We are innovating university! Interdisciplinary, international and digital – these are the pillars of the University of Technology Nuremberg. The aim is to combine and interlink engineering science with other topics of society. Besides the outlined interdisciplinary approach, the university will put its emphasis on courses in English, on digital learning as well as future-oriented research. In the medium term, the university is to provide a place for learning and personal development for up to 6,000 students – on a campus combining research, learning, and living. The project is currently one of the most important higher education projects of the Free State of Bavaria (Germany).
The University of Technology Nuremberg is looking to fill, at the earliest possible date, a position as a
Professor (m/f/d) (W3) of Natural Language Processing
at the Department of Engineering.
You represent the subject Natural Language Processing in research and teaching. You will play a key role in establishing the first main research area of the Department, which will focus on "Robotics and Artificial Intelligence". Here you will collaborate, among others, with excellent international researchers from the fields of Robotics, Machine Learning, Data Science and Computer Vision. The interdisciplinary collaboration with humanities scholars and social and natural scientists at the Department of Liberal Arts and Sciences, within the topics of “Human and Artificial Intelligence” and “Rhetoric and Political Communication” is a further goal.
To find the complete advertisement follow this link: https://www.utn.de/en/career/professorships/
CoCo4MT is extended its deadline for paper submission to July 16th!
The Second Workshop on Corpus Generation and Corpus Augmentation for
Machine Translation (CoCo4MT) @MT-SUMMIT XIX
The 19th Machine Translation Summit
Sep 4-8, 2023, Macau SAR, China
https://sites.google.com/view/coco4mt
SCOPE
It is a well-known fact that machine translation systems, especially
those that use deep learning, require massive amounts of data. Several
resources for languages are not available in their human-created format.
Some of the types of resources available are monolingual, multilingual,
translation memories, and lexicons. Those types of resources are
generally created for formal purposes such as parliamentary collections
when parallel and more informal situations when monolingual. The quality
and abundance of resources including corpora used for formal reasons is
generally higher than those used for informal purposes. Additionally,
corpora for low-resource languages, languages with less digital
resources available, tends to be less abundant and of lower quality.
CoCo4MT is a workshop centered around research that focuses on manual
and automatic corpus creation, cleansing, and augmentation techniques
specifically for machine translation. We accept work that covers any
language (including sign language) but we are specifically interested in
those submissions that explicitly report on work with languages with
limited existing resources (low-resource languages). Since techniques
from high-resource languages are generally statistical in nature and
could be used as generic solutions for any language, we welcome
submissions on high-resource languages also.
CoCo4MT aims to encourage research on new and undiscovered techniques.
We hope that the methods presented at this workshop will lead to the
development of high-quality corpora that will in turn lead to
high-performing MT systems and new dataset creation for multiple
corpora. We hope that submissions will provide high-quality corpora that
are available publicly for download and can be used to increase machine
translation performance thus encouraging new dataset creation for
multiple languages that will, in turn, provide a general workshop to
consult for corpora needs in the future. The workshop’s success will be
measured by the following key performance indicators:
- Promotes the ongoing increase in quality of machine translation
systems when measured by standard measurements,
- Provides a meeting place for collaboration from several research areas
to increase the availability of commonly used corpora and new corpora,
- Drives innovation to address the need for higher quality and abundance
of low-resource language data.
Topics of interest include:
- Difficulties with using existing corpora (e.g., political
considerations or domain limitations) and their effects on final MT
systems,
- Strategies for collecting new MT datasets (e.g., via crowdsourcing),
- Data augmentation techniques,
- Data cleansing and denoising techniques,
- Quality control strategies for MT data,
- Exploration of datasets for pretraining or auxiliary tasks for
training MT systems.
SHARED TASK
To encourage research on corpus construction for low-resource machine
translation, we introduce a shared task focused on identifying
high-quality instances that should be translated into a target
low-resource language. Participants are provided access to multi-way
corpora in the high-resource languages of English, Spanish, German,
Korean, and Indonesian, and using these, are required to identify
beneficial instances, that when translated into the low-resource
languages of Cebuano, Gujarati, and Burmese, lead to high-performing MT
systems. More details on data, evaluation and submission can be found on
the website (https://sites.google.com/view/coco4mt/shared-task) or by
emailing coco4mt-shared-task(a)googlegroups.com.
