Welcome to the Tenth Swedish Language Technology Conference (SLTC), to be held in Linköping, Sweden, 27–29 November 2024.
https://sltc2024.github.io/
## Submissions
We invite submissions on all theoretical, practical, and applied aspects of language technology, including natural language processing, computational linguistics, speech technology, and neighbouring areas. Submissions can report on completed or ongoing research and practical applications of language technology and may be combined with system demonstrations.
The conference does not publish proceedings (“non-archival”), but authors can opt to make their accepted contributions available on the conference webpage. Hence, it is possible to submit abstracts related to work that has been or will be published elsewhere as long as this is compatible with the conditions of the respective publication channels.
## Important Dates
* Submission deadline: Wednesday, 4 September
* Notification of acceptance: Monday, 14 October
* Camera-ready version: Friday, 1 November
* Main conference: Wednesday–Thursday, 27–28 November
* Workshops: Friday, 29 November
## Submission formats
Submissions are extended abstracts using style files that we will make available on the conference webpage. They should include author names and affiliations (i.e., they should not be anonymous). Abstracts should be up to four pages, excluding references, and be submitted via OpenReview no later than Wednesday, 4 September. Please see the conference webpage for details. For more information about submissions, see https://sltc2024.github.io/cfp.
## Organisers
SLTC 2024 is organised by Linköping University. The organisation committee is chaired by
* Lars Ahrenberg
* Arne Jönsson
* Marco Kuhlmann
* Jenny Kunz
To inquire about all aspects of the conference, please email “sltc2024(a)googlegroups.com<mailto:sltc2024@googlegroups.com>”.
An opportunity to join the Assessment Research Group at the British Council as Researcher: AI & Data Science in Assessment. Full details and link to application here: https://careers.britishcouncil.org/job/London-Researcher-AI-&-Data-Science-…
For any enquiries, feel free to contact me. Deadline for applications is 1st April.
The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.
*** Last Call for Demo and Poster Submissions ***
12th IEEE International Conference on Cloud Engineering (IC2E)
September 24-27, 2024, 5* Aliathon Resort, Paphos, Cyprus
https://conferences.computer.org/IC2E/2024/,
The IEEE International Conference on Cloud Engineering (IC2E) is a premier conference on Cloud Computing,
which in the last two decades has significantly changed the way IT resources are consumed.
###IMPORTANT DATES###
* Demo and poster submission deadline: June 23, 2024 (AoE)
* Author notification: July 15, 2024
* Camera-ready due: August 2, 2024
###TOPICS OF INTEREST###
IC2E 2024 invites submissions of high-quality demo and poster papers describing all aspects of cloud engineering. Some representative topics of interest include, but are not limited to:
* Cloud management and engineering, from single (micro-)services to complete system landscapes.
* Cloud applications, ranging from the Internet of Things (IoT) over Big Data to Machine Learning.
* Cloud systems, including storage, data distribution, and serverless computing.
* Cloud security and privacy concerns on all levels of the Cloud stack.
* Fog and Edge Computing, and all other system types in the Cloud-Edge Compute Continuum.
* Everything as a Service.
* Non-technical aspects of Cloud Computing, e.g., cloud governance or cloud economics.
### SUBMISSION ###
Authors must submit poster/demo papers in PDF at EasyChair,
https://easychair.org/conferences/?conf=ic2e2024, upon selecting the Posters/Demos Track option. Papers
should use the IEEE Manuscript Template for Conference Proceedings for formatting. LaTeX users must use
\documentclass[10pt,conference]{IEEEtran}, without including the compsoc or compsocconf options. Poster and
demo papers may not exceed 2 double-column pages and should be single-blind. Depending on the paper type, the
paper title should start with either "Demo:" or "Poster:".
### REVIEW PROCESS AND PUBLICATION ###
All submitted papers will be peer-reviewed based on technical merit, novelty, and potential to stimulate
interesting discussions at the conference, as well as alignment with the conference theme. The papers must
contain original ideas and must not have been published or under review elsewhere, except for demo papers
which may showcase previously published systems. In this case, authors must clearly state this and include the
original publication as part of their submission. Accepted papers will be published by IEEE Computer Society
Conference Publishing Services (indexed by EI).
