We invite you to participate in the 35th European Summer School in
Logic, Language and Information (ESSLLI), taking place from 29 July - 9
August, 2024 at the University of Leuven, Belgium.
https://2024.esslli.eu/
* Overview
The European Summer School in Logic, Language and Information (ESSLLI)
is a yearly recurring event, organized under the auspices of the
Association for Logic, Language and Information (FoLLI), and has been
running since 1989. The ESSLLI Summer School provides an
interdisciplinary setting in which courses and workshops are offered in
logic, linguistics and computer science, also from wider scientific,
historical, and philosophical perspectives.
ESSLLI attracts around 400 participants from Europe, the Middle East,
Asia and Africa, as well as from North America and Latin America. ESSLLI
has become the main meeting place for young researchers and students in
logic, linguistics and computer science to discuss current research and
to share knowledge. The event is unique in its interdisciplinary set-up,
with no equivalents in Europe.
* Programme
The ESSLLI Summer School offers an exciting two-week programme,
consisting of the following:
- Foundational, introductory and advanced courses in three areas:
Language and Computation, Logic and Computation, and Logic and Language
- Workshops in logic, linguistics and computer science
- Student session
- Evening lectures
- Social activities
The full program can be found on the website.
* Registration:
Registration for attendees, course lecturers, student session and
workshop organizers and speakers is now open. The extended
early-registration deadline is Saturday, 15th June 2024.
https://2024.esslli.eu/registration/registration.html
* Accommodation
Due to high demand, all student accommodation is fully booked at the
moment. However, additional rooms might become available. If you want to
be put on the waiting list, send an e-mail to esslli2024(a)kuleuven.be
Dear all, the deadline for the LLM-Lex workshop is extended to Monday, 10 June (EOD). Please check the workshop/submission links below..
Best regards,
Simon
--------------------------------
Call for Extended Abstracts: Large Language Models and Lexicography 2024
Hotel Croatia, Cavtat, Croatia | 8 October 2024
You are invited to submit extended abstracts for the workshop Large Language Models and Lexicography, which will be held in conjunction with the Euralex 2024 congress <https://euralex.jezik.hr/> . The workshop is organised jointly by the Centre for Language Resources and Technologies, University of Ljubljana, and Jožef Stefan Institute, Ljubljana, Slovenia.
Key Information
Workshop link: https://www.cjvt.si/en/research/community/llm-lex-2024/
Euralex 2024 workshops link: https://euralex.jezik.hr/workshops/
Submission link: <https://easychair.org/conferences/?conf=llmlex2024> https://easychair.org/conferences/?conf=llmlex2024
Submission deadline: 3 June 2024 (EOD)
Notification of acceptance: beginning of July 2024
Please note that submissions should be extended abstracts with a maximum length of 1500 words.
Best regards,
Simon Krek
W3 (Full) Professor of Computational Linguistics (m/f/d)
Faculty of Humanities, Institute of Linguistics
Application deadline: 20.06.2024
The Faculty of Humanities at the University of Tübingen invites
applications for a position at the Institute of Linguistics as a
*W3 (Full) Professor of Computational Linguistics (m/f/d)*
to commence as soon as possible.
The future position holder must be outstanding in research in the field
of Computational Linguistics, evidenced by relevant publications in
leading journals and conference proceedings. Demonstrated expertise in
modern NLP methods, such as neural language models or other machine
learning techniques, is required. Desirable is a research profile that
is compatible with linguistic theory and cognitive science, such as
through theoretical or empirical comparisons of machine and human
learning and processing. As the professorship will play a key role in
the partly international Bachelor and Master programs in Computational
Linguistics/Computational Linguistics, General Linguistics, and
Cognitive Science, the future position holder should be able to
represent the full breadth of Computational Linguistics.
Willingness to acquire third-party funding and to participate in
collaborative interdisciplinary third-party funded projects of the
university is expected.
Required qualifications include a PhD or equivalent degree as well as
postdoctoral qualifications and teaching experience equivalent to the
requirements of a full professorship.
The University of Tübingen is committed to equal opportunity, diversity
and inclusion. Female scientists, in particular, are explicitly invited
to apply, as are applicants from outside Germany.
Applications from equally qualified candidates with disabilities will be
given preference.