SUBMISSION INFORMATION
CoCo4MT will accept research, review, or position papers. The length of
each paper should be at least four (4) and not exceed ten (10) pages,
plus unlimited pages for references. Submissions should be formatted
according to the official MT Summit 2023 style templates
(https://www.overleaf.com/latex/templates/mt-summit-2023-template/knrrcnxhkq…).
Accepted papers will be published in the MT Summit 2023 proceedings
which are included in the ACL Anthology and will be presented at the
conference either orally or as a poster.
Submissions must be anonymized and should be made to the workshop using
the Softconf conference management system
(https://softconf.com/mtsummit2023/CoCo4MT). Scientific papers that have
been or will be submitted to other venues must be declared as such, and
must be withdrawn from the other venues if accepted and published at
CoCo4MT. The review will be double-blind.
We would like to encourage authors to cite papers written in ANY
language that are related to the topics, as long as both original
bibliographic items and their corresponding English translations are
provided.
Registration will be handled by the main conference. (To be announced)
IMPORTANT DATES
May 18, 2023 - Call for papers released
May 19, 2023 - Shared task release of train, dev and test data
May 25, 2023 - Shared task release of baselines
June 5, 2023 - Second call for papers
June 20, 2023 - Third and final call for papers
July 16, 2023 - Paper submissions due
July 16, 2023 - Shared task deadline to submit results
July 27, 2023 - Notification of acceptance
July 27, 2023 - Shared task system description papers due
August 03, 2023 - Camera-ready due
September 4-5, 2023 - CoCo4MT workshop
CONTACT
CoCo4MT Workshop Organizers:
coco4mt-2023-organizers(a)googlegroups.com
CoCo4MT Shared Task Organizers:
coco4mt-shared-task(a)googlegroups.com
ORGANIZING COMMITTEE (listed alphabetically)
Ananya Ganesh University of Colorado Boulder
Constantine Lignos Brandeis University
John E. Ortega Northeastern University
Jonne Sälevä Brandeis University
Katharina Kann University of Colorado Boulder
Marine Carpuat University of Maryland
Rodolfo Zevallos Universitat Pompeu Fabra
Shabnam Tafreshi University of Maryland
William Chen Carnegie Mellon University
PROGRAM COMMITTEE (listed alphabetically tentative)
Abteen Ebrahimi University of Colorado Boulder
Adelani David Saarland University
Ananya Ganesh University of Colorado Boulder
Alberto Poncelas ADAPT Centre at Dublin City University
Anna Currey Amazon
Amirhossein Tebbifakhr University of Trento
Atul Kr. Ojha National University of Ireland Galway
Ayush Singh Northeastern University
Barrow Haddow University of Edinburgh
Bharathi Raja Chakravarthi National University of Ireland Galway
Beatrice Savoldi University of Trento
Bogdan Babych Heidelberg University
Briakou Eleftheria University of Maryland
Constantine Lignos Brandeis University
Dossou Bonaventure Mila Quebec AI Institute
Duygu Ataman New York University
Eleftheria Briakou University of Maryland
Eleni Metheniti Université Toulosse - Paul Sabatier
Jasper Kyle Catapang University of Birmingham
John E. Ortega Northeastern University
Jonne Sälevä Brandeis University
Kalika Bali Microsoft
Katharina Kann University of Colorado Boulder
Kochiro Watanabe The University of Tokyo
Koel Dutta Chowdhury Saarland University
Liangyou Li Huawei
Manuel Mager University of Stuttgart
Maria Art Antonette Clariño University of the Philippines Los Baños
Marine Carpuat University of Maryland
Mathias Müller University of Zurich
Nathaniel Oco De La Salle University
Niu Xing Amazon
Patrick Simianer Lilt
Rico Sennrich University of Zurich
Rodolfo Zevallos Universitat Pompeu Fabra
Sangjee Dondrub Qinghai Normal University
Santanu Pal Saarland University
Sardana Ivanova University of Helsinki
Shantipriya Parida Silo AI
Shiran Dudy Northeastern University
Surafel Melaku Lakew Amazon
Tommi A Pirinen University of Tromsø
Valentin Malykh Moscow Institute of Physics and Technology
Xing Niu Amazon
Xu Weijia University of Maryland
Dear all,
We are organising a free training event (online and in person): Language Data Analysis for Business and Professional Communication.
It will take place on 22 September 2023 10:00 - 15:30 UK time.
