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…
*** Final Call for Paper Submission ***
ACM 4th International Conference on Information Technology for Social Good
(GoodIT''24)
4-6 September 2024, Bremen, Germany
Special Track on Educating for a Sustainable Digital Future
https://blogs.uni-bremen.de/goodit2024/
( *** Submission Deadline: 17 June 2024 (FIRM) ***)
SCOPE
Exploring the development of our digital future requires a comprehensive examination of both
individual and societal consequences. Placing excessive emphasis on individual gains, a
common practice in individualistic societies for many years, has hindered the ability to grasp
the complex dynamics and forward-thinking mindset essential for the sustainability of a
contemporary society.
The evolving landscape of technology and the ongoing digital advancements have paved the
way for creative applications in the field of education, allowing us to adapt to the
ever-changing circumstances. When shaping a new approach for Information Systems and
Information Technology education, it is crucial to emphasize the significance of individuals
as key stakeholders and integral members of the wider community, while also recognizing the
pivotal role of collaboration.
In this track, we are searching for papers employing innovative technology and approaches to
educate the future generation towards world equality, collegiality, inclusion and a more
cooperative learning for a sustainable digital future. Values which are emphasized in the
Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable,
sustainable, and peaceful world.
This track is particularly relevant to IS/IT educators and those creative IT practitioners who
care about developing a sustainable digital future.
TOPICS
Potential topics for papers include (but are not limited to):
• Sustainable and innovative education technologies and practices
• Universal access to quality education
• The new role for IS/IT in society and education and the value of information and knowledge
• The role of cooperative learning for life-long learning and societal developments
• Digital transformation: opportunities and challenges for education, work, and society
• Digital learning environments: Innovations and trends
• Equality, diversity, and inclusion in education, work, and society
• The use of large language models and generative AI in education
• New topics and domains in IT-enhanced education
We hope to attract the interest of IS/IT educators and those creative IT practitioners who care
about developing a sustainable digital future.
SUBMISSION GUIDELINES
Please refer to the instructions on the conference web site:
https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ .
All accepted papers will be included in the ACM Digital Library .
IMPORTANT DATES
• Submission deadline: 17 June 2024 (AoE) (***FIRM***)
• Notification of acceptance: 8 July 2024
• Camera ready: 19 July 2024
TRACK CHAIRS
• George A. Papadopoulos, University of Cyprus, Cyprus
• Vasso Stylianou, University of Nicosia, Cyprus
CONTACT DETAILS
Vasso Stylianou, stylianou.v(a)unic.ac.cy
[Apologies for cross-posting]
Dear colleagues
We are inviting submissions for the next issue of Asia Pacific Journal of
Corpus Research, to appear on 31 December 2023.
*ABOUT*The Asia Pacific Journal of Corpus Research (APJCR, e-ISSN
2733-8096, DOI: https://doi.org/10.22925/apjcr) is an international and
interdisciplinary peer-reviewed journal intended to explore corpus research
in the Asia Pacific region. APJCR addresses areas of methodological,
applied and theoretical work in the field of corpus research. Examples of
such include discourse analysis, lexical studies, grammatical studies,
language acquisition, language learning, language education, lexicography,
pragmatics, sociolinguistics, (machine) translation studies, (digital)
literary studies, computational linguistics, speech, phonetics, deep
learning and natural language understanding in conjunction with corpus.
*NO ARTICLE PROCESS CHARGE*APJCR does not charge authors an Article
Processing Fee (APF).
*OPEN ACCESS POLICY*APJCR provides open access to its content under the
principle in the academic field that making research freely available to
the public supports a greater global exchange of knowledge.