General information on professorships, hiring processes, and the German
academic system can be found here: https://uni-tuebingen.de/en/213700
<https://uni-tuebingen.de/en/213700>
Applications including all required documents (curriculum vitae and
outline of academic career, copies of certificates and degrees,
publications list, list of teaching experience (and teaching
evaluations, if available), overview of established and planned research
focus) as well as a selection of relevant publications (monographs
authored and five articles) should be submitted via the appointment
portal of the University of Tübingen at
https://berufungen.uni-tuebingen.de
<https://berufungen.uni-tuebingen.de> by J*une 20, 2024.*
Enquiries can be directed to the Dean of the Faculty of Humanities,
Prof. Dr. Dietmar Till (berufungen(a)philosophie.uni-tuebingen.de)
W3 (Full) Professor of General / Computational Linguistics (m/f/d)
Faculty of Humanities, Institute of Linguistics
Application deadline: 20.06.2024
The Faculty of Humanities at the University of Tübingen invites
applications for a position at the Institute of Linguistics as a
*W3 (Full) Professor of General / Computational Linguistics (m/f/d)*
to commence as soon as possible.
The future job holder must be excellently qualified in research in the
field of general / computational linguistics, evidenced by relevant
publications in leading journals and conference proceedings.
Proven excellence in research using current computational linguistic
methods is expected. Experience with linguistically informed data
formats is desirable.
Since the professorship plays a leading role in the partly international
Bachelor and Master programs Computational Linguistics, General
Linguistics and Cognitive Science, the future position holder needs to
be able to represent the full bandwidth of Computational Linguistics
including its interdisciplinary connections with General Linguistics and
Cognitive Science.
The successful candidate must be willing to acquire third-party funding
and to participate in collaborative interdisciplinary third-party funded
projects at the University.
Required qualifications include a PhD or equivalent degree as well as
postdoctoral qualifications and teaching experience equivalent to the
requirements of a full professorship.
The University of Tübingen is committed to equal opportunity, diversity
and inclusion. Female scientists, in particular, are explicitly invited
to apply, as are applicants from outside Germany.
Applications from equally qualified candidates with disabilities will be
given preference.
General information on professorships, hiring processes, and the German
academic system can be found here: https://uni-tuebingen.de/en/213700
<https://uni-tuebingen.de/en/213700>
Applications including all required documents (curriculum vitae and
outline of academic career, copies of certificates and degrees,
publications list, list of teaching experience (and teaching
evaluations, if available), overview of established and planned research
focus) as well as a selection of relevant publications (monographs
authored and five articles) should be submitted via the appointment
portal of the University of Tübingen at
https://berufungen.uni-tuebingen.de
<https://berufungen.uni-tuebingen.de> by *June 20, 2024*. Enquiries can
be directed to the Dean of the Faculty of Humanities, Prof. Dr. Dietmar
Till (berufungen(a)philosophie.uni-tuebingen.de).
The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for
3 PhD students - September 2024
1 Postdoc - September 2024 or later
Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”). We will also develop novel machine learning techniques for neuroexplicit models (“Foundations”). Our overarching aim is to contribute to a better understanding of the cross-cutting design principles of effective neuroexplicit models through interdisciplinary collaboration.
The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025; the first six PhD students started in late 2023, and three more have accepted our offer to join us in September 2024. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world.
The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany.
The positions are funded as follows:
- PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications.
- The postdoc will initially be funded for three years, with the possibility of extension, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues.
The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants.
Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes.
Vera Demberg, Saarland University - Computational Linguistics
Jörg Hoffmann, Saarland University - AI Planning
Dietrich Klakow, Saarland University - Natural Language Processing
Alexander Koller, Saarland University - Computational Linguistics
Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning
Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence
Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning
Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning
Isabel Valera, Saarland University - Machine Learning
Jilles Vreeken, CISPA - Machine Learning, Causality
Joachim Weickert, Saarland University - Mathematical Data Analysis
Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning
Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow.
Please send your application by 21 June 2024 to apply(a)neuroexplicit.org. Include the reference number W2488 for the postdoc position and the reference number W2487 for the PhD positions. We aim to conduct job interviews in July.
For more details on the position, including what materials to submit with your application, please see our website: https://www.neuroexplicit.org/jobs/
We are delighted to invite you to ICNLSP 2024
<https://www.icnlsp.org/2024welcome/>, the 7th edition of the International
Conference on Natural Language and Speech Processing, which will be held at
University of Trento from October 19th to 20th, 2024 (HYBRID).
