[Corpora-List] 2 researcher positions at the University of Cambridge, NLP / ML for education technology

[Andrew Caines via Corpora]

The Cambridge Institute for Automated Language Teaching and Assessment
(ALTA) is seeking two Research Assistants or Research Associates in Natural
Language Processing and Machine Learning to join their strong team of
researchers in the Department of Computer Science and Technology.

ALTA is a virtual institute which brings together researchers from Computer
Science, Engineering, Linguistics and Language Assessment to investigate
new ways of using technology to enhance language learning and to develop
cutting-edge approaches to assessment which will benefit learners and
teachers worldwide.

The successful applicant will be working in EdTech based on LLM technology
and will focus on at least one of the following areas: automated assessment
of language learners, explainable models of assessment, learning-content
generation, or adaptive learning. In all cases, the candidate must have a
directly relevant PhD (or must be close to completion). The candidate is
expected to have knowledge and experience of computational techniques
relevant to natural language processing and machine learning, including an
understanding and experience with pre-trained language models. The
candidate will need to be confident communicating in cross-disciplinary
forums.

Further information: https://www.jobs.cam.ac.uk/job/40995/
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[Corpora-List] TOC: Journal of Language Modelling 10(2)

[Adam Przepiórkowski via Corpora]

It is our pleasure to announce the publication of issue 10(2) of the
Journal of Language Modelling (JLM), a free open-access peer-reviewed
journal aiming to bridge the gap between theoretical, formal and
computational linguistics:

http://jlm.ipipan.waw.pl/ (see “CURRENT” or “ALL ISSUES”).

The direct persistent link to this issue is:

http://jlm.ipipan.waw.pl/index.php/JLM/issue/view/28.

JLM is indexed by SCOPUS, ERIH PLUS, DBLP, DOAJ, etc., and it is a member
of OASPA.

TABLE OF CONTENTS:

Articles:

“Idiosyncratic frequency as a measure of derivation vs. inflection”
Maria Copot, Timothee Mickus, Olivier Bonami
193–240

“Simplicity and learning to distinguish arguments from modifiers”
Leon Bergen, Edward Gibson, Timothy J. O'Donnell
241–286

“Neural heuristics for scaling constructional language processing”
Paul Van Eecke, Jens Nevens, Katrien Beuls
287–314

Acknowledgments:

“External Reviewers 2019–2022”
315–318

The current make-up of the JLM Editorial Board is enclosed below.

Best regards,
Adam Przepiórkowski (JLM Editor-in-Chief)


==

EDITORIAL BOARD:

Steven Abney, University of Michigan, USA
Ash Asudeh, University of Rochester, USA
Chris Biemann, Universität Hamburg, GERMANY
Igor Boguslavsky, Technical University of Madrid, SPAIN; Institute for
Information Transmission Problems, Russian Academy of Sciences, Moscow,
RUSSIA
António Branco, University of Lisbon, PORTUGAL
David Chiang, University of Southern California, Los Angeles, USA
Greville Corbett, University of Surrey, UNITED KINGDOM
Dan Cristea, University of Iași, ROMANIA
Jan Daciuk, Gdańsk University of Technology, POLAND
Mary Dalrymple, University of Oxford, UNITED KINGDOM
Darja Fišer, University of Ljubljana, SLOVENIA
Anette Frank, Universität Heidelberg, GERMANY
Claire Gardent, CNRS/LORIA, Nancy, FRANCE
Jonathan Ginzburg, Université Paris-Diderot, FRANCE
Stefan Th. Gries, University of California, Santa Barbara, USA
Heiki-Jaan Kaalep, University of Tartu, ESTONIA
Laura Kallmeyer, Heinrich-Heine-Universität Düsseldorf, GERMANY
Jong-Bok Kim, Kyung Hee University, Seoul, KOREA
Kimmo Koskenniemi, University of Helsinki, FINLAND
Jonas Kuhn, Universität Stuttgart, GERMANY
Alessandro Lenci, University of Pisa, ITALY
Ján Mačutek, Comenius University in Bratislava, SLOVAKIA
Igor Mel’čuk, University of Montreal, CANADA
Glyn Morrill, Technical University of Catalonia, Barcelona, SPAIN
Stefan Müller, Humboldt Universität zu Berlin, GERMANY
Mark-Jan Nederhof, University of St Andrews, UNITED KINGDOM
Petya Osenova, Sofia University, BULGARIA
David Pesetsky, Massachusetts Institute of Technology, USA
Maciej Piasecki, Wrocław University of Technology, POLAND
Christopher Potts, Stanford University, USA
Louisa Sadler, University of Essex, UNITED KINGDOM
Agata Savary, Université François Rabelais Tours, FRANCE
Sabine Schulte im Walde, Universität Stuttgart, GERMANY
Stuart M. Shieber, Harvard University, USA
Mark Steedman, University of Edinburgh, UNITED KINGDOM
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa, CANADA
Shravan Vasishth, Universität Potsdam, GERMANY
Zygmunt Vetulani, Adam Mickiewicz University, Poznań, POLAND
Aline Villavicencio, Federal University of Rio Grande do Sul, Porto Alegre,
BRAZIL
Veronika Vincze, University of Szeged, HUNGARY
Yorick Wilks†, Florida Institute of Human and Machine Cognition, USA
Shuly Wintner, University of Haifa, ISRAEL
Zdeněk Žabokrtský, Charles University in Prague, CZECH REPUBLIC