More details and registration: https://www.lancaster.ac.uk/events/language-data-analysis-for-business-and-…
The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers a practical training workshop focused on computational analysis of language data for businesses and professional organisations and anyone interested in communication in professional contexts. The data includes social media, newspapers, business reports, marketing materials and other data sources.
The workshop will introduce a new software tool #LancsBox X<https://lancsbox.lancs.ac.uk/> developed at Lancaster University, which can analyse and visualise large amounts of language data (millions and billions of words). Practical examples of uses of #LancsBox X (case studies) will be provided.
Best,
Vaclav
Professor Vaclav Brezina
Professor in Corpus Linguistics
Department of Linguistics and English Language
ESRC Centre for Corpus Approaches to Social Science
Faculty of Arts and Social Sciences, Lancaster University
Lancaster, LA1 4YD
Office: County South, room C05
T: +44 (0)1524 510828
[cid:image001.png@01D9DF47.CD8CA940]@vaclavbrezina
[cid:image002.png@01D9DF47.CD8CA940]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>
Dear all,
Please find below the call for papers for next year’s Web Science
Conference.
Best regards,
Agnieszka Faleńska
*Call for Papers <https://websci24.org/call-for-papers/>*
ACM WebSci’24 ● 16th ACM Web Science Conference
May 21 – May 24, 2024 ● Stuttgart, Germany
*Reflecting on the Web, AI, and Society*
*https://websci24.webscience.org/* <https://websci24.webscience.org/>
*Important Dates*
- *Thu, November 30, 2023: Paper submission deadline*
- *Wed, January 31, 2024: Notification*
- *Thu, February 29, 2024: Camera-ready versions due*
- *Tue-Fri, May 21 – May 24, 2024: Conference dates*
*All dates are 23:59 **Anywhere on earth time*
<https://time.is/Anywhere_on_Earth>
*About the Web Science Conference*
Web Science is an interdisciplinary field dedicated to understanding the
complex and multiple impacts of the Web on society and vice versa. The
discipline is well situated to address pressing issues of our time by
incorporating various scientific approaches. We welcome quantitative,
qualitative, and mixed methods research, including social sciences and
computer science techniques. In addition, we are interested in work
exploring Web-based data collection and research ethics. We also encourage
studies that combine analyses of Web data and other types of data (e.g.,
from surveys or interviews) and help better understand user behavior online
and offline.
*Possible topics across methodological approaches and digital contexts
include but are not limited to:*
*Understanding the Web*
- Automation and AI in all its manifestations relevant to the Web
- Trends in globalization, fragmentation, and polarization of the Web
- The architecture and philosophy of the Web
- Critical analyses of the Web and Web technologies
Making the Web Inclusive
- Issues of discrimination and fairness
- Intersectionality and design justice in questions of marginalization
and inequality
- Ethical challenges of technologies, data, algorithms, platforms, and
people on the Web
- Safeguarding and governance of the Web, including anonymity, security,
and trust
- Inclusion, literacy and the digital divide
*The Web and Society*
- Social machines, crowd computing and collective intelligence
- Web economics, social entrepreneurship, and innovation
- Legal issues, including rights and accountability for AI actors
- Humanities, arts, and culture on the Web
- Politics and social activism on the Web
- Online education and remote learning
- Health and well-being online
- The role of the Web in the future of (augmented) work
- The Web as a source of news and information, and misinformation
*Doing Web Science*
- Data curation, Web archives and stewardship in Web Science
- Temporal and spatial dimensions of the Web as a repository of
information
- Analysis and modeling of human vs. automatic behavior (e.g., bots)
- Analysis of online social and information networks
- Detecting, preventing and predicting anomalies in Web data (e.g., fake
content, spam)
*2024 Emphasis: Reflecting on the Web, AI, and Society*
In addition to the topics at the heart of Web Science, we also welcome
submissions addressing the interplay between the Web, AI and society. New
advances in AI are revolutionizing the way in which people use the Web and
interact through it. As these technologies develop, it is crucial to
examine their effect on society and the socio-technical environment in
which we find ourselves. We are nearing the crossroads wherein content on
the Web will increasingly be automatically generated, blended with that
created by humans. This creates new potential yet brings new challenges and
exacerbates existing ones in relation to data quality and misinformation.
Additionally, we need to consider the role of the Web as a source of data
for AI, including privacy and copyright concerns, as well as bias and
representativity of resulting systems. The potential impact of new AI tools
on the nature of work may bring a transformation of some careers while
creating whole new ones. This year’s conference especially encourages
contributions documenting different uses of AI in relation to how people
use the Web, and in the ways the Web affects the creation and deployment of
AI tools.