### ORGANIZATION & CONTACT ###
Demo and Poster Chairs:
* Thaleia Dimitra Doudali, IMDEA Software Institute, Spain (thaleia.doudali(a)imdea.org)
* Lena Mashayekhy, University of Delaware, USA (mlena(a)udel.edu)
General Chairs:
* George Pallis University of Cyprus, Cyprus
* Weisong Shi University of Delaware, US
International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
Varna, Bulgaria, 3-6 July 2024
# Call for Participation
We are pleased to share the accepted papers of NeTTT’2024. To view the full list, please click here - https://nettt-conference.com/accepted-papers/.
To register, please visit https://nettt-conference.com/fees-registration/
We very much hope to welcome you at NeTTT’2024 in Varna!
# The conference
The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024.
The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures.
The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings.
# Venue
The conference will take place at Conference Hotel Cherno More, Varna, situated only 200 m away from the fine sandy Black Sea beach.
# Keynote speakers
We are delighted to announce the NeTTT’2024 keynote speakers
- Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation
- Carla Parra Escartín (RWS Language Weaver)
# Tutorial (3 July 2024)
- Tharindu Ranasinghe (Lancaster University), Quality Estimation for Machine Translation
# Special session - Future of Translation Technology in the Era of LLMs and Generative AI
We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency.
# Sponsors
We are proud to announce the conference sponsors:
OONA - Diamond Sponsor
Pangeanic – Gold Sponsor
MITRA Translations– Silver Sponsor
juremy – Bronze Sponsor
# Further information and contact details
The conference website is https://nettt-conference.comhttps://nettt-conference.com/ and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com.
Best Regards
Tharindu Ranasinghe
Researcher in Linguistic Data
An exciting opportunity has arisen for a Researcher in Linguistic Data
to work in the Faculty of Linguistics, Philology and Phonetics at the
University of Oxford, to work on the project 'Infrastructure for Digital
Arts and Humanities: A National Repository for Literature and
Linguistics' to develop, maintain and ensure delivery of a national
service for the curation of digital resources in literary and linguistic
subject areas, which also acts as a node in the wider European research
infrastructure as a CLARIN Centre.
The post is currently funded to the end of May 2025, but is subject to
ongoing funding applications. It is anticipated that extension of the
duration of the post will be possible.
Applications must be made online by 12:00 noon (GMT) on 5 July 2024.
Apply at https://bit.ly/iDAHOxford2024. After registering on the system,
applicants can download an application form, then submit the completed
form and a CV in PDF format.
Best wishes,
Martin Wynne
--
Senior Researcher in Corpus Linguistics
Faculty of Linguistics, Philology and Phonetics, University of Oxford
National Co-ordinator, CLARIN-UK
martin.wynne(a)ling-phil.ox.ac.uk
https://orcid.org/0000-0002-4155-0530
Project ANR SHERBET : Stemmatology for the HEbRew BiblE Transmission - Artificial Intelligence to understand the transmission of the Hebrew Bible
1st September 2024-31th August 2026
Description
Before the appearance of the printing press, the only way of reproducing and spreading a text in written form was manual copying. During this process, accidents, errors and intentional modifications occurred, progressively modifying the text of each witness. The revised text, whether modified deliberately or accidentally, then served as a template for other copyists and the changes would thereby be propagated. For the philologist interested in the reconstruction of text history and the text’s genealogical relations (similar to a genealogical tree, called stemma codicum), it has been imperative to study these different variants and suggest methods for the objective construction of such trees (called stemmatology methods). Retrieving the genealogical lineage of the Hebrew manuscripts has been one of the major focuses of the laboratoire Écritures and the MSH at the University of Lorraine. In this project, we suggest to improve the manual work performed in the critical editions of the Hebrew Bible by applying the latest advances in applied mathematics and natural language processing to reconstruct the stemmas of the Hebrew manuscripts. This project takes place as a partnership between the centers of research MSH Lorraine (UL), Écriture (UL), LORIA (UL), LJK (UGA) and IECL (UL).
In this context, we are looking for a two years fellow for a post-doctoral position, to fulfill the objective of building the genealogical lineage of the Hebrew Bible through computational stemmatology algorithms.