==


Adam Przepiórkowski  ˈadam ˌpʃɛpjurˈkɔfskʲi
http://clip.ipipan.waw.pl/  Computational Linguistics in Poland
http://jlm.ipipan.waw.pl/ ___ Journal of Language Modelling
http://zil.ipipan.waw.pl/  Linguistic Engineering Group
http://nkjp.pl/ _ National Corpus of Polish
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[Corpora-List] Early Registration Extension 28th May - IWCS 2023

[Maxime Amblard via Corpora]

**apologies for cross-postings**

= Call for Participation - IWCS 2023 =

  Early Registration Extension: -> 28th May 2023
https://iwcs2023.loria.fr/registration/



15th International Conference on Computational Semantics (IWCS)

Universit?? de Lorraine, Nancy, France

20-23th June 2023

  http://iwcs2023.loria.fr/


IWCS is the biennial meeting of SIGSEM [1], the ACL special interest
group on semantics [2]; this year's edition is organized in person by the
Loria [3] and IDMC [4] of the Universit?? de Lorraine.

  [1] http://sigsem.org/
  [2] http://aclweb.org/
  [3] https://www.loria.fr/fr/
  [4] http://idmc.univ-lorraine.fr/

The aim of the IWCS conference is to bring together researchers
interested in any aspects of the computation, annotation, extraction,
representation and neuralisation of meaning in natural language,
whether this is from a lexical or structural semantic perspective.
IWCS embraces both symbolic and machine learning approaches to
computational semantics, and everything in between. The conference
and workshops will take place 20-23 June 2023.


=== TOPICS OF INTEREST ===

We invite paper submissions in all areas of computational semantics, in
other words all computational aspects of meaning of natural language within
written, spoken, signed, or multi-modal communication.

Presentations will be oral and posters.

Submissions are invited on these closely related areas, including the
following:

* design of meaning representations
* syntax-semantics interface
* representing and resolving semantic ambiguity
* shallow and deep semantic processing and reasoning
* hybrid symbolic and statistical approaches to semantics
* distributional semantics
* alternative approaches to compositional semantics
* inference methods for computational semantics
* recognising textual entailment
* learning by reading
* methodologies and practices for semantic annotation
* machine learning of semantic structures
* probabilistic computational semantics
* neural semantic parsing
* computational aspects of lexical semantics
* semantics and ontologies
* semantic web and natural language processing
* semantic aspects of language generation
* generating from meaning representations
* semantic relations in discourse and dialogue
* semantics and pragmatics of dialogue acts
* multimodal and grounded approaches to computing meaning
* semantics-pragmatics interface
* applications of computational semantics


=== SUBMISSION INFORMATION ===


Two types of submission are solicited: long papers and short papers. Both
types should be submitted not later than 3 March (anywhere on earth).

Long papers should describe original research and must not exceed 8 pages
(not counting acknowledgements and references).
Short papers (typically system or project descriptions, or ongoing research)
must not exceed 4 pages (not counting acknowledgements and references).

Both types will be published in the conference proceedings and in the ACL
Anthology. Accepted papers get an extra page in the camera-ready version.