*Format of the submissions*Please upload your submissions via EasyChair:
https://easychair.org/conferences/?conf=acmwebsci24
*There are two submission formats.*
- Full papers should be between 6 and 10 pages (including references,
appendices, etc.). Full papers typically report on mature and completed
projects.
- Short papers should be up to 5 pages (including references,
appendices, etc.). Short papers will primarily report on high-quality
ongoing work not mature enough for a full-length publication.
*All accepted submissions will be assigned an oral presentation (of two
different lengths).*
All papers should adopt the current ACM SIG Conference proceedings template
(acmart.cls). Please submit papers as PDF files using the ACM template,
either in Microsoft Word format (available at
https://www.acm.org/publications/proceedings-templateunder “Word Authors”)
or with the ACM LaTeX template on the Overleaf platform, which is available
at
https://www.overleaf.com/latex/templates/association-for-computing-machiner…
. In particular; please ensure that you are using the two-column version of
the appropriate template.
All contributions will be judged by the Program Committee upon rigorous
peer review standards for quality and fit for the conference by at least
three referees. Additionally, each paper will be assigned to a Senior
Program Committee member to ensure review quality.
WebSci-2024 review is double-blind. Therefore, please anonymize your
submission: do not put the author(s) names or affiliation(s) at the start
of the paper, and do not include funding or other acknowledgments in papers
submitted for review. References to authors’ own prior relevant work should
be included but should not specify that this is the authors’ own work. It
is up to the authors’ discretion how much to further modify the body of the
paper to preserve anonymity. The requirement for anonymity does not extend
outside of the review process, e.g., the authors can decide how widely to
distribute their papers over the Internet. Even in cases where the author’s
identity is known to a reviewer, the double-blind process will serve as a
symbolic reminder of the importance of evaluating the submitted work on its
own merits without regard to the authors’ reputation.
For authors who wish to opt-out of publication proceedings, this option
will be made available upon acceptance. This will encourage the
participation of researchers from the social sciences that prefer to
publish their work as journal articles. All authors of accepted papers
(including those who opt out of proceedings) are expected to present their
work at the conference.
*ACM Policies <https://websci24.org/acm-policy-2/>*
1. “By submitting your article to an ACM Publication, you are hereby
acknowledging that you and your co-authors are subject to all ACM
Publications Policies
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.acm.o…>,
including ACM’s new Publications Policy on Research Involving Human
Participants and Subjects
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.acm.o…>.
Alleged violations of this policy or any ACM Publications Policy will be
investigated by ACM and may result in a full retraction of your paper, in
addition to other potential penalties, as per ACM Publications Policy.”
2. “Please ensure that you and your co-authors obtain an ORCID ID
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Forcid.org…>,
so you can complete the publishing process for your accepted paper. ACM
has been involved in ORCID from the start and we have recently made
a commitment
to collect ORCID IDs from all of our published authors
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fauthors.a…>.
The collection process has started and will roll out as a requirement
throughout 2022. We are committed to improve author discoverability,
ensure proper attribution and contribute to ongoing community efforts
around name normalization; your ORCID ID will help in these efforts.”
*Program Committee Chairs:*
*Oshani Seneviratne (Rensselaer Polytechnic Institute)*
*Luca Maria Aiello (IT University of Copenhagen)*
*Yelena Mejova (ISI Foundation)*
For any questions and queries regarding the paper submission, please
contact the chairs at acmwebsci24(a)easychair.org.
