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ISCApad Archive  »  2018  »  ISCApad #246  »  Academic and Industry Notes

ISCApad #246

Thursday, December 13, 2018 by Chris Wellekens

4 Academic and Industry Notes
4-1Master Informatique en Apprentissage et Traitement Automatique de la Langue : ATAL. Universités du Maine et de Nantes France
Les Universités du Maine et de Nantes propose un parcours conjoint de Master Informatique en Apprentissage et Traitement Automatique de la Langue : ATAL !

Le parcours ATAL forme des étudiants issus de filières informatiques à un ensemble de techniques d'apprentissage automatique et de traitement automatique de la langue qui sont au c?ur des applications en ingénierie des langues telles que la traduction automatique, la fouille d?opinions, la recherche d?information, la reconnaissance de la parole et du locuteur? Il s'agit donc de former des étudiants hautement spécialisés qui seront capables de mettre en ?uvre des applications prenant en compte des masses de données complexes et hétérogènes. Au terme de la formation les étudiants seront reconnus comme DataScientist, Chef de projet en ressources linguistiques, Cadre en technologies et services de l?information? 

La formation s?appuie sur des chercheurs issus des laboratoires du LS2N (Laboratoire des Sciences du Numérique de Nantes) et du LIUM (Laboratoire d'Informatique de l'Université du Maine) et sur des acteurs économiques dont les applications nécessitent des connaissances sur le traitement de données langagières. En outre, la formation est très ancrée dans son écosystème régional et les étudiants seront invités à participer à des Meetup et sensibilisés au monde de l?entrepreneuriat. 

Il est possible d?accéder à la formation en M1 comme en M2 selon les acquis du candidat. 
- le M1 peut être indifféremment réalisé au Mans ou à Nantes selon la préférence de l?étudiant. 
- l?ensemble des cours du M2 sont mutualisés entre les Universités du Maine et de Nantes et l?étudiant peut librement s?inscrire au Mans ou à Nantes. Le M2 peut être réalisée en présentiel ou en alternance.

Information
----------------
- Nantes : http://www.master-info.univ-nantes.fr/00542841/0/fiche___pagelibre/&RH=1403710895111
- Le Mans: http://www-info.univ-lemans.fr/?page_id=10
 
Modalités d?accès
--------------------------
- Nantes : http://www.sciences-techniques.univ-nantes.fr/72621571/0/fiche___pagelibre/
- Le Mans : http://www-info.univ-lemans.fr/?page_id=211

 
Contacts
-------------
- Nantes : Emmanuel.Morin@univ-nantes.fr 
- Le Mans : Yannick.Esteve@univ-lemans.fr
 
 
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4-2Virtual Coaches

Modeling Virtual Coaches

The European Horizon-2020 project Council of Coaches aims to develop a tool in which virtual embodied coaches form a team of experts that can discuss amongst themselves and with the user how the user could improve his healthy lifestyle behaviors. The project combines state of the art 3D Virtual Avatars with language and reasoning technology and applies this to the area of lifestyle and behavior change coaching.

The goal of research is to design, implement and evaluate user interaction with the team of virtual agents, the council of coaches (Home Interface) and one-on-one interaction with a single coach (Mobile Interface). In particular it focuses on

  1. Modelling coaches with their own specific agenda and behaviour style aiming at creating unique social relationships with users.
  2. Adapting virtual coaches? behavior to ensure that user maintains his involvement in the relationship with the coaches.

Specific attention will be given to the development of virtual coaches with a wide variety of behavioural characteristics and personality traits. Several studies have shown how low level features such as behaviour expressivity and high level characteristic (e.g. personality traits ) affect user?s involvement in their interaction with the virtual characters and impact his performances (McRorie et al., 2011) (Paiva et al., 2017)).

The work in this research will make use of and build upon the GRETA/VIB platform developed at UPMC (Pecune et al., 2014) for multimodal behaviour generation and for visualizing virtual coaches.