Style-files:

IWCS papers should be formatted following the common two-column structure
as used by ACL. Please use our specific style-files or the Overleaf template, 
taken
from ACL 2021. Similar to ACL 2021, initial submissions should be fully 
anonymous
to ensure double-blind reviewing.

Submitting:

Papers should be submitted in PDF format via Softconf:

https://softconf.com/iwcs2023/papers

Please make sure that you select the right track when submitting your paper.
Contact the organisers if you have problems using Softconf.

No anonymity period

IWCS 2023 does not have an anonymity period. However, we ask you to be
reasonable and not publicly advertise your preprint during (or right before) 
review.


=== IMPORTANT DATES ===

22 March 2023 (anywhere on earth) Paper submissions

17 April 2023 Decisions sent to authors

20-23 June 2023 IWCS conference


=== CONTACT ===

For questions, contact: iwcs2023-cont...@univ-lorraine.fr


Maxime Amblard, Ellen Breithloltz (the IWCS 2023 organizers)
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[Corpora-List] IACT’23@SIGIR: Human or AI? Last CFP

[Hugo Oliveira Sousa via Corpora]

*** Apologies for cross-posting ***

++ CFP: LAST CHANCE TO SUBMIT ++

=
The 1st International Workshop on Implicit Author Characterization from Texts 
for Search and Retrieval (IACT’23)
The workshop will be held in conjunction with the 46th International ACM SIGIR 
Conference on Research and Development in Information Retrieval.

Workshop website: https://en.sce.ac.il/news/iact23
Date: July 27, 2023
Location: Taipei, Taiwan.
Paper submission deadline: Extended to May 23, 2023, AoE
Submission link: https://easychair.org/conferences/?conf=iact23

  To bring the research community's attention to the limitations of current 
models in recognizing and characterizing AI vs. human authors, we organize the 
first edition of IACT workshops under the umbrella of the SIGIR conference. 
Research works submitted to the workshop should foster scientific advances in 
all aspects of author characterization.

Submission Guidelines:
  All papers must be original and not simultaneously submitted to another 
journal or conference. The following paper categories are welcome:

- Full research papers: up to 8 pages. Original and high-quality 
unpublished contributions to the theory and practical aspects of the workshop 
topics.
- Short research papers: up to 5 pages. It can describe ongoing research, 
resources, and demos.
- Negative results papers: up to 5 pages. Highlighting tested hypotheses 
that did not get the expected outcome is also welcomed.
- Position papers: up to 5 pages. Discussing current and future research 
directions.

  The length constraints do not include references.
  The submissions must be anonymous and will be peer-reviewed by at least two 
program committee members.

Workshop Format:
  The authors of accepted papers will be given 15 minutes for a short oral 
presentation. The workshop will run as a hybrid event to allow virtual 
attendance and meet the SIGIR format.

Workshop Topics:
  Research works submitted to the workshop should foster the scientific advance 
on all aspects of implicit author information extraction from text, including 
but not limited to the following:

- Differentiation between AI-generated content and human-generated content 
and bot profiling
- Characterization of conversational agents
- Feature detection of authors for human vs. AI determination
- Prompt understanding and recognition in language models
- Personalized question-answering and conversation generation
- Troll identification on social media
- Review authenticity estimation
- Multi-modal, multi-genre, and multilingual author analysis
- Character analysis, description, and representation in narrative texts
- Detecting implicit expressions of sentiment, emotion, opinion, and bias
- Transfer learning for implicit author characterization
- Implicit author characterization annotation schema
- Evaluation of implicit author characterization
- Author characterization in low-resource languages and under-studied 
domains
- Accountability and regulation of AI-based information extraction, 
retrieval, and content generation
- Copyright issues of AI-generated content
- Ethical and privacy implications of author characterization and implicit 
information extraction
- Fairness and bias of AI-generated content

Organizing Committee:
Marina Litvak - mari...@ac.sce.ac.il; Shamoon College of Engineering Beer 
Sheva; Israel
Irina Rabaev - iri...@ac.sce.ac.il; Shamoon College of Engineering Beer 
Sheva; Israel
Alípio Mário Jorge - amjo...@fc.up.pt; University of Porto; Porto, Portugal
Ricardo Campos - ricardo.cam...@ipt.pt; Polytechnic Institute of Tomar 
INESC TEC, Portugal; Porto, Portugal
Adam Jatowt - adam.jat...@uibk.ac.at; University of Innsbruck; Innsbruck, 
Austria

