CLASP Centre for Linguistic Theory and Studies in Probability, at University of Gothenburg has several (2-3 year) postdoctoral positions in computational linguistics and/or natural language processing.
Application deadline on June 1, 2023 23:59 (CEST, UTC+2) For details please see here https://www.gu.se/en/work-at-the-university-of-gothenburg/vacancies
If you are interested in the project on grounding language in vision and/or robotics, please contact me at simon.dobnik(a)gu.se
Project description: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…
I am looking for candidates with a strong background in computational linguistics, natural language processing and machine learning, ideally with experience with computational semantics, language modelling and working with multi-modal representations.
Best regards,
Simon
—
Simon Dobnik
Professor of Computational Linguistics
CLASP & FLoV, University of Gothenburg
https://www.gu.se/en/about/find-staff/simondobnik
SEBD 2023 - Taste of Time Award
31st Symposium on Advanced Database System
Call for Nominations
Nominations Due: 5 June 2023
Nomination Form: https://forms.gle/e8oXRbSa1aHiAWJt6
SEBD 2023 Web site: https://sebd2023.dei.unipd.it/
------------------------------------
## THE AWARD ##
SEBD (Symposium on Advanced Database System) is the major annual event of
the Italian database research community. It is thought of as a gathering
forum to meet, discuss, and exchange experiences among all people from
academia and industry who are interested in database systems and in all
their broad range of applications.
SEBD 2022 marked the 30th edition, a remarkable achievement, representing a
tangible trace of the scientific contributions of the Italian database
community, its evolution over a long period of time, and its liveliness. To
celebrate this achievement, SEBD 2022 introduced the “Taste of Time” Award
(TTA) whose purpose is to recognize seminal contributions and to retrace
the history of the Italian database community by selecting significant (AND
TASTY 😁) papers from past editions of SEBD.
SEBD 2023 continues this brand new tradition and calls for nominations for
the TTA 2023!
The ultimate goal of the TTA is to keep the tradition of the SEBD community
alive, to contextualize the most important research lines and make sense of
their evolution, and to inspire new generations of researchers by
discussing how key challenges have been addressed, which ones are still
open, and what can follow-up from them.
## CRITERIA ##
The SEBD Steering Committee will select papers based on the following
impact criteria
-
impact within (a subarea of) the database research community
-
impact outside of the database research community
-
impact on the non-research community
Papers eligible for the TTA are either original research published at SEBD
or extended abstracts of papers published in main venues for the database
community.
In both cases evidence about the impact of the paper (or related paper, in
case of extended abstracts) has to be provided, e.g., follow-up works
(papers, systems, …), new theories and models, social and/or industrial
impact, citations, …
The TTA will consider, each year, a scrolling window of 3 years, starting
from the first SEBD 1993, from which to select papers for the TTA.
The SEBD community is very welcome to nominate papers deemed deserving of
the TTA. Eligible papers for this round are those published in
-
2nd SEBD 1994: Rimini, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1994.html
-
3rd SEBD 1995: Ravello, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1995.html
-
4th SEBD 1996: Pisa, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1996.html
## NOMINATION PROCEDURE ##
Nominators are asked to fill in the following form
https://forms.gle/e8oXRbSa1aHiAWJt6
by **5 June 2023** at the latest.
The form asks for contact details of the nominator, plus the title and
authors of the nominated paper and a statement explaining the motivation
for the nomination.
Each nominator can nominate more than one paper, filling in the form once
for each nominated paper. Similarly, the same paper can be nominated by
more than one nominator. Nominators cannot belong to the same research
group as nominated papers, which also excludes self-nominations.
## QUESTIONS AND FURTHER INFORMATION ##
For any questions and/or additional information, please contact Maristella
Agosti <maristella.agosti(a)unipd.it>
--
Stefano Marchesin, PhD
Postdoctoral Researcher
Information Management Systems (IMS) Group
Department of Information Engineering
University of Padua
Via Gradenigo 6/a, 35131 Padua, Italy
Home page: http://www.dei.unipd.it/~marches1/
--
Apologies for cross-posting.
--
Have you recently completed or expect very soon an MSc or equivalent degree
in computer science, artificial intelligence, computational linguistics,
engineering, or a related area? Are you interested in carrying out research
on automatic translation during the next few years? Are you excited to
spend a part of your life in a pleasant city in the heart of the Italian
Alps?
WE ARE LOOKING FOR YOU!!!