Monthly online ILFC Seminar: interactions between formal and computational
linguistics
https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/
GdR LIFT is happy to announce the four forthcoming sessions of the ILFC
seminar on the interactions between formal and computational linguistics:
- 2023/09/13 17:00-18:00 UTC+2: *Anna Ivanova* (Massachusetts Institute
of Technology; 11:00-12:00 UTC-4)
Title: *Dissociating formal and functional linguistic competence in
large language models*
Abstract: *Today’s large language models (LLMs) routinely generate
coherent, grammatical and seemingly meaningful paragraphs of text. This
achievement has led to speculation that LLMs have become “thinking
machines”, capable of performing tasks that require reasoning and/or world
knowledge. In this talk, I will introduce a distinction between formal
competence—knowledge of linguistic rules and patterns—and functional
competence—understanding and using language in the world. This distinction
is grounded in human neuroscience, which shows that formal and functional
competence recruit different cognitive mechanisms. I will show that the
word-in-context prediction objective has allowed LLMs to essentially master
formal linguistic competence; however, LLMs still lag behind at many
aspects of functional linguistic competence, and improvements in this
domain often depend on specialized fine-tuning or coupling with an external
module. In the last part of the talk, I will present a case study
highlighting the difficulties of disentangling formal and functional
competence when it comes to evaluating world knowledge, and show that
similar difficulties are present in neuroscience research. I will conclude
by discussing the value of the formal/functional competence framework for
evaluating and building flexible, humanlike models of language use.*
- 2023/10/18 17:00-18:00 UTC+2: *Alexander Koller* (Saarland University)
Title: [TBA]
Abstract: [TBA]
- 2023/11/15 17:00-18:00 UTC+1: *Raquel Fernández* (University of
Amsterdam)
Title: [TBA]
Abstract: [TBA]
- 2023/12/13 17:00-18:00 UTC+1: *Richard Futrell* (UC Irvine; 8:00-9:00
UTC-8)
Title: [TBA]
Abstract: [TBA]
The seminar is held on Zoom. To attend the seminar and get updates, please
subscribe to our mailing list (we now only rarely communicate through other
mailing lists): https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc
(apologies, German version only as this position requires German language skills)
In der Fakultät für Elektrotechnik, Informatik und Mathematik - Institut für Informatik / Fachgebiet Natural Language Processing - ist zum nächstmöglichen Zeitpunkt eine Stelle als
wissenschaftliche*r Mitarbeiter*in (w/m/d)
(Entgeltgruppe 13 TV-L) im Umfang von 100% der regelmäßigen Arbeitszeit zu besetzen. Es handelt sich um eine Qualifizierungsstelle im Sinne des Wissenschaftszeitvertragsgesetzes (WissZeitVG), die zur Förderung eines Promotionsverfahrens im Bereich Natural Language Processing dient. Die Stelle ist befristet für die Dauer des Promotionsverfahrens, abhängig von der bisher erreichten Qualifizierung, jedoch für einen Zeitraum von i.d.R. 3 Jahren, zu besetzen. Eine Verlängerung zum Abschluss der Promotion ist innerhalb der Befristungsgrenzen des WissZeitVG ggf. möglich.
Aufgabengebiet:
* Eigenverantwortliche Forschung in den Bereichen "Privacy in Natural Language Processing" oder "Legal Natural Language Processing"
* Lehrverpflichtung im Umfang von i.d.R. 4 SWS
* Beteiligung an der Selbstverwaltung
Einstellungsvoraussetzungen:
* Wissenschaftlicher Hochschulabschluss (Master in Computer Science oder einer verwandten Disziplin)
* Solide Kenntnisse im Bereich des maschinellen Lernens und der Verarbeitung natürlicher Sprache
* Starkes Interesse am Thema “Privacy in Natural Language Processing” oder "Legal Natural Language Processing
* Ausgezeichnete analytische und programmiertechnische Fähigkeiten
* Teamfähigkeit
* Fließende Sprachkenntnisse in Englisch und Deutsch
Bewerbungen von Frauen sind ausdrücklich erwünscht und werden gem. LGG bei gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt berücksichtigt, sofern nicht in der Person eines Mitbewerbers liegende Gründe überwiegen. Teilzeitbeschäftigung ist grundsätzlich möglich. Ebenso ist die Bewerbung geeigneter Schwerbehinderter und Gleichgestellter im Sinne des Sozialgesetzbuches Neuntes Buch (SGB IX) erwünscht.
Bewerbungen mit den üblichen Unterlagen werden als PDF-Dokument per E-Mail unter Angabe der Kennziffer 6082 "PhD-NLP" bis zum 24.09.2023 erbeten an: habernal(a)mail.uni-paderborn.de. Als Ansprechpartner steht Prof. Habernal unter der oben genannten E-Mail-Adresse zur Verfügung. Informationen zur Verarbeitung Ihrer personenbezogenen Daten finden Sie unter: https://www.uni-paderborn.de/zv/personaldatenschutz.
2nd Call for Abstracts: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023)
Free registration is now open https://bit.ly/3pwUwlG - a few tickets are still available.
Please join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University.
We welcome researchers and practitioners to submit presentation abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages.