Invited Speakers:
Prof. Mark Last - Ben-Gurion University of the Negev, Israel
Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany

Contacts:
Dr. Marina Litvak: litvak.mar...@gmail.com
Dr. Irina Rabaev:  iri...@ac.sce.ac.il

All the best,
Hugo Sousa on behalf of the IATC'23 Organizers
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[Corpora-List] [First CfP] Taming Large Language Models: Controllability in the era of Interactive Assistants -- Workshop at INLG 2023

[Devamanyu Hazarika via Corpora]

First Call For Submissions

Welcome to the 1st Workshop on Taming Large Language Models:
Controllability in the era of Interactive Assistants! This workshop aims to
unite esteemed scholars, researchers, and practitioners specializing in
Natural Language Generation (NLG). This event will foster in-depth
discussions and explorations of the challenges and prospects associated
with content control in LLMs. Emphasizing the intersection of NLG research
and the instruction-learning paradigm, the workshop will serve as a
platform for fruitful collaborations and knowledge exchange. This hybrid
workshop will be co-located with INLG 2023 (
https://inlg2023.github.io/workshops.html) at Prague.

--

Important Dates

   -

   Submission deadline: June 15, 2023
   -

   Author notification: July 21, 2023
   -

   Camera-ready deadline: August 14, 2023
   -

   Workshop date: September 12, 2023

Submission Portal: https://softconf.com/n/tllm2023
Website: https://ctrlnlg.github.io/

**All deadlines are 11.59 pm AOE time.
--

Topics

We welcome submissions on one or more of the following topics:

   -

   Alignment: Investigating techniques to better align LLMs with human
   values and intentions, including reward modeling, human-in-the-loop
   systems, and quantifying alignment metrics. Understanding the objectives
   pursued by a model and aligning them with human preferences are key
   challenges. We encourage research on methods to increase alignments, such
   as through prompt design and fine-tuning.
   -

   In-context Learning: Exploring the role of context in LLMs, including
   how to improve context understanding, manage context drift, and enhance
   context-aware responses. Also, investigating the use of in-context learning
   as a control mechanism.
   -

   Instruction-based Control: Comparing  popular controlling mechanisms,
   including approaches such as logit manipulation, decoder mixing, and
   classifier guidance, amongst others, against the simpler instruction-based
   control.
   -

   Generality: Investigating controllable techniques that work across tasks
   and datasets.
   -

   Safety and Robustness: Assessing potential risks and vulnerabilities in
   LLMs, along with solutions such as adversarial training, safe exploration,
   and monitoring model behavior during deployment.
   -

   Controllability vs. Robustness: Developing methods to better understand
   LLMs' decision-making processes, and how it acts in grounded scenarios.
   Understanding its reliance on implicit vs. explicit memory.
   -

   Scalability and efficiency: Investigating novel approaches for reducing
   computational requirements for achieving control in LLMs.
   -

   Real-world applications and case studies: Showcasing successful LLM
   deployments in various fields, such as healthcare, finance, education, and
   creative industries, along with lessons learned and future opportunities.


Submissions

We welcome reports of original research in the form of two types:

   -

   Long papers (8 pages + references)


   -

   Short papers (4 pages + references)


We encourage all authors to include relevant discussions of ethical
considerations and impact in the body of the paper.

Submissions will be made via SoftConf/START: https://softconf.com/n/tllm2023


Submission Format

   -

   The proceedings will be published by ACL Anthology.
   -

   All long, short, and abstract submissions must follow the two-column ACL
   format , which are available as an Overleaf template
    and also downloadable
   directly  (Latex and Word).
   Please refer to the SIGDIAL 2023 website for the most recent version of the
   templates.
   -

   Submissions must conform to the official ACL style guidelines, which are
   contained in these templates. Submissions must be electronic, in PDF format.
   -

   All submissions should be anonymized to facilitate double blind
   reviewing.
   -

   Submissions that do not adhere to the author guidelines or ACL policies
   
will
   be rejected without review.
   -

   Appendix should be added in the main document after references. Appendix
   does not count towards the page length.


Any questions regarding submissions can be sent to
tamingllm-works...@googlegroups.com
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[Corpora-List] Job Offer: PhD Causal Machine Learning Applied to NLP and the Study of Large Language Models.

[François Portet via Corpora]

Job Offer: PhD Causal Machine Learning Applied to NLP and the Study of 
Large Language Models.