To apply, send a CV and names of reference to    catherine.pelachaud@upmc.fr

 

H2020 Council of Coaches

 

 

 

Context:

 

The GRETA/VIB platform is developed at CNRS-ISIR (Pécune et al, 2014). It simulates virtual characters able to communicate with humans in real-time. It is endowed with socio-emotional capabilities. The control of the character is done through two specific languages at the communicative intention level and at the multimodal behavior one. The platform includes several tools to create multimodal behaviors.

 

The GRETA/VIB platform is used within the European Horizon-2020 project Council of Coaches which aims to develop a tool in which virtual embodied coaches form a team of experts that can discuss amongst themselves and with the user how the user could improve his healthy lifestyle behaviors. The project combines state of the art 3D Virtual characters with language and reasoning technology and applies this to the area of lifestyle and behavior change coaching.

 

Job Description:

 

We are looking for an engineer knowledgeable in 3D virtual environment. S/he will participate to Council of Coaches project. Her/his role will be:

 

-          Port the Greta/VIB platform onto Android mobile and VR headset.

 

-          Participate to development of computational model of agent?s multimodal behaviors

 

-          Integrate software modules within the VIB/Greta platform and/or within a bigger software system developed within the H2020 project Coach Council.

 

-          Participate to developers meetings (online and on site) of the H2020 project Coach Council

 

Profile: Engineer in computer science, Master, PhD

 

skills:

 

  • Programming languages and standards: Java, C#, C++, XML, Ogre 3D

 

Mastered skills:

 

  • The ideal candidate will have solid software development, testing and integration skills
  • English (written and oral)

 

Project Length: 1 year position renewable

 

Place: ISIR - UPMC

 

Stipend: depends on applicant qualification

 

Contact: Catherine Pelachaud, CNRS-ISIR; catherine.pelachaud@upmc.fr

 

To apply, send a CV, names of reference, master grades (for Master applicants) to    catherine.pelachaud@upmc.fr



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4-3IEEE CIS Newsletter on Cognitive and Developmental Systems (open access).
 
Dear colleagues,

we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access).
This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. 

It is available at: http://goo.gl/pA7WrH

Featuring dialog:
=== 'One developmental architecture to rule them all?'
== Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk and Johan Kwisthout
with responses from: Niels Taatgen, John Spencer, Gary Jones, Gerard Wolff, Clément Moulin-Frier and Paul Verschure
== Topic: Humans have a unique capability to achieve and learn a wide diversity of skills of all kinds, from low-level sensorimotor skills to very abstract linguistic or mathematical skills. Is it possible to develop theories of how general cognitive architectures can display such a general flexibility for skill learning? This dialog adresses this question, and discusses whether and how it would be useful both epistemologically and in practice to aim towards the development of a ?standard integrated cognitive architecture?, akin to ?standard models? in physics, or whether focusing on simple and partial models should be a better approach. In particular, this question is discussed in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves.

Call for new dialog:
=== 'Curiosity as Driver of Extreme Specialization in Humans'
== Dialog initiated by Celeste Kidd
==  This dialog asks the question of why and how humans can be driven to extremely specialize. In particular, it proposes the hypothesis that curiosity may play a fundamental role in this process, and highlights many important open questions about how this could happen, and what are the actual mechanisms of curiosity-driven exploration and learning. Those of you interested in reacting to this dialog initiation are welcome to submit a response by May 30th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer@inria.fr).
 
Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz

I wish you a stimulating reading!

Best regards,

Pierre-Yves Oudeyer,
Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems
Research director, Inria
Head of Flowers project-team
Inria and Ensta ParisTech, France
http://www.pyoudeyer.com
 
and 
 
Fabien Benureau
Assistant Editor
Inria Mnemosyne team
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4-4Challenge ASR in English Air Traffic Control

AIRBUS, in collaboration with IRIT, ENAC and SAFETY DATA-CFH, is launching a challenge on automatic speech recognition of English Air Traffic Control (ATC) communications.

For more information: https://aigym.airbus.com/challenges/59bbf004dce682131435fe9c/

Registration is open, please the email see below.