The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop.
Important Dates:
- Due date for workshop abstract submission: August 1, 2023 (extended)
- Notification of abstract acceptance to authors: August 10, 2023
- Workshop date: September 5, 2023 (online event<https://bit.ly/3pwUwlG>)
Keynote speakers:
- Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan.
- Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco.
- Professor Hend Al-Khalifa - College of Computer and Information Sciences at King Saud University, KSA
- Dr Abdel-Karim Al Tamimi- Computer Science and Software Engineering at Sheffield Hallam University, UK
- Dr Mo El-Haj - School of Computing and Communications at Lancaster University, UK
For list of speakers, talks' titles and abstract please visit the workshop's website:
https://wp.lancs.ac.uk/acc/rlrl2023/
The main objectives of the workshop are three-fold:
1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy.
2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges.
3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages.
Abstract submission:
Abstract submission page is now open, please submit abstracts of no more than 500 words https://easychair.org/conferences/?conf=rlrl2023
Alternatively, you can contact the organisers directly with presentation ideas on topics related to readability or low resourced languages.
Topics of interest include, but are not limited to:
- Machine learning for text readability
- Applications of readability assessment
- Readability in low-resource languages
- Comprehensibility measures
- Mathematical representations of readability levels
- Text simplification for low-resource languages
- Readability and comprehensibility in language learning
- The effects of text simplification on readability
- Readability frameworks for indigenous languages
- Updating readability representations
We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023.
RLRL 2023 Organisers:
- Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University)
- Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University)
- Prof. Hend Al Khalifa (iWAN, King Saud University)
https://wp.lancs.ac.uk/acc/rlrl2023/
Best wishes,
Mahmoud
---------------------
Dr Mo El-Haj
Senior Lecturer in NLP
Co-Director of UCREL NLP Group
Strategic Lead of Arabic and Financial NLP Research
Advisory Board of the Natural Language Processing Journal
https://benjamins.com/catalog/nlp
School of Computing and Communications, Lancaster University
https://www.lancaster.ac.uk/staff/elhaj
@DocElhaj<https://twitter.com/DocElhaj>
*** First Call for Workshop Proposals ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE 2024)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: October 13, 2023 AoE ***)
CAiSE is a well-established, highly visible conference series on Advanced Information Systems
(IS) Engineering. It covers all relevant topics in the area, including methodologies and
approaches for IS engineering, innovative platforms, architectures and technologies, and
engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting
workshops in related fields. Workshops are intended to focus on particular topics and provide
ample room for discussions of new ideas and developments.
CAiSE 2024, the 36th edition of the CAiSE series, invites proposals for workshops to be held in
conjunction with the main conference, related to the CAiSE topics, covering new emerging
topics and targeting innovative papers in special focus areas.
Prospective workshop organisers should specify whether they plan an event with a
presentation-oriented track, a discussion-oriented track, or both.
Presentation-oriented track
This track focuses on accepted papers with presentations followed by Q&A sessions, akin to
conferences. The proceedings of these workshops are intended to be published in a joint
volume in the Springer LNBIP series. Submissions must conform to the Springer LNCS/LNBIP
format and should not exceed 12 pages. According to the Springer standards, the overall
acceptance rate cannot exceed 45%-50%.
Discussion-oriented track
This track emphasizes discussions facilitated by paper presentations revolving around novel
ideas and early-stage research. Since the main criterion for paper acceptance in such
workshops is relevance and potential for raising discussion, they are not expected to have
their proceedings in the Springer LNBIP volume.
The edition of a joint proceedings volume next to the LNBIP one for the discussion-oriented
track is underway. Proceedings shall be submitted to CEUR-WS.org for online publication.
Details on this aspect will be provided separately.
Proposal submission
Workshop proposals should be submitted via EasyChair at the following address: https://easychair.org/conferences/?conf=caise2024
Please select the Author role and the CAiSE 2024 Workshops track.
Prior contact with the workshop chairs (caise2024-workshops(a)easychair.org) is encouraged.
The organizer(s) of approved workshops will be responsible for advertising their workshop,
eliciting high-quality submissions, organizing the reviewing process of their workshop’s
papers according to the principles and guidelines of CAiSE, and collecting camera-ready
copies of accepted papers (verifying that they comply with the formatting rules). Organizers
(including co-organizers) are expected to attend their entire workshop.