Postdoc’s responsabilities
Over the course of the project, the fellow will be asked to lead and innovate to complete the following objectives:
Automatic Variant tagging for ancient language The candidate will have to design, train and test a Deep Learning model to automatically tag scribal variants between manuscripts. The model should will be trained on the different variants and their subsequent classification, as designed by the philology experts (orthographic, lexical, grammatical, etc.). The model will then be able to automatically suggest a variant classification given two different strings. While the main focus of the project is Hebrew, extension to Greek would be a possible supplement to the project.
Textual embedding of ancient languages A major challenge of the project is the computation of a semantic-based distances between Hebrew words, in order to define the proximity between two variants, accounting for their meaning. The candidate will have to work on textual embeddings and textual representation of the Hebrew words using Neural Networks.
Textual generation of Hebrew texts using adversarial Deep Learning models Current approaches within the project rely on probabilistic models to generate mock textual traditions to be used as ground truth, that resemble the variants observed on real traditions. Statistics describing scribal behavior are then fed into the model, that then rely on Markov chains to generate the corresponding tradition. One of the objectives of the project is to rely on Deep Learning models for this generation of mock traditions, by using generative adversarial networks. The networks should be able to generate new traditions representative of scribal behavior.
Provide Open-Source results To ensure a reception as wide as possible for the project and to strive towards the goal of making science open to all, the candidate is expected to provide all the software developed over the course of the project as an Open-Source software, respecting all the quality constraints of modern software development. The generated datasets should also be made available to the public. All results will be published in high-impact journals and conferences.
Required skills
Mathematical and computer science skills The candidate must have a PhD in computer science and/or applied mathematics (artificial intelligence, natural language processing...). An experience in Deep Learning, especially applied to Natural Language Processing or modelization of complex systems is required.
Technical skills The candidate should be very familiar with the Python ecosystem for Deep Learning, data manipulation and analysis: pandas, sklearn, tensorflow/ Keras/pytorch.
The candidate should have previous experience in the development of Open-Source software and a good knowledge of current development standards, to ensure that the project reaches as many scholars as possible: CI/CD pipelines, containerization, automated deployments. They will also have to interact daily with REST API and SQL databases. A good understanding of XML TEI and collation tools would be a plus.
Humanities skill Knowledge of Classical Greek and Ancient Hebrew. Knowledge and interest in textual criticism, philology and biblical studies would be a plus.
The candidate is expected to have a good level in English. Knowledge of French would be a plus.
Terms and tenure
This two-years position will be based at the Loria, Campus Scientifique, BP 239 54506, Vandoeuvre-lès- Nancy & MSH Lorraine, Ile du Saulcy, 57000 Metz. The duration can not exceed 24 months.
The target start date for the position is 1st September 2024, with some flexibility on the exact start date.
How to apply
Applicants are requested to submit the following materials:
• A cover letter explaining their motivation for the position. • Full Curriculum Vitae and list of publications.
• Academic transcripts (unofficial versions are fine)
Deadline for application is June 17th 2024. All documents must be sent to frederique.rey(a)univ-lorraine.fr
Job Location
Nancy-Metz, Lorraine, France
----------------------
Maxime Amblard
Université de Lorraine
https://members.loria.fr/mamblardhttp://espoir-ul.fr
Si vous lisez ce message en dehors de vos heures de travail,
merci de ne le traiter qu’en cas d’urgence avérée.
** Industry Day deadline June 20th **
** A week to go **
===============
===============
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2024.org/call-for-industry-day-papers/
===============
CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
Boise, Idaho, USA
October 21–25, 2024
===============
The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings.
We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘24 Call for Papers are used in an industrial setting. Possible topics include how machine learning is put to use in practical scenarios, how user behavior can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimized, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company.
--------------------------
Key Dates
--------------------------
* Submissions Due: June 20th, 2024
* Notifications: July 16, 2024
* Camera ready for abstracts: August 8, 2024
(All deadlines are at 11:59 pm AOE)
The Industry Day of CIKM ’24 will be held on Monday 21st Oct 2024 in Boise, Idaho, USA.