Regards

The challenge team

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4-5Call for book contributions

We are planning to edit a book from a repute press on Human Computer Interaction.

If you are interested to submit a full chapter, please send a tentative title, authors list with mail id and abstract of the chapter within 250words by 30th April 2018 through this link:
goo.gl/jJbLgD




We will make the tentative tabel of content based on those abstracts.

Once the book proposal got accepted we will inform you all the details to write the full chapter of 15-20 pages.



Topics include (but are not limited to):

Innovative interaction techniques
Multimodal interaction
Speech interaction
Graphic interaction
Natural language interaction
Interaction in mobile and embedded systems
Interface design and evaluation methodologies
Design and evaluation of innovative interactive systems
User interface prototyping and management systems
Ubiquitous computing
Wearable computers
Pervasive computing
Affective computing
Empirical studies of user behaviour
Empirical studies of programming and software engineering
Computer supported cooperative work
Computer mediated communication
Virtual reality
Mixed and augmented Reality
Intelligent user interfaces
Presence
Intelligent tutoring, coaching and debugging systems
Interactive decision support systems
Agent-based computing, agent models, co-ordination and communication
Human language technologies and machine learning in interactive systems
Knowledge acquisition, discovery, modelling and management
Peer to peer communication between intelligent systems
Ontologies, knowledge technologies, semantic web systems
Human-Computer Interaction theory - e.g. user models, cognitive systems
Thanks again.

Cordially

Pr. Med Salim BOUHLEL
Head of the Research Lab: SETIT ( Sfax University )
President of the Tunisian Association Human-Machine Interaction
GSM +216 20 20 00 05




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4-6new Masters program in Natural Language Processing and Data Science - Computer Science, Speech, Language, and Knowledge Representation at University of Lorraine, Nancy, France

The Institute of Digital Sciences, Management and Cognition at the University of Lorraine
(Nancy, France) opens a new Masters program in Natural Language Processing and Data
Science - Computer Science, Speech, Language, and Knowledge Representation

http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/

Do you want to become an expert in Deep Neural Networks, Logic, Speech Processing,
Information Retrieval, Knowledge Representation, ? all of this for Natural Language?
Here's your chance!

Natural Language Processing (NLP) is at the crossroads of linguistics, computer science,
and artificial intelligence. We propose a modern curriculum which combines different
approaches covering both theoretical and applied perspectives.

The program includes a hands-on project in each semester. It ends with a 6-month paid
internship in a company or a research lab.

See the course description below.


----------------------------------------------------------------------------------------
You can apply for the 1st year (M1) or for directly entering the 2nd year (M2).
----------------------------------------------------------------------------------------

Language
-------------
All courses are taught in English (except the 'French for non-native speakers' course).


Fees
-------
The University of Lorraine is publicly funded and therefore offers tuition-free education
for all students including students from both inside and outside EU/EEA/EFTA countries.
The only student expenditures are a nominal semester fee of about 600 euros which
includes health insurance. Nancy?s high quality of life goes hand-in-hand with a low cost
of living.


Why Nancy?
---------------
Nancy is a center of excellence for NLP!

1/Two important research centers:
- LORIA, the computer science research laboratory (http://www.loria.fr/en/)
- ATILF the linguistics research laboratory (http://www.atilf.fr/)

Both research units participate in many national and international research projects.
Their members are highly visible in the international community and regularly publish in
the most prestigious conferences and journals in the field.

2/ The University of Lorraine participates in two Erasmus Mundus Masters funded by the
European Union :
- Erasmus Mundus Master Language and Communication Technology (http://lct-master.org/)
- Erasmus Mundus Master EMLex (https://www.emlex.phil.fau.eu/)


Why NLP?
--------------
Natural Language Processing is a rapidly expanding field.

With the proliferation of digital data, there is a massive need for well-trained
engineers and researchers able to exploit this data for commercial (e-commerce,
recommendation systems, translation, etc) and socio-political (e-learning, opinion
mining, behavioral prediction, etc.) purposes.