*Topics*
- Signal processing, acoustic modeling.
- Speech recognition (Architecture, search methods, lexical modeling,
language modeling, language model adaptation, multimodal systems,
applications in education and learning, zero-resource speech recognition,
etc.).
- Speech Analysis.
- Paralinguistics in Speech and Language (Perception of paralinguistic
phenomena, analysis of speaker states and traits, etc.).
- Spoken Dialog Systems and Conversational Analysis
- Speech Translation.
- Speech synthesis.
- Speaker verification and identification.
- Language identification
- Speech coding.
- Speech enhancement
- Speech intelligibility
- Speech Perception
- Speech Production
- Brain studies on speech
- Phonetics, phonology and prosody.
- Speech and hearing disorders.
- Paralinguistics of pathological speech and language.
- Speech technology for disordered speech/hairing.
- Cognition and natural language processing.
- Machine translation.
- Text categorization.
- Summarization.
- Sentiment analysis and opinion mining.
- Computational Social Web.
- Arabic dialects processing.
- Under-resourced languages: tools and corpora.
- Large language models.
- Arabic OCR.
- NLP tools for software requirements and engineering.
- Knowledge fundamentals.
- Knowledge management systems.
- Information extraction.
- Data mining and information retrieval.
- Lexical semantics and knowledge representation.
- Requirements engineering and NLP.
- NLP for Arabic heritage documents.
*Submission*
Papers must be submitted via the link:
https://cmt3.research.microsoft.com/ICNLSP2024/
<https://cmt3.research.microsoft.com/ICNLSP2024/>
Each submitted paper will be reviewed by three program committee
members.The reviewing
process is double-blind. Authors can use the *ACL format*: *Latex
<https://www.icnlsp.org/ACL%202023%20Proceedings%20Template.zip>*or Word.
Authors have the choice to submit their papers as a full or short
paper. Long papers consist of up to 8 pages of content + references. Short
papers, up to 4 pages of content + references.
*Important dates*
*Submission deadline:* *30 June 2024 11:59 PM (GMT*)
*Notification of acceptance:* 15 September 2024
*Camera-ready paper due:* 25 September 2024
*Conference dates:* 19, 20 October 2024
*Publication*
*1- All accepted papers will be published in **ACL Anthology
<https://aclanthology.org/>**.*
*2- Selected papers will be published (after extension) in:*
* 2-a-* A *SPECIAL ISSUE*
<https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> of Machine
Learning and Knowledge Extraction Journal
<https://www.mdpi.com/journal/make> (MAKE), indexed in *Web of Science
<https://mjl.clarivate.com/search-results>*, *Scopus*
<https://www.scopus.com/sources.uri>, etc.
*Special issue title*:
<https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>
<https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>*Knowledge
Graphs and Large Language Models.
<https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>*
* 2-b-* Signals and Communication Technology (Springer), indexed in
*Scopus* <https://www.scopus.com/> and *zbMATH* <https://zbmath.org/>.
This is a reminder that the deadline for LLM-Lex workshop submissions is approaching.
--------------------------------
Call for Extended Abstracts: Large Language Models and Lexicography 2024
Hotel Croatia, Cavtat, Croatia | 8 October 2024
You are invited to submit extended abstracts for the workshop Large Language Models and Lexicography, which will be held in conjunction with the Euralex 2024 congress <https://euralex.jezik.hr/> . The workshop is organised jointly by the Centre for Language Resources and Technologies, University of Ljubljana, and Jožef Stefan Institute, Ljubljana, Slovenia.
Key Information
Workshop link: https://www.cjvt.si/en/research/community/llm-lex-2024/
Euralex 2024 workshops link: https://euralex.jezik.hr/workshops/
Submission link: <https://easychair.org/conferences/?conf=llmlex2024> https://easychair.org/conferences/?conf=llmlex2024
Submission deadline: 3 June 2024 (EOD)
Notification of acceptance: beginning of July 2024
Please note that submissions should be extended abstracts with a maximum length of 1500 words.
Best regards,
Simon Krek
Apologies for double posting — this will be the final announcement from the Multimodality and Interaction in Language Learning committee.