*SUBMISSION*
Papers (in English or Korean) should be sent to *apjcreditor(a)icr.or.kr
<apjcreditor(a)icr.or.kr>*
*Full instruction can be found on http://icr.or.kr/apjcr
<http://icr.or.kr/apjcr>*
*IMPORTANT DATES*- Manuscript submission: 15 October 2023
- First decision (articles assessed by editors): October 2023
- Final decision: November 2023
- Production: December 2023
- Online publication: 31 December 2023
*APJCR ARCHIVE*- Google Scholar:
https://scholar.google.co.kr/scholar?hl=ko&as_sdt=0%2C5&q=apjcr&btnG=
- KoreaScience: http://koreascience.or.kr/journal/CPSOBX/v1n1.page
*ENQUIRIES*
help(a)icr.or.kr
---
*CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford*
Associate Professor | Department of English Language and Literature,
Incheon National University, *South Korea*
President | The Korea Association of Secondary English Education, *South
Korea *(http://kasee.org)
Vice President | The Korea Association of Primary English Education), *South
Korea *(http://kapee.or.kr)
Director | Institute for Corpus Research, Incheon National University, *South
Korea* (http://icr.or.kr)
Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR,
*International* (http://icr.or.kr/apjcr)
Editorial Board | Corpora, Edinburgh University Press, *UK*
Editorial Board | English Today, Cambridge University Press, *UK*
E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129
One week left to submit your papers to ‘Last minute results’ at NeTTT’2024
International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
Varna, Bulgaria, 3-6 July 2024 (https://nettt-conference.com/)
Final Call for ‘Last minute results’ submissions
In view of the special track of the NeTTT'24 event on Future of Translation Technology in the Era of LLMs and Generative AI and the latest dynamic developments with LLMs, we would like to call on researchers and users/companies to submit ‘‘Last minute results” of ongoing studies in the form of short 4-to-page submissions (The conference will not consider and evaluate abstracts only). The idea is to fast-track the reviewing process for these submissions so that the results presented at the event are as up-to-date as possible.
The presentations can be either in oral or poster format.
Submission deadline: 5 June 2024
Notification: 12 June 2024
Submission is done via the Softconf START conference management system at https://softconf.com/n/nettt2024.
We invite the authors to comply with the Springer format, following the templates:
* LaTeX<https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…>,
* Overleaf<https://nettt-conference.com/wp-content/uploads/2024/03/Overleaf_Springer_C…>,
* Word<https://nettt-conference.com/wp-content/uploads/2024/03/Word_splnproc2311.p…>.
Registration
Conference registration is open on https://nettt-conference.com/fees-registration/
Venue
The conference will take place at Conference Hotel Cherno More<https://www.chernomorebg.com/en/conference-centre.html>, Varna, situated only 200 m away from the fine sandy Black Sea beach.
Further information and contact details
The conference website is https://nettt-conference.com<https://nettt-conference.com/> and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com<mailto:nettt2024@nettt-conference.com>
The Institute of Artificial Intelligence invites applications for the position of a
DOCTORAL OR POSTDOCTORAL RESEARCHER (M/F/D)
ON THE TOPIC OF NATURAL LANGUAGE PROCESSING (NLP) FOR SOCIAL GOOD
(SALARY SCALE 13 TV-L, 100%)
starting in September 2024 or soon afterwards. The position is limited to a period of three years with the possibility of extension.
TASKS
The goal of the offered position is to carry out innovative research on NLP, aiming for scientific publications at reputed international venues. The research should involve large language models (LLMs) related to NLP for social good. We support the development of own research directions in this broad context. The position also comes with a teaching duty of four hours per week; the candidate is expected to lead tutorials and/or programming labs as well as to support the supervision of bachelor's and master’s students. We are looking for highly motivated candidates with a passion for creativity and learning who seek to make a positive impact through open and independent research in a young team.
YOUR PROFILE
- Completed academic degree (Master or comparable) in computer science, computational linguistics, artificial intelligence, or related disciplines
- Solid understanding of machine learning with hands-on experience, ideally in the context of NLP and LLMs
- Proficient programming skills in Python
- Good scientific writing skills (for example, shown by a very good master’s thesis) are expected
- Strong communication skills in English, both in oral and in written form
TEAM
The position will be placed in the NLP Group at the Institute of Artificial Intelligence. We are a diverse and international team, studying how humans express their views and intentions in language, and how LLMs can understand and create such language in a fair, trustworthy, and explainable way. Our research tackles interdisciplinary questions from the humanities and social sciences, while building on state-of-the-art NLP techniques, such as instruction fine-tuning and contrastive learning. We seek to do cutting-edge research on artificial intelligence methods that have a positive impact on society and the world.
OUR OFFER
- Creative and innovative work in a diverse and international team
- Possibility to obtain a Ph.D. degree or to shape your Postdoc profile
- State-of-the-art research facilities, including top-notch computing clusters
- Participation in international scientific events and research collaborations
- Salary at the level of 100% of salary scale 13 according to the Collective Agreement for the Public Service of the Länder (TV-L)
D&I
Leibniz University Hannover considers itself a family-friendly university and therefore promotes a balance between work and family responsibilities. Part-time employment can be arranged upon request.
The university aims to promote equality between women and men. For this purpose, the university strives to reduce under-representation in areas where a certain gender is under-represented. Women are under-represented in the salary scale of the advertised position. Therefore, qualified women are encouraged to apply. Moreover, we welcome applications from qualified men. Preference will be given to equally-qualified applicants with disabilities.
