28.2191, Calls: Computational Ling, Semantics/France

[The LINGUIST List]

LINGUIST List: Vol-28-2191. Wed May 10 2017. ISSN: 1069 - 4875.

Subject: 28.2191, Calls: Computational Ling, Semantics/France

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Date: Wed, 10 May 2017 14:19:26
From: Dagmar Gromann [dgromann at iiia.csic.es]
Subject: 2nd Workshop on Semantic Deep Learning

 
Full Title: 2nd Workshop on Semantic Deep Learning 
Short Title: SemDeep-2 

Date: 19-Sep-2017 - 19-Sep-2017
Location: Montpellier, France 
Contact Person: Dagmar Gromann
Meeting Email: dgromann at iiia.csic.es
Web Site: http://semdeep.iiia.csic.es/SemDeep-2/ 

Linguistic Field(s): Computational Linguistics; Semantics 

Call Deadline: 10-Jul-2017 

Meeting Description:

Based on the success of the first workshop on Semantic Deep Learning
collocated with the European Semantic Web Conference (ESWC) 2017, this second
interdisciplinary workshop aims to bring together Semantic Web and Deep
Learning practitioners.

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.


Call For Papers:

Second Workshop on Semantic Deep Learning (SemDeep-2) in Montpellier, France
on 19 September 2017 

We invite submissions on but not limited to the following topics:

- 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

Submission: 
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 submission site of the ISA-13 workshop
following the IWCS 2017 formatting. 

Dates:
Paper submission deadline: 10 July 2017
Notifications: 31 July 2017
Camera-ready version: 4 September 2017
Workshop: 19 September 2017

Website:
http://semdeep.iiia.csic.es/SemDeep-2/

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




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