The submission deadline has been extended to June 10th for both archival and non-archival track submissions.
We would also like to let you know that the event will have free registration, including the conference dinner. However, we ask that anyone who registers please do attend to avoid food waste.
Please visit https://gu-clasp.github.io/MILLing/cfp.html for the full call for papers. We look forward to seeing you in Gothenburg in October!
Best regards,
MILLing 2024 Organising Committee
Dear researchers,
We are pleased to announce that the paper submission deadline for the First
Annual Meeting of the ACL Special Interest Group on Turkic Languages
(SIGTURK) Workshop has been extended to June 7, 2024 (Friday).
This extension aims to provide more time for potential participants to
prepare and submit their novel research contributions. We encourage
submissions on various topics related to computational linguistics and
natural language processing in Turkic languages.
Please note the following updated important dates:
* Extended Workshop Paper Submission Deadline: June 7, 2024 (Friday)
* Notification of Acceptance: June 17, 2024 (Monday)
* Camera-ready Papers Due: July 1, 2024 (Monday)
* Workshop Dates: August 15-16, 2024 (Thursday-Friday)
We invite you to submit your work to our workshop, which will be held in
conjunction with the Annual Meeting of the Association for Computational
Linguistics (ACL) in Bangkok, Thailand. The SIGTURK Workshop provides an
excellent opportunity to present your research, exchange ideas, and
collaborate with researchers from diverse backgrounds who share an interest
in Turkic language processing.
For more information about the workshop, submission guidelines, and
templates, please visit our official website: https://sigturk.com/workshop
If you have any questions or concerns, feel free to reach out to us at
workshop(a)sigturk.com.
We look forward to receiving your submissions and seeing you at the SIGTURK
Workshop in Bangkok!
Best regards,
SIGTURK
Dear Corpus-list members,
I would like to draw your attention to a PhD position at the Centre for Language Studies at Radboud University (applications deadline June 9th):
PhD Candidate AI Authenticity Project: Exploring what makes L2 writing sound ‘human’
Are you curious about what makes text 'human'? And do you want to explore linguistic nuances that distinguish human-authored content from AI-generated text? Then join the Graduate School for the Humanities (GSH) as a PhD candidate and explore these questions.
We offer you the opportunity to develop and carry out your own PhD project within the areas of expertise of your supervisors (Prof. Rob Schoonen, Dr. Nathan Vandeweerd and Dr. Iris Hendrickx). The project will be funded by a Starters Grant from the Faculty of Arts awarded to Dr. Nathan Vandeweerd.
As generative AI has dramatically improved over the last few years, it has become more and more difficult for humans to distinguish between AI- and human written text, with studies suggesting that our ability to do so is often no better than chance. Nevertheless, humans do seem to have opinions about what makes a text ’authentic’. For example, texts with grammatical issues or lack of coherence are more likely to be labelled as AI-generated, even when this is not the case (see e.g. Jakesch et al., 2023). The problem for L2 writers is that many of these (presumed AI-identifying) characteristics also occur in second language writing, which means that non-native writers may be unfairly accused of using generative AI, both by other humans and AI-based GPT detection systems (Liang et al., 2023). In addition to being a potential threat to one’s perceived academic integrity (Currie, 2023), perceptions that a text is AI-generated can have quite serious consequences as such texts are seen as less credible (Waddell, 2018), less favourable (Graefe et al., 2016) and less trustworthy (Jakesch et al., 2019).
Building on the framework of AI-mediated communication (Hancock et al., 2020; Jakesch et al., 2019), The AI Authenticity Project aims to investigate the specific linguistic characteristics that underlie our perceptions of authenticity and to unravel which features of L2 texts convey ’human-ness’.
Over the course of the project, you will use a combination of qualitative methods, corpus linguistic techniques and experimental research to investigate both people’s perceptions of authenticity as well as the extent to which those perceptions reflect reality. Based on your own interests and/or expertise, possible areas of focus include (but are by no means limited to) phraseology/word combinations (e.g., Jakesch et al., 2023), syntax and grammar (e.g., Berber Sardinha, 2024) and coherence/tone of voice (e.g., Casal & Kessler, 2023). Whichever direction you choose, this project promises to be a dynamic and exciting opportunity to do ground-breaking research on a topic of major societal relevance.
For more information, see the link below:
https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-ai-authenti…