First call for papers DHASA Conference 2024
https://dh2023.digitalhumanities.org.za/
Theme: "Digital Humanities for Inclusion"
The Digital Humanities Association of Southern Africa (DHASA) is
pleased to announce its fourth conference, focusing on the theme
"Digital Humanities for Inclusion." In a region where the field of
Digital Humanities is still relatively underdeveloped, this conference
aims to address this gap and foster growth and collaboration in the
field. The conference offers an opportunity for researchers interested
in showcasing their work in the broad field of Digital Humanities to
come together. By doing so, the conference provides a comprehensive
overview of the current state-of-the-art in Digital Humanities,
particularly within the Southern Africa region. As such, we welcome
submissions related to Digital Humanities research conducted by
individuals from Southern Africa or research focused on the
geographical area of Southern Africa.
Furthermore, the conference serves as a platform for information
sharing and networking among researchers passionate about Digital
Humanities. By bringing together experts working on Digital Humanities
in Southern Africa or with a focus on Southern Africa, we aim to
promote collaboration and facilitate further research in this dynamic
field. In addition to the main conference, affiliated workshops and
tutorials will be organized, providing researchers with valuable
insights into novel technologies and tools. These supplementary events
are designed for researchers interested in specific aspects of Digital
Humanities or seeking practical information to enter or advance their
knowledge in the field.
The DHASA conference welcomes interdisciplinary contributions from
researchers in various domains of Digital Humanities, including, but
not limited to, language, literature, visual art, performance and
theatre studies, media studies, music, history, sociology, psychology,
language technologies, library studies, philosophy, methodologies,
software and computation, and more. Our goal is to cultivate an
inclusive scientific community of practice within Digital Humanities.
Suggested topics include the following:
* Digital archives and the preservation of marginalized voices;
* Intersectionality and the digital humanities: exploring the
intersections of race, gender, sexuality, and class in digital research
and activism;
* Activism and social change through digital media: how digital
humanities tools and methodologies can be used to promote inclusion;
* Engaging marginalized communities in the creation and use of digital
tools and resources;
* Exploring the role of digital humanities in decolonizing knowledge
and promoting indigenous perspectives;
* The ethics of data collection and analysis in digital humanities
research related;
* The role of digital humanities in promoting inclusive and equitable
pedagogy;
* Digital humanities and inclusion in the context of global
perspectives and international collaborations;
* Critical approaches to digital humanities and inclusion: examining
the limitations and possibilities of digital tools and methodologies in
promoting inclusion; and
* Collaborative digital humanities projects with non-profit
organizations, community groups, and cultural institutions;
* Any other digital humanities-related topic that serves the Southern
African community.
Submission Guidelines
The DHASA conference 2023 asks for three types of submissions:
* Long papers: Authors may submit long papers consisting of a maximum
of 8 content pages and unlimited pages for references and appendix. The
final versions of accepted long papers will be granted an additional
page (up to 9 pages) to incorporate reviewers' comments.
* Short papers: Authors may submit short papers with a maximum of 5
content pages and unlimited pages for references and appendix. The
final versions of accepted short papers will be allowed an extra page
(up to 6 pages) to accommodate reviewers' comments. Short papers
accepted for the conference will be presented as posters.
* Abstracts: Authors can submit abstracts of 250-300 words.
We particularly encourage student submissions where the first author is
a student.
All accepted long and short paper submissions that are presented at the
conference will be published in the Journal of Digital Humanities
Association of Southern Africa, see
https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts
of the full papers and the lightning talks will be published in a book
of abstracts before the conference.
Important dates
Submission deadline: 15 August 2023
Date of notification: 30 September 2023
Camera-ready copy deadline: 6 November 2023
Conference: 27 November 2023 - 1 December 2023
Conference format: Face-to-face
Conference venue: Nelson Mandela University, Eastern Cape South Africa
NOTE: Non-presenting delegates have the option to attend online.
Co-located events
Several co-located events are currently being prepared, including
workshops and tutorials. These will be updated on the conference
website.
Organizing Committee
* Johannes Sibeko, Nelson Mandela University
* Aby Louw, Council for Scientific and Industrial Research
* Alan Murdoch, Nelson Mandela University
* Amanda du Preez, University of Pretoria
* Andiswa Bukula, South African Centre for Digital Language Resources
* Andiswa Mvanyashe, Nelson Mandela University
* Avashna Govender, Council for Scientific and Industrial Research
* Gabby Dlamini, Nelson Mandela University
* Ilana Wilken, Council for Scientific and Industrial Research
* Jonathan van der Walt, Nelson Mandela University
* Laurette Marais, Council for Scientific and Industrial Research
* Mukhtar Raban, Nelson Mandela University
* Nomfundo Khumalo, Nelson Mandela University
* Menno Van Zaanen, South African Centre for Digital Language Resources
--
Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za
Professor in Digital Humanities
South African Centre for Digital Language Resources
https://www.sadilar.org
________________________________
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****Last chance to submit****
Workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing - DiSLiDaS 2023
12-13 September 2023 (TBA)
University of Vienna, Vienna, Austria
Paper submission deadline: Extended May, 30, 2023
Website: http://dislidas.mozajka.co
The fourth biennial conference on Language, Data and Knowledge (LDK 2023) (http://2023.ldk-conf.org) and Cost Action CA18209 NexusLinguarum (https://nexuslinguarum.eu) are glad to announce the second workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing – DiSLiDaS 2023.