Starting date: November 1st, 2023 (flexible)
Application deadline: From now until the position is filled
Interviews (tentative):  Beginning of June and latter if the position is 
still open

Salary: ~2000€ gross/month (social security included)
Mission: research oriented (teaching possible but not mandatory)
Place of work (no remote): Laboratoire d'Informatique de Grenoble, CNRS, 
Grenoble, France


Keywords: natural language processing, causal machine learning, 
interpretability, analysis, robustness, large language models, 
controllability


Description:
Natural language processing (NLP) has undergone a paradigm shift in 
recent years, owing to the remarkable breakthroughs achieved by large 
language models (LLMs). Despite being purely "correlation machines" 
[CorrelationMachine], these models have completely altered the landscape 
of NLP by demonstrating impressive results in language modeling, 
translation, and summarization. Nonetheless, the use of LLMs has also 
surfaced crucial questions regarding their reliability and transparency. 
As a result, there is now an urgent need to gain a deeper understanding 
of the mechanisms governing the behavior of LLMs, to interpret their 
decisions and outcomes in principled and scientifically grounded ways.


A promising direction to carry out such analysis comes from the fields 
of causal analysis and causal inference [CausalAbstraction]. Examining 
the causal relationships between the inputs, outputs, and hidden states 
of LLMs, can help to build scientific theories about the behavior of 
these complex systems. Furthermore, causal inference methods can help 
uncover underlying causal mechanisms behind the complex computations of 
LLMs, giving hope to better interpret their decisions and understand 
their limitations [Rome].


Thus, the use of causal analysis in the study of LLMs is a promising 
research direction to gain deeper insights into the workings of these 
models.
As a Ph.D student working on this project, you will be expected to 
develop a strong understanding of the principles of causal inference and 
their application to machine learning, see for example the invariant 
language model framework [InvariantLM]. You will have the opportunity to 
work on cutting-edge research projects in NLP, contributing to the 
development of more reliable and interpretable LLMs. It is important to 
note that the Ph.D. research project should be aligned with your 
interests and expertise. Therefore, the precise direction of the 
research can and will be influenced by the personal taste and research 
goals of the students. It is encouraged that you bring your unique 
perspective and ideas to the table.


SKILLS
Master degree in Natural Language Processing, computer science or data 
science.

Mastering Python programming and deep learning frameworks.
Experience in causal inference or working with LLMs
Very good communication skills in English, (French not needed).

SCIENTIFIC ENVIRONMENT
The thesis will be conducted within the Getalp teams of the LIG 
laboratory (https://lig-getalp.imag.fr/). The GETALP team has a strong 
expertise and track record in Natural Language Processing. The recruited 
person will be welcomed within the team which offer a stimulating, 
multinational and pleasant working environment.
The means to carry out the PhD will be provided both in terms of 
missions in France and abroad and in terms of equipment. The candidate 
will have access to the cluster of GPUs of both the LIG. Furthermore, 
access to the National supercomputer Jean-Zay will enable to run large 
scale experiments.
The Ph.D. position will be co-supervised by Maxime Peyrard and François 
Portet.
Additionally, the Ph.D. student will also be working with external 
academic collaborators at EPFL and Idiap (e.g., Robert West and Damien 
Teney)


INSTRUCTIONS FOR APPLYING
Applications must contain: CV + letter/message of motivation + master 
notes + be ready to provide letter(s) of recommendation; and be 
addressed to Maxime Peyrard (maxime.peyr...@epfl.ch) and François Portet 
(francois.por...@imag.fr)



[InvariantLM] Peyrard, Maxime and Ghotra, Sarvjeet and Josifoski, Martin 
and Agarwal, Vidhan and Patra, Barun and Carignan, Dean and Kiciman, 
Emre and Tiwary, Saurabh and West, Robert, "Invariant Language Modeling" 
Conference on Empirical Methods in Natural Language Processing (2022): 
5728–5743


[CorrelationMachine] Feder, Amir and Keith, Katherine A. and Manzoor, 
Emaad and Pryzant, Reid and Sridhar, Dhanya and Wood-Doughty, Zach and 
Eisenstein, Jacob and Grimmer, Justin and Reichart, Roi and Roberts, 
Margaret E. and Stewart, Brandon M. and Veitch, Victor and Yang, Diyi, 
"Causal Inference in Natural Language Processing: Estimation, 
Prediction, Interpretation and Beyond" Transactions of the Association 
for Computational Linguistics (2022), 10:1138–1158.