Detailed instructions for workshop proposers
The proposal (up to 1000 words) should cover the following points:
• Workshop title, duration (1 day or 2 days), preferred date (3-4 June 2024)
• Workshop type (presentation-oriented or discussion-oriented, or both).
• Information on the organizers (PC chairs, other organizers who will be present at the workshop or are otherwise involved, including the person responsible for web presence and communication). Please include names, addresses, and affiliations, indicating the main responsible person. The submission should include a one-paragraph biographical sketch for each organizer, describing relevant qualifications and experience. Please specify at least one PC chair. PC chairs will not be allowed to submit papers to the workshop, but other organizers (who will have no oversight over the review process) are encouraged to do so.
• Purpose: What are the main goals of the workshop? Please list the workshop topics. How does the focus of the workshop differ from the main conference? How does the focus of the workshop differ from other potential CAiSE events? (Proponents are advised to look at the workshops and working conferences held at CAiSE 2022 and CAiSE 2023 and differentiate your scope from theirs.)
• Organization of the workshop: Specify the type of contributions, distribution into sessions, type of sessions, etc. Mention if you plan to have any keynote speaker (please note that the conference organization will not cover fees, travel expenses, accommodation and registration costs of keynote speakers). Include any special requirements regarding infrastructure and room layout.
• Tentative list of PC members.
• An estimate of the number of papers to be accepted, and the number of attendees. If applicable, short information on previous editions of the workshop series (this should include submission, acceptance, and attendance information). Short information on your plans for advertising your workshop and making it highly visible.
Services provided by CAiSE
• EasyChair installation for the management of the workshop submissions (each organizer will be made chair of their own workshop).
• Publication of papers in an LNBIP volume for presentation-oriented tracks, and in a CEUR-WS.org online volume for discussion-oriented tracks.
• One free workshop-only registration if more than 10 people are registered for the workshop. Organizers willing to attend the whole event (main conference) will have to register for the conference at their own expense.
• Local organizational infrastructure and administrative support (registration, badges, refreshments, beamers, screens, etc.). In particular, all venue issues (rooms, meals and catering, social dinner, etc.) as well as the management of the registrations and the financing/administrative issues will be handled by the CAiSE Organization Board and are not under the responsibility of the workshop organizers.
• Advertisement of the workshop on the CAiSE 2024 homepage and mailings.
Please note that the workshop may be canceled if the number of registrations is less than 10.
Also, in the case of workshops with topics that are similar, two or more workshops may be
suggested to merge together.
Key Dates
• Submission of workshops proposals (via Easychair): October 13th, 2023
• Workshop notifications: November 3rd, 2023
• Workshop paper submission (tentative, recommended for presentation-oriented tracks): March 6th, 2024
• Workshop paper decision (recommended for presentation-oriented tracks): April 3rd, 2024
• Camera-ready due (recommended for presentation-oriented tracks): April 22nd, 2024
• Workshops: June 3rd-4th, 2024
Contact
For more information and inquiries, please feel free and welcome to contact the Workshop
Chairs at the following address: caise2024-workshops(a)easychair.org
**** Call for Papers ****
*31st Irish Conference on Artificial Intelligence and Cognitive Science
(AICS23)*
December 7th – 8th 2023 - Atlantic Technological University, Letterkenny,
Co. Donegal
Conference Website: https://www.aics.ie/
Submission Deadline: 24th September 2023
The 31st Irish Conference on Artificial Intelligence and Cognitive Science
(AICS 2023) will be hosted by Atlantic Technological University (ATU) in
collaboration with Ulster University. The conference will be held in-person
at the Letterkenny campus of ATU Donegal. We are also honoured that IEEE UK
and Ireland Computational Intelligence Chapter will provide technical
sponsorship of the conference. Accepted papers will be submitted for
inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and
quality requirements.
With regular conferences dating back to 1988, the AICS Conference is
Ireland’s primary forum bringing together researchers in the fields of
Artificial Intelligence and Cognitive Science. The fields of Artificial
Intelligence and Cognitive Science, encompassing areas such as Data
Analytics, Natural Language Processing, Information Retrieval, and Machine
Learning, are now at the forefront of Irish computing research and
industry. The AICS 2023 program will include presentations of high-quality
theoretical and applied scientific papers and tutorials. Invited talks will
describe important topics relevant to the field.