Conference aims and topics
The workshop aims to follow through the topics discussed during DiSLiDaS 2022 (https://dislidas.mozajka.co/?page_id=211) and to gather current research advances in discourse analysis and representation, in the context of multilinguality, from a linguistic and computational perspective. We invite submissions addressing challenges such as interoperability, linguistic linked open data (LLOD), and language processing and analysis.
The workshop topics are the following (but not limited to):
● Discourse and dialogue annotation: Parsing and representation across languages and frameworks
● Discourse markers and discourse relations (RST, PDTB, SDRT): Identification, prediction and extraction
● Attitudes discovery and interpretation in Discourse: Appraisal and sentiment
● Effects of multimodality on discourse interpretation: Intonation, gesture and text
● Interoperability for Multilingual language data: Challenges of rich and distributed data
● Discourse data and machine learning: Methods and tools
Discourse comprises a wide variety of linguistic phenomena, such as discourse markers, discourse relations, and speaker attitude, which have been largely studied by different communities of practice from Linguistics and Computation, rendering several theoretical frameworks (for instance, RST, SDRT, PDTB, for discourse relations; appraisal theory for sentiment analysis,...), and technological approaches, such as transformer models, embeddings and alike. Nonetheless, there are open issues concerning interoperability, multilinguality, and language processing, in particular, the existence of different annotation schemas, disambiguation, lack of training data for machine learning, scarcity of effective language phenomena detection and interpretation methods, diverse vocabularies, insufficient multilingual parallel corpora of non-dialogue and dialogue, initial stages of exploration of multimodality.
Discourse research is one of the central research areas of natural language processing (NLP) too. NLP research focuses on the formalisation, identification and discovery of semantic phenomena, dialogue exchange structure, and text coherence. Some of the technological approaches of NLP include the use of transformer models, word embeddings, linguistic linked open data, the constitution of aligned multilingual corpora, vocabularies of language phenomena and alike. Computational discourse explores the evidence that language consists not only of placing words in the right order but also of detecting and interpreting the meaning and deeper textual relations and organising ideas into a logical flow. The linguistic approaches study language phenomena referring to coherence and cohesiveness of discourse, lexical, phrasal, syntactic, semantic and pragmatic means to express discourse relations, represent their roles and build language resources for them.
Despite all the advances, there are still plenty of unresolved problems related to interoperability, multilinguality, and language processing. With the growth of the Semantic Web and Linguistic Linked Data, interoperability is key to reading, interpreting and adopting language resources. The existence of different annotation schemas to encode discourse relations constitutes a problem for data exchange and reuse and for theoretical consistency. The treatment of multilinguality is also complicated because of the insufficiency of multilingual parallel corpora of collections of non-dialogue and dialogue texts, which would allow systematic contrastive studies. As to language processing, the lack of training data for machine learning, coupled with the scarcity of effective language phenomena detection and interpretation methods, the coexistence of diverse vocabularies, and the minimal attention to the contribution of the tone of voice, intonation, gestures to the meaning and the informative value of discourse elements make the task of discourse processing still very challenging.
The workshop intends to be a discussion forum for researchers interested in addressing the aforementioned challenges and advancing the state-of-art in discourse studies and linguistic data science.
Programme
The Scientific Programme will include one invited talk and oral presentations.
Invited Speaker
Johan Bos, University of Groningen
Submissions
Submissions can be in the form of:
• long papers: 9–12 pages;
• short papers: 4–6 pages.
All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymised.
The workshop will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the workshop (either remotely or on-site). There will be no registration fee administered for participating in DiSLiDaS 2023.
Submissions must be submitted electronically via EasyChair:
https://easychair.org/conferences/?conf=dislidas2023
Important dates
Time Zone: Anywhere on Earth
Papers due: May, 19, 2023, May, 30, 2023
Papers acceptance notifications: June, 16, 2023
Camera-ready papers due: June, 30, 2023
Programme Committee
Elena-Simona Apostol, University Politehnica of Bucharest, Romania
Harry Bunt, Tilburg University, Netherlands
Maria Josep Cuenca, Universitat de València
Debopam Das, Humboldt University of Berlin, Germany
Jorge Garcia, University of Zaragoza, Spain
Mikel Iruskieta, University of the Basque Country, Spain
António Leal, University of Porto, Portugal
Chaya Liebeskind, Jerusalem College of Technology, Israel
Amália Mendes, University of Lisbon, Portugal
Maciej Ogrodniczuk, Polish Academy of Sciences, Poland
Giedre Valunaite Oleskevicienė, Mykolas Romeris University, Lithuanian
Georg Rehm, DFKI GmbH, Germany
Ted Sanders, Utrecht University, Netherlands
Merel Scholman, University of Saarland, Germany
Dimitar Trajanov, Ss. Cyril and Methodius University, North Macedonia
Radoslava Trnavac, University of Belgrade, Serbia
Ciprian-Octavian Truica, University Politehnica of Bucharest, Romania
Amir Zeldes, The Georgetown University, USA
Organising Committee
Purificação Silvano, University of Porto, Portugal
Mariana Damova, Mozaika, Ltd., Bulgaria
Christian Chiarcos, Goethe-Universität, Germany
Anna Bączkowska, University of