[CausalAbstraction] Geiger, A

[Corpora-List] PhD Position on Integrative Machine Translation at Fondazione Bruno Kessler - Application deadline: *30th of May*

[Matteo Negri via Corpora]

--

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  (MT) group at
Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT
International Doctorate School of the University of Trento
 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: ne...@fbk.eu, bent...@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. Depending on the short time remaining before the
application deadline, precedence for interviews will be given to
short-listed candidates that will send us a complete CV via email (
ne...@fbk.eu, bent...@fbk.eu) by May 25, 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 (ne...@fbk.eu) and Luisa
Bentivogli (bent...@fbk.eu).

Best Regards,

Matteo Negri

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[Corpora-List] Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English)

[Loizos Michael via Corpora]

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance 
Learning, English)

The recent thrust towards explainable and trustworthy AI has provided renewed 
impetus to the design and development of AI technologies that explicitly 
acknowledge, and adapt to, the cognitive abilities and limitations of humans.

To teach the emerging paradigm of cognitively-inspired AI, the 
interdisciplinary M.Sc. Program in Cognitive Systems combines courses from 
neural/connectionist and symbolic Artificial Intelligence, Machine Learning, 
and Cognitive Psychology, to explore the fundamentals of perception, attention, 
learning, mental representation, and reasoning, in humans and machines.

The M.Sc. Program is offered jointly by two public universities in Cyprus (the 
Open University of Cyprus and the University of Cyprus) and has been accredited 
by the national Quality Assurance Agency. The program is directed by academics 
from the participating universities, and courses are offered in English via 
distance learning by an international team of instructors.

Applications for the academic year 2023-2024 are accepted until May 30th, 2023: 
https://admissions.ouc.ac.cy/

More information (and contact details) about the M.Sc. Program in Cognitive 
Systems: https://cogsys.ouc.ac.cy/

Regards,
Loizos

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[Corpora-List] Re: Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English)

[Loizos Michael via Corpora]

Apologies for the follow-up email. The URL redirection seems to be 
malfunctioning. The direct URL is:

M.Sc. Program in Cognitive Systems: 
https://www.ouc.ac.cy/index.php/en/studies/master/cos

Regards,
Loizos



From: Loizos Michael
Sent: Monday, May 22, 2023 10:42 PM
To: ml-n...@googlegroups.com ; 
connectioni...@cs.cmu.edu ; age...@cs.umbc.edu 
; Argumentation Theory List ; 
plane...@kr.org ; Neural-Symbolic Learning and Reasoning 
; 
aic-artificial-intelligence-and-cognit...@googlegroups.com 
; 
corpora@list.elra.info 
Subject: Applications accepted for the M.Sc. Program in Cognitive Systems 
(Distance Learning, English)

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance 
Learning, English)

The recent thrust towards explainable and trustworthy AI has provided renewed 
impetus to the design and development of AI technologies that explicitly 
acknowledge, and adapt to, the cognitive abilities and limitations of humans.

To teach the emerging paradigm of cognitively-inspired AI, the 
interdisciplinary M.Sc. Program in Cognitive Systems combines courses from 
neural/connectionist and symbolic Artificial Intelligence, Machine Learning, 
and Cognitive Psychology, to explore the fundamentals of perception, attention, 
learning, mental representation, and reasoning, in humans and machines.

The M.Sc. Program is offered jointly by two public universities in Cyprus (the 
Open University of Cyprus and the University of Cyprus) and has been accredited 
by the national Quality Assurance Agency. The program is directed by academics 
from the participating universities, and courses are offered in English via 
distance learning by an international team of instructors.

Applications for the academic year 2023-2024 are accepted until May 30th, 2023: 
https://admissions.ouc.ac.cy/

More information (and contact details) about the M.Sc. Program in Cognitive 
Systems: https://cogsys.ouc.ac.cy/

Regards,
Loizos

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[Corpora-List] Second Call for Task Participation: Medical NLP for Social Media and Clinical Texts (NTCIR-17 MedNLP-SC)

[Lis Kanashiro via Corpora]

  NTCIR-17 MedNLP-SC

https://sociocom.naist.jp/mednlp-sc/

Registration due: June 26, 2023

Evaluation period starts July 10, 2023





Invitation to the MedNLP-SC shared task



Continuing the series of NTCIR Natural Language Processing shared tasks and

conferences, NTCIR-17 will be held in Tokyo on December 12-15, 2023.  As in

previous editions, NTCIR-17 features the MedNLP task on medical NLP. This

year, MedNLP-SC is about Medical Natural Language Processing for Social

Media and Clinical Texts.