*Topics of Interest*
We invite submissions in the broad areas of Artificial Intelligence and
Cognitive Science to communicate the advances and achievements in these
fields. Areas of interest include, but are not restricted to:
- Machine Learning
- Natural Language Processing
- Computer Vision
- Automated Reasoning
- Robotics
- Deep Learning
- Ethics of AI
- Cognitive Psychology
- Explainability / Interpretability
- Cyberpsychology
- Intelligent Systems
- Opinion Mining
- Recommender Systems
- Machine Translation
For a full list of areas associated with this conference please visit the
conference website at: https://www.aics.ie/
*Submission*
Accepted papers will be submitted for inclusion into IEEE Xplore subject to
meeting IEEE Xplore’s scope and quality requirements. We invite two types
of submissions:
- Full Paper Track: Full paper submissions should consist of original
contributions (describing either fundamental research, interesting
applications, in-use experiences, or reviews of the field) not published in
other forums. Papers should be no more than 6-8 pages (including
references) and these will be oral presentations at conferences. Papers
over 6 pages will be charged €90 per extra page up to a maximum of two
extra pages (8 pages maximum).
- Short Paper Track: This track is designed to facilitate students who
have recently completed a Master’s program or for PhD students. Short paper
submissions should consist of original contributions (describing
interesting applications or theoretical research) and the first author must
be a student. Papers should be a maximum of 4 pages (including references)
and these will be poster presentations at conferences.
The paper submission system used is EasyChair and the submission link is:
https://easychair.org/conferences/?conf=aics231
All papers will be reviewed by the Program Committee on the basis of
technical quality, relevance to AICS23, originality, significance and
clarity.
For full submission instructions please visit:
https://www.aics.ie/submission.html
*Organisation*
*Conference Chairs*
Dr Kevin Meehan (Atlantic Technological University) - General Chair
Dr Muskaan Singh (Ulster University) - Co-chair
Dr Karla Muñoz Esquivel (Atlantic Technological University) - Co-chair
Dr Fatemeh Golpayegani, (University College Dublin) - Co-chair
*Organising Committee*
Dr Jennifer Hyndman (Atlantic Technological University)
Professor Michaela Black (Ulster University)
Dr Gerry McWilliams (Atlantic Technological University)
Dr Bryan Gardiner (Ulster University)
Professor Hujun Yin (University of Manchester)
Thank you on behalf of the chairs and organising committee.
The Natural Language Processing Chair at JMU Würzburg (WüNLP)
<https://www.informatik.uni-wuerzburg.de/nlp/wuenlp/> as a member of the Center
for AI and Data Science (CAIDAS) <https://www.uni-wuerzburg.de/caidas/>
offers one research position in the area of natural language processing
(NLP).
The position is bound to the project EQUIFAIR (Equitably Fair and
Trustworthy Language Technology), funded by the Alcatel-Lucent Stiftung as
part of the “Responsible AI” program. The project targets two major issues
related to *alignment of large language models* (LLMs): hallucinations and
societal biases, to be addressed in a (massively) multilingual context
(i.e., across a wide variety of natural languages) and in an
explainable/interpretable manner.
The applicants should have a doctoral degree in Computer Science,
Mathematics, or a related discipline. Substantial experience in modern NLP
(i.e., LLM-based) research is expected, as well as prior publications at
top-tier NLP/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML),
demonstrating ability to conduct research at the highest level. Prior
experience in any of the subareas relevant to the project, namely fair and
trustworthy NLP (hallucinations, biases), multilinguality, and/or
explainable/interpretable AI, is a plus.
The position is available for *two years*; the project will start as soon
as the suitable candidate for this position is found. The remuneration will
be at the level *E14* of the German federal wage agreement scheme (TV-L).
Please send your application with standard documents (letter of motivation,
curriculum vitae, academic records, optionally letter(s) or recommendation;
please concatenate all documents into a single PDF) at your earliest
convenience, but no later than *30.09.2023* to Prof. Dr. Goran Glavaš (
goran.glavas(a)uni-wuerzburg.de). Potential candidates are welcome to also
informally contact Prof. Glavaš for additional information. We take
diversity seriously and *especially encourage female and diversity*
*candidates to apply*.
WüNLP is one of the leading German NLP research labs. We are a young and
energetic research group, part of CAIDAS, the ambitious AI research center
of the
University of Würzburg. Würzburg is one of the most livable cities in
Germany.
More information:
https://www.informatik.uni-wuerzburg.de/nlp/news/single/news/open-position-…