreal Michael Spranger, Sony Computer Science Laboratories Inc., Tokyo, Japan Arkaitz Zubiaga, University of Warwick, Coventry, UK