Start-ups, small firms with strong R&D profiles and large companies (e.g., in France,
Airbus, Thales, EDF, Orange) are looking for scientists and engineers who can contribute
to the development of systems capable of managing and exploiting textual data.

The GAFAM (Google, Amazon, Facebook, Apple, Microsoft) are hiring intensively in both the
NLP and the Speech processing domains.

The need for PhD candidates is also strong as shown by the many PhD scholarships offered
by both academic and industrial players.


Contacts
------------
Head of the MSc program:
        Maxime Amblard <maxime.amblard@univ-lorraine.fr>
Secretary:
        Karine Weisse <karine.weisse@univ-lorraine.fr>
Location of the courses :
        École des Mines (Artem Campus, Tram stop 'Blandan')
        http://www.alliance-artem.fr/


Application
---------------
The application file is available here:
https://ecandidat.univ-lorraine.fr

More information:
http://institut-sciences-digitales.fr/application-process-nlp-master-degree/#application


Academic Year 2018-2019
-----------------------------------
From September 3rd to 13th, 2018: Refresher courses in mathematics (probability theory,
statistics) and computer science (algorithms, programming)

M1:
        1st semester from September 17th to January 11th
        2nd semester from January 14th to June 6th
M2:
        1st semester from September 17th to February 15th
        Internship from February to August


In brief
----------
? A program with strong national and international visibility
? Taught entirely in English
? A high quality research environment with two research centers covering a wide range of
disciplines (linguistics, computer science, speech and language processing) and
applications (Human-Machine Interfaces, Speech Processing, Knowledge Retrieval,
Statistical Machine Translation, etc.)
? Studies in a vibrant, human-sized city
? Studies at a low cost (Tuition fees at around 600 euros per year incl. health insurance)


Course Description
---------------------------
M1 1st Semester
---------------------------
PROBABILITIES, STATISTICS AND ALGORITHMS FOR AI
        ? Elementary mathematical tools, statistics, algorithms to define and solve
artificial intelligence problems
        ? Case studies covering both theoretical and practical aspects

CORPUS DESIGN AND ACQUISTION
        ? Written corpora
        ? Speech corpora

SOFTWARE ENGINEERING
        ? Collection, analysis and formalization of customers' needs
        ? Software design and development
        ? Functional analysis and specifications
        ? Project management

LINGUISTICS FOR NLP (1)
        ? Methods for Natural Language Processing
        ? Phonology
        ? Morphology

PROJECT AND FOREIGN LANGUAGE
        ? Hands-on project
        ? Foreign language (French)

---------------------------
M1 2nd Semester
---------------------------
MACHINE LEARNING AND SEMANTIC WEB
        ? Machine learning theory
        ? Data mining
        ? Knowledge retrieval

FORMAL TOOLS
        ? Logic
        ? Formal languages
        ? Calculability and complexity

DATA PROCESSING
        ? Storage and retrieval
        ? Data analysis

LINGUISTICS FOR NLP (2)
        ? Lexicology: lexical units and phraseology
        ? Syntax
        ? Semantics

PROJECT AND FOREIGN LANGUAGE
        ? Hands-on project
        ? Scientific communication
        ? Foreign language (French)

---------------------------
M2 1st Semester
---------------------------
DEEP LEARNING AND DATA MINING
        ? Neural networks, Deep neural networks
        ? Data mining (structured data and text)
        ? Collaborative filtering

TEXT AND SPEECH PROCESSING
        ? Processing textual data
        ? Speech processing
        ? Terminology and ontology

NATURAL LANGUAGE PROCESSING AND DISCOURSE
        ? Application to text
        ? Computational semantics
        ? Discourse and Dialog modeling

LEXICONS AND GRAMMARS FOR NLP
        ? Diachronic and synchronic lexicology
        ? Lexical resources
        ? Syntactic framework

PROJECTS AND FOREIGN LANGUAGE
        ? Software project
        ? Law and ethics
        ? Research methods
        ? Professional integration
        ? Foreign language (French)

---------------------------
M2 2nd Semester
---------------------------
Paid internship (company or research lab)

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