--------------------------
Topics of Interest
--------------------------
Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to:
* Innovative approaches used in deployed systems and products
* System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects
* Metrics and measurement techniques used to understand performance of production systems
* Practical challenges such as data, privacy, integrity, scale, regulation, etc.
* Domain specific challenges and niche focuses
* Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners
We encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company.
--------------------------
Paper Submissions
--------------------------
Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template
Submissions should include:
* Title and abstract
* Speaker's bio
* Relevance to above themes and CIKM topics
* CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations.
* Speakers will be asked to confirm their presence at the conference if their submission is accepted.
Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=cikm2024
The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceedings. Each presentation will be 15-20 minutes long including Q&A.
--------------------------
Chairs Contact Information
--------------------------
For more information, contact the Industry Day chairs: cikm2024-industry [at] easychair [dot] org
Ilaria Bordino, UniCredit, Italy
Udayan Khurana, IBM Research, USA
Marc Najork, Google DeepMind, USA
Dear colleagues,
The SFL Laboratory (Paris, France) is recruiting a Research Engineer (M/F) expert in psycholinguistics during the CNRS external competitions (permanent position).
Details here: https://carrieres.cnrs.fr/en/concours-externes-des-ingenieurs-et-technicien…
Best regards,
S. El Ayari
--
Sarra El Ayari
Ingénieure de recherche en analyse de données linguistiques
Laboratoire Structures Formelles du Langage
UMR 7023 (CNRS & Université Paris 8)
http://www.sfl.cnrs.fr/sarra-el-ayari
We are glad to announce the call for papers for the upcoming Special Issue on “Human Linguistic Behaviour in Machine-Generated Environments” in the International Journal "Research Result. Theoretical and Applied Linguistics (RR.T&AL)", scheduled for publication in December 2024. In conjunction with this Special Issue, a Research Paper Competition is being launched to promote impactful research and transparency in the field of Large Language Model (LLM) research.
𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐈𝐬𝐬𝐮𝐞 𝐃𝐞𝐭𝐚𝐢𝐥𝐬:
𝐆𝐮𝐞𝐬𝐭 𝐄𝐝𝐢𝐭𝐨𝐫𝐬:
• 𝐓𝐚𝐭𝐢𝐚𝐧𝐚 𝐀. 𝐋𝐢𝐭𝐯𝐢𝐧𝐨𝐯𝐚, Voronezh State Pedagogical University & Higher School of Economics
• 𝐆𝐞𝐨𝐫𝐠𝐞 𝐊. 𝐌𝐢𝐤𝐫𝐨𝐬, Hamad Bin Khalifa University & University of Massachusetts Boston
𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 𝐄𝐝𝐢𝐭𝐨𝐫:
• 𝐎𝐥𝐠𝐚 𝐀. 𝐌𝐢𝐭𝐫𝐨𝐟𝐚𝐧𝐨𝐯𝐚, St. Petersburg State University
𝐓𝐨𝐩𝐢𝐜𝐬:
We welcome manuscripts offering new insights into topics such as:
• Large language models and prompt engineering in the study of human language behaviour in machine-generated environments.
• Experimental methods for studying human language behaviour in machine-generated environments (eye tracking, analysis of computer-mediated communication, virtual reality modelling).
• The influence of individual and technological factors on the characteristics of human linguistic behaviour in machine-generated environments and methods for its research.
• Corpus methods, models, and resources in studies of human linguistic behaviour in machine-generated environments.
• Creation of specialised databases for studying human language behaviour in machine-generated environments.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐃𝐚𝐭𝐞𝐬:
• Title and Abstract Deadline: 𝟎𝟓 𝐉𝐮𝐥𝐲 𝟐𝟎𝟐𝟒
• Manuscript Submission Deadline: 𝟎𝟑 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟎𝟐𝟒
For submission guidelines and more details, visit: https://lnkd.in/dmSGjWxA
All the manuscripts marked for Competition should be forwarded to e-mail: ovdekhnich(a)mail.ru<mailto:ovdekhnich@mail.ru>
• See more details for the Special Issue here: https://bit.ly/3zb6FS4
• See more details for the Research Paper Competition here: https://bit.ly/3KG4c4D
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/.