QUESTIONS
In case you have questions, please contact Maja Stahl (email: m.stahl(a)ai.uni-hannover.de). Further information about the NLP Group can be found at: https://www.ai.uni-hannover.de/en/institute/research-groups/nlp
For information on the salary scales, see: https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023&matrix…
APPLICATION
Please submit your application with supporting documents (including CV, full set of transcripts, a brief statement of at most 1 page of why you apply to the NLP Group, and possibly further qualifications) by June 23, 2024 as a single PDF file to
Email: office(a)ai.uni-hannover.de (subject: “[ai-nlp] Application”)
or alternatively by post to:
Gottfried Wilhelm Leibniz Universität Hannover
Institute of Artificial Intelligence
Prof. Dr. Henning Wachsmuth
Welfengarten 1, 30167 Hannover
Germany
http://www.uni-hannover.de/jobs
Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis-bewerbungen/.
Call for Participation: The 2nd Shared Task on Multi-lingual Multi-task
Information Retrieval
Organized by the 4th Workshop on Multilingual Representation Learning
In collocation with EMNLP 2024
Website: https://sigtyp.github.io/st2024-mrl.html
With the advancement of language models accessing and processing tons of
information in different formats and languages, it has become of great
importance to be able to assess the capabilities to access and provide the
right information useful to different audiences. Large language models
(LLMs) continue to demonstrate outstanding performance in many applications
that require competence in language understanding and generation, but this
performance is especially prominent in English, where large amounts of
public evaluation benchmarks for various downstream tasks are available and
the extent to which language models can be reliably deployed in terms of
different languages and domains are not still well established.
In this new shared task we provide new high-quality annotations in a
selected set of data-scarce and typologically-diverse languages that can be
used in evaluation of multilingual LLMs in information retrieval tasks;
including Named Entity Recognition (NER) and Reading Comprehension (RC), on
test sets curated from articles on Wikipedia. The main objective of the
shared task is to assess and understand the multilingual characteristics of
the inference capability of multilingual LLMs in understanding and
generating language based on logical, factual or causal relationships
between knowledge contained over long contexts of text, especially under
low-resource settings.
Task and Evaluation
Our task provides a multi-task evaluation format that assesses reading
comprehension capabilities of language models in terms of two subtasks:
named entity recognition and question answering.
Named Entity Recognition (NER) is a classification task that identifies
phrases in a text that refer to entities or predefined categories (such as
dates, person, organization and location names) and it is an important
capability for information access systems that perform entity look-ups for
knowledge verification, spell-checking or localization applications.
The objective of the system is to tag the named entities in a given text as
person (PER), organization (ORG), location (LOC), and date (DATE) (Our tag
set uses $$ as delimiter).
Question answering (QA) is an important capability that enables responding
to natural language questions with answers found in text. Here we focus on
the information-seeking scenario where questions can be asked without
knowing the answer—it is the system’s job to locate a suitable answer
passage (if any). The information-seeking question-answer pairs tend to
exhibit less lexical and morphosyntactic overlap between the question and
answer since they are written separately, which is a more suitable setting
to evaluate typologically-diverse languages.
Here, the system is given a question, title, and a passage and the system
must pick the right answer among a list of 4 different potential options.
We evaluate model performance in the generative task terms of the accuracy
in the multi-choice answering task, and the F1 accuracy in the NER task. We
obtain a final score by averaging the scores of QA and NER.
Data and Languages
Teams can use any resources relevant to the task.
The test sets for official evaluation will be released one week before the
submission date, and will be in the following languages:
-
Turkish
-
Uzbek
-
Indonesian
-
Alemannic
-
Yoruba
-
Igbo
Important dates
-
June 15, 2024: Release of validation data
-
August 1, 2024: Release of test data
-
August 20, 2024: Deadline to release external data and resources used in
systems
-
September 1, 2024: Deadline for submission of systems , and release of
external data and resources used in systems.
-
September 20, 2024: Release of rankings and results
-
September 30, 2024: Deadline for submitting system description papers
(All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”))
Organizers
Duygu Ataman
David Ifeoluwa Adelani
Mammad Hajili
Francesco Tinner
Inder Khatri
Shared Task Prize
The winning team will receive an award of 500 USD and will be given a
presentation during the workshop.
--
Duygu Ataman, Ph.D.
Assistant Professor/Faculty Fellow
Courant Institute of Mathematical Sciences
New York University
www.duyguataman.com