31.967, Calls: Comp Ling, Semantics/Japan

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LINGUIST List: Vol-31-967. Wed Mar 11 2020. ISSN: 1069 - 4875.

Subject: 31.967, Calls: Comp Ling, Semantics/Japan

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Date: Wed, 11 Mar 2020 12:14:42
From: Dagmar Gromann [dagmar.gromann at gmail.com]
Subject: 6th Workshop on Semantic Deep Learning (SemDeep-6)

 
Full Title: 6th Workshop on Semantic Deep Learning (SemDeep-6) 
Short Title: SemDeep-6 

Date: 11-Jul-2020 - 13-Jul-2020
Location: Yokohama, Japan 
Contact Person: Dagmar Gromann
Meeting Email: dagmar.gromann at gmail.com
Web Site: http://www.dfki.de/~declerck/semdeep-6/ 

Linguistic Field(s): Computational Linguistics; Semantics 

Call Deadline: 24-Apr-2020 

Meeting Description:

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.


Call for Papers: 

SemDeep-6 is interested in contributions of Deep Learning 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 Semantic Web 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. For
more information, please visit http://www.dfki.de/~declerck/semdeep-6/

Important Dates: 
24 April 2020: 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)
following the provided style guide. Proceedings of SemDeep-6 will be published
as ACL Anthology.

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.

Important Dates for WiC-TSV challenge: 
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 for WiC-TSV challenge: 
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




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