The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group
at Fondazione
Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with
the ICT International Doctorate School of the University of Trento
<https://iecs.unitn.it/> is pleased to announce the availability of the
following fully-funded PhD position:
TITLE: Integrative Machine Translation
DESCRIPTION:
The advent of foundation models has introduced unprecedented opportunities
in all areas of natural language processing. Automatic translation (be it
speech or text translation) is no exception, with a wide variety of
language directions, domains and application scenarios whose coverage is no
longer a mere utopia. Although conditions today are more favourable than in
the past, open challenges still exist in terms of fully exploiting the
power of the available models, increasing their flexibility to integrate
diverse input types, or constraining the output to meet specific
application requirements. Open questions include: how to feed non-symbolic
models with symbolic information describing the context of a translation
request? How to supply meta-information about target users? How to
integrate model capabilities with external information from structured
knowledge bases? How to condition the output to specific target
applications? This PhD aims to explore state-of-the-art solutions to tackle
these challenges, with a special focus on the integration of multimodal
information (e.g. contextual information supplied as visual cues),
user-specific constraints (e.g. for gender/formality control), and
application-specific constraints (e.g. structural requirements as in the
case of video subtitling).
CONTACTS: negri(a)fbk.eu, bentivo(a)fbk.eu
COMPLETE DETAILS AVAILABLE AT:
https://iecs.unitn.it/education/admission/call-for-application
IMPORTANT DATES:
The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST)
Prospective candidates are strongly invited to contact us in advance for
preliminary interviews. Precedence for interviews will be given to
short-listed candidates that will send us a complete CV via email (
negri(a)fbk.eu, bentivo(a)fbk.eu) by May 18, 2022.
Candidate profile
The ideal candidate must have recently completed or expect very soon an MSc
or equivalent degree in computer science, artificial intelligence,
computational linguistics, engineering, or a closely related area. In
addition, the applicant should:
-
Have an interest in Machine and Speech Translation
-
Have experience in deep learning and machine learning, in general
-
Have good programming skills in Python and experience in PyTorch
-
Enjoy working with real-world problems and large data sets
-
Have good knowledge of written and spoken English
-
Enjoy working in a closely collaborating team
Working Environment
The doctoral student will be employed at the MT group at Fondazione Bruno
Kessler, Trento, Italy. The group (about 10 people including staff and
students) has a long tradition in research on machine and speech
translation and is currently involved in several projects. Former students
are nowadays employed in leading IT companies in the world.
Benefits
Fondazione Bruno Kessler offers an attractive benefits package, including a
flexible work week, full reimbursement for conferences and summer schools,
a competitive salary, an excellent team of supervisors and mentors, help
with housing, full health insurance, the possibility of Italian courses,
and sporting facilities.
Further Information
For preliminary interviews, and should you need further information about
the position, please contact Matteo Negri (negri(a)fbk.eu) and Luisa
Bentivogli (bentivo(a)fbk.eu).
Best Regards,
Matteo Negri
--
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Dear all,
here’s a call for papers for a special issue of Zeitschrift für digitale Geisteswissenschaften! (German version see: https://zfdg.de/cfp-sonderband-2023)
Neither “Fail” nor “Hymn”: Non-decisive Valuation of Literature in the Digital Sphere
The aim of the planned special issue of the Zeitschrift für digitale Geisteswissenschaften is to shed more light on the phenomenon of non-decisive literary valuation under the auspices of the digital transformation, using various approaches and concrete case studies. The call emerged from a panel at the 27th Germanistentag in 2022.
Theme
Today, millions of readers evaluate literature using a variety of digital apps and Internet platforms. The spectrum ranges from the awarding of stars and likes to detailed reviews and the rewriting and rewriting practices of fan fiction. Here, the digital space opens up a new kind of evaluation practice beyond the premises of professional literary criticism. Especially non-decisive acts of evaluation, which occupy a middle position between the rating poles, allow a differentiated weighing of weaknesses and strengths of the evaluated text and at the same time enable the exploration of the evaluation process itself. Examples of non-decisive evaluative acts include the use of ordinal middle positions ('three out of five stars'), ambivalent reviews that juxtapose both positive and negative aspects of a work, or the transformative practice of fan fiction that takes up and reuses selected aspects of source texts while ignoring others.
Rather fuzzy middle positions open up interesting dimensions of analysis with uncertainty and ambivalence. Moreover, valuing always means referencing: so what role do practices of comparison play in non-decisive valuations? In the digital space, both the expertise of the wreaders and the media conditions of literary platforms such as Wattpad, Goodreads, and other social media such as TikTok and YouTube come into focus.
Central here seem to be both the underlying axioms on the level of content, form, and effect of evaluation and their linguistic expression, as well as aspects of social action and the mediality of evaluation practices – for example, the social function of the mostly peer-supported wreaders’ communities and the digital materiality of the platforms.
Possible topics are:
(comparative) analysis of non-decisive valuation(s) on selected wreading or reviewing platforms.
(linguistic, semiotic, pictorial, etc.) signs of non- decisive valuation acts
Scales, frames of reference, and manifestations of non- decisive valuation practices
Non-decisive value practices in historical comparison
Non-decisive value and social value practices in the digital space
Non-decisive valuing as a way of participating in the discourse on literature
The relationship between uncertainty and ambiguity in literary evaluation
Mediality of non-decisive valuation practices in the digital space
Structure of the Special Issue
Special focus is given to studies from the field of Digital Humanities that use computer-based methods. Contributions can be written in German or English.
The planned publication venue is the Zeitschrift für digitale Geisteswissenschaften; accepted contributions will be published as a digital special issue under Open Access conditions and reviewed in Open [Public] Peer Review (post publication).
Papers may be submitted in the following categories:
Long Papers
Contributions on theoretical and methodological questions as well as critical debates on epistemological horizons of the described topic complex in the context of the Digital Humanities.
Present research results or projects in detail and put them up for discussion, or deal with overarching issues.
Length: 5,000 to 10,000 words
Project Presentations
Present and discuss concrete projects on the topic and place them in the research context.
Length: 2,000 to 5,000 words
Data Papers
Accompany the publication of research data on the subject complex, which are published either in the research data repository of the Herzog August Bibliothek / the MWW or externally (in compliance with the FAIR principles)
Present in detail the underlying questions, collection methods, and potential horizons of use and their limitations of the research data and place them in the research context
Length: up to 10,000 words
Please note that with this new (English, more international) call the new deadline for full papers is 31 AUGUST (please disregard the date on https://zfdg.de/cfp-sonderband-2023). Please send us your abstract by 18 MAY (500 words).
Do not hesitate to approach us with any questions.
Very best,
Maria Kraxenberger & Berenike Herrmann
Prof. Dr. Berenike Herrmann
German Literature / Digital Humanities
Bielefeld University
https://jberenike.github.io/
Acting Chair SCC Collections NFDI text+ (National Research Data Infrastructure, Consortium text+)
Speaker BiLinked CoP Data Literacy
Principal Investigator SNF-Project “High Mountains Low Arousal? Distant Reading Topographies of Sentiment in German Swiss Novels in the early 20th Century”
Principal Investigator SFB1288 Project “Vergleichspraktiken in der Genese, Verstetigung und Transformation von ‘Nationalliteratur’. Der Fall Deutschschweiz”
Final CfP: SemInOrgCom: Semantics in Organisational Communication
https://sodestream.github.io/seminorgcom/
June 20th, Nancy, France
Co-located with IWCS 2023
Important dates:
Regular and non-archival submissions:
* May 5th (extended from April 14th) Submission deadline
* June 2nd (extended from May 12th) Notification of acceptance
* June 9th Camera ready deadline for regular papers
Workshop:
* 20th Jun Workshop date
Keynote speakers:
Dr. Colin Perkins (University of Glasgow; chair, Internet Research Task
Force)
Prof. Magda Osman (University of Cambridge, Research and Analysis Centre
for Science and Policy)
Workshop description:
Interaction and communication are at the heart of every organisation, from
small to large, and take many forms: email, group messaging applications,
face-to-face and online meetings of various sizes, and others. Insights
into how people express complex issues, discuss their own and others’
intentions and make decisions could help make these processes more
efficient and/or transparent and lead to a range of assistive tools.
However, the group interaction involved is often at a scale between the
small scales usually assumed in computational semantics or dialogue
modelling, and the very large scales usually studied in social networks.
The organisational nature also brings important factors that affect
language and the meaning expressed or understood – explicit or implicit
hierarchy, shared or disputed goals, and social groupings with competitive
or collaborative agendas – well known in other disciplines but not often
taken into account in computational semantics. The computational
linguistics community has looked at various relevant phenomena and tasks
(e.g., meeting summarization, intention detection, intention detection,
argument mining, agreement/disagreement detection, persuasiveness
detection), and some relevant datasets have been produced (e.g., the Enron
email dataset). However, there are still relatively few attempts and few
resources or approaches to semantics in organisational communication in
general. This workshop aims to fill this gap to model, analyse and
understand overall organisational communication, and encourage
collaboration between researchers from diverse backgrounds, including
computational linguistics, organisational psychology, and computational
social science.
Main topics:
We welcome work broadly in the area of natural language processing,
computational linguistics, computational social science, sociolinguistics,
organisational psychology, and related fields with the aim of better
understanding organisational communication. Cross-disciplinary
collaborations between computer scientists and other social scientists in
order to reach richer insights are especially welcome. We also encourage
contributions that address multilingual settings as well as low-resource
languages. The workshop topics include but are not limited to:
* Summarization of meetings and other organisational communication
* Models of argument, (dis)agreement and decision-making
* Analysis of influence, persuasiveness and power relations
* Effects of organisational culture and hierarchy
* Communication across different modalities and timescales
* Differences between organisational communication and other forms of
communication
* Datasets and annotation schemas for organisational communication
* Social network analysis in organisations as applied to communication
* Diachronic analysis of organisational communication
* Application and adaptation of NLP models to organisational communication.
Format:
Regular submissions (long and short)
Authors are invited to submit full papers of up to 8 pages of content and
short papers of up to 4 pages of content, with unlimited pages for
references. Accepted papers will be given an additional page of content to
address reviewer comments and will be published in the ACL Anthology.
Previously published papers cannot be accepted. Dual submissions are
allowed; papers that are currently undergoing review at other venues are
welcome but must declare this on submission.
Non-archival submissions
We welcome two types of non-archival submissions. First, you can submit an
extended abstract of work not published elsewhere. These can include
position papers, or early-stage work that would benefit from peer feedback.
Second, work previously accepted/published elsewhere, along with details
about the venue or journal where it is accepted, and a link to the archived
version, if available. In both cases there are no page limits, or
style/anonymity requirements, and the submissions will be reviewed only for
the fit to the workshop theme. Papers accepted as non-archival will be
given an opportunity to present the work at the workshop but will not be
published in the ACL Anthology (they will be available on the workshop
website).
Hackathon submissions
An active, experimentation-based track where hackathon-type online
activities precede the workshop, and teams/individuals present their work
in the workshop. The hackathon organisers will provide data, task
suggestions, and periodic feedback. Though, participants are free to work
on any relevant task or dataset during their hackathon project. Hackathon
activities are by design online, while the rest of the workshop will be in
person. Hackathon participants are invited (but not required) to submit a
system description paper (up to 4 pages + unlimited pages for references);
authors will be able to choose whether these are published in the ACL
anthology.
Journal special issue
After the workshop, we will explore the possibility of inviting selected
authors to submit a paper to a special issue of the Dialogue & Discourse
journal. The journal submissions would undergo further review, and the
paper should be substantially different from the original work.
Submission instructions:
Similar to IWCS, regular submissions should be fully anonymous to ensure
double-blind reviewing. All submissions should follow the IWCS conference
template (see https://iwcs2023.loria.fr/call-for-papers/)
Submission link: https://softconf.com/iwcs2023/seminorgcom/
Program committee:
Ignacio Castro, Queen Mary University of London
Goran Glavaš, University of Würzburg
Patrick Healey, Queen Mary University of London
Mladen Karan, Queen Mary University of London
Stephen McQuistin, University of Glasgow
Paul Piwek, Open University
Matthew Purver, Queen Mary University of London and Jožef Stefan Institute
Ravi Shekhar, University of Essex
Muskaan Singh, Ulster University
Gareth Tyson, Hong Kong University of Science of Science and Technology
Andreas Vlachos, University of Cambridge
Ivan Vulić, University of Cambridge
(more TBA)
--
Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/
Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/
Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/
School of Electronic Engineering and Computer Science
Queen Mary University of London, London E1 4NS, UK
*My working days for QMUL are Monday-Wednesday; responses to mail on other
days may be delayed.*
The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…
The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads.
Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>.
Isabelle Augenstein, Dr. Scient., Ph.D.
Professor and Head of the NLP Section, Department of Computer Science (DIKU)
Co-Lead, Pioneer Centre for Artificial Intelligence
University of Copenhagen
Østervold Observatory
Øster Voldgade 3
1350 Copenhagen
augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk>
http://isabelleaugenstein.github.io/
The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…
The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads.
Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>.
Isabelle Augenstein, Dr. Scient., Ph.D.
Professor and Head of the NLP Section, Department of Computer Science (DIKU)
Co-Lead, Pioneer Centre for Artificial Intelligence
University of Copenhagen
Østervold Observatory
Øster Voldgade 3
1350 Copenhagen
augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk>
http://isabelleaugenstein.github.io/
Dear colleagues,
This year, FinNLP-2023 will be in conjunction with IJCAI-2023 on 20th
August 2023, Macao. This year, we organize a Joint Workshop of The 5th
Financial Technology And Natural Language Processing (*FinNLP*) and
2nd *Multimodal
AI For Financial Forecasting* (Muffin). Thus, papers related to NLP or
multimodal AI in finance are welcome.
This year, we have a shared task related to *multilingual ESG issue
identification*. Registration is open now, and the datasets are released. Now,
we have over 20 teams registered. Welcome to join us!
Please refer to our website for more details - FinNLP-2023:
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2023/home
*Submission Deadline (Extended): May 11, 2023*
Accepted papers proceedings will be published at ACL Anthology. (
https://aclanthology.org/venues/finnlp/)
Best Regards,
FinNLP and Muffin Organizers
*Topics*This workshop will hold a research track and two shared tasks. The
research track aims to explore recent advances and challenges of NLP &
multimodal AI for finance. Researchers from artificial intelligence,
computer vision, speech processing, natural language processing, data
mining, statistics, optimization, and other fields are invited to submit
papers on recent advances, resources, tools, and challenges on the broad
theme of Multimodal AI for finance. The topics of the workshop include but
are not limited to the following:
- Transformer models / Self-supervised / Transfer Learning on Financial
Data
- Machine Learning for Finance
- Natural Language Processing and Speech Applications for Finance
- Conversational dialogue modeling for Financial Conference Calls
- Social media and User NLP for Finance
- Entity extraction and linking, Named-entity recognition, information
extraction, relationship extraction, ontology learning in financial
documents
- Financial Document Processing
- Multi-modal financial knowledge discovery
- Financial Event detection from Multimedia
- Visual-linguistic learning for financial video analysis
- Video understanding (human behavior cognition, topic mining, facial
expression detection, emotion detection, deception detection, gait and
posture analysis, etc.)
- Data annotation, acquisition, augmentation, feature engineering, for
financial/time-series analysis
- Bias analysis and mitigation in financial models and data
- Statistical Modeling for Time Series Forecasting
- Interpretability and explainability for financial AI models
- Privacy-preserving AI for finance
*Submission*
Authors are invited to submit their unpublished work that represents novel
research. The papers should be written in English using the IJCAI-23 author
kit and follow the IJCAI 2023 formatting guidelines. Authors can also
submit the supplementary materials, including technical appendices, source
codes, datasets, and multimedia appendices. All submissions, including the
main paper and its supplementary materials, should be fully anonymized. For
more information on formatting and anonymity guidelines, please refer to
IJCAI 2023 call for papers page.
- Short Paper: Up to 4 pages of content including the references. Upon
the acceptance, the authors are provided with 1 more page to address the
reviewer's comments.
- Long Paper: Up to 8 pages of content including the references. Upon
the acceptance, the authors are provided with 1 more page to address the
reviewer's comments.
We invite you to take part in *CLEF 2023 LongEval: Longitudinal Evaluation
of Model Performance shared task.*
*Updated Timelines:*
--------------------------------
Deadline for registration: 21st May 2023
Test Data release: 4th May 2023
Submissions Due: 22nd May 2023
*You can now directly register on the Codalab website: *
https://codalab.lisn.upsaclay.fr/competitions/12762
*Join the Slack channel*:
https://join.slack.com/t/longeval/shared_invite/zt-1tmql633q-w20e3oNq157bkh…
The CLEF 2023 LongEval lab is motivated by recent research showing that the
performance of information retrieval and text classification models drops
as the test data becomes more distant in time from the training data.
*LongEval-Classification:* The goal of Task 2 is to propose a temporal
persistence classifier which can mitigate performance drop over short and
long periods of time compared to a test set from the same time frame as
training.
Organisers
------------------------------------------------------------
Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados,
Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela
Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria
Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina
Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.