This task provides two types of data:

- social media (artificially created tweets) in Japanese, English, German,

and French in parallel;

- radiology reports in Japanese.

We invite you to explore the sample data at

https://sociocom.naist.jp/mednlp-sc/ and participate in the task.

---

Tasks



1) Social Media (SM) Subtask: Adverse drug event detection (ADE)

(Languages: Japanese, English, French, and German)

2) Radiology Report (RR) Subtask: TNM staging

(Language: Japanese)

More detail and examples are available at

https://sociocom.naist.jp/mednlp-sc/

--

Schedule

--

* March 2023: Train dataset initial release

* June 26, 2023: Deadline for registration

* June 26, 2023: Train dataset final release

* July 10: Test dataset release

* July 17, 2023: Deadline for submission of test runs (Formal Run)

* August 1, 2023: Evaluation results release to the participants

* August 1, 2023: Task overview paper release (draft)

* September 1, 2023: Deadline for submission of participant papers

* November 1, 2023: Deadline for camera-ready participant papers

* December 12-15, 2023: NTCIR-17 Conference (NII, Tokyo, Japan) (hybrid

event, online presentation will be available)

--

Task Registration

--

Please register on the NTCIR-17 website:

http://research.nii.ac.jp/ntcir/ntcir-17/howto.html

--

Organizers

--

(JAPAN)

Eiji Aramaki, Ph.D. (NAIST, Japan)

Yuta Nakamura, M.D. (The University of Tokyo, Japan)

Shoko Wakamiya, Ph.D. (NAIST, Japan)

Shuntaro Yada, Ph.D. (NAIST, Japan)

Lis Weiji Kanashiro Pereira, Ph.D. (NAIST, Japan)

Shouhei Hanaoka, M.D., Ph.D. (The University of Tokyo, Japan)

Gabriel Herman Bernardim Andrade  (NAIST, Japan)

Faith Wavinya Mutinda (NAIST, Japan)

Noriki Nishida, Ph.D. (RIKEN, Japan)

Tomohiro Nishiyama (NAIST, Japan)

Hiroki Teranishi, Ph.D. (RIKEN, Japan)

Narumi Tokunaga (RIKEN, Japan)

Akiko Aizawa, Ph.D. (NII, Japan)

Yuji Matsumoto, Ph.D. (RIKEN, Japan)

(FRANCE)

Cyril Grouin, Ph.D. (Université Paris-Saclay, CNRS, LISN, France)

Thomas Lavergne, Ph.D. (Université Paris-Saclay, CNRS, LISN, France)

Aurélie Névéol, Ph.D. (Université Paris-Saclay, CNRS, LISN, France)

Patrick Paroubek, Ph.D. (Université Paris-Saclay, CNRS, LISN, France)

Hui-Syuan Yeh (Université Paris-Saclay, CNRS, LISN, France)

Pierre Zweigenbaum, Ph.D. (Université Paris-Saclay, CNRS, LISN, France)

(GERMANY)

Lisa Raithel (DFKI, Germany, TU Berlin, Germany, and Université

Paris-Saclay, CNRS, LISN, France)

Roland Roller, Ph.D. (DFKI, Germany)

Philippe Thomas, Ph.D. (DFKI, Germany)

* MedNLP-SC contact: mednlp-sc[at]is.naist.jp



-- 
Lis Kanashiro Pereira
https://sites.google.com/view/lis-kp/home
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[Corpora-List] Reminder: Assistant Professor position at Chalmers University of Technology

[Richard Johansson via Corpora]

The Department of Computer Science and Engineering at Chalmers University of 
Technology invites applications for an Assistant Professor position focused on 
the theoretical foundations of AI.

https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11634&rmlang=UK

This is a tenure-track position with a starting package. NLP-oriented 
candidates are very welcome to get in touch with me 
(richard.johans...@cse.gu.se) and discuss.

The deadline for applying is *May 28*.

Best regards,
Richard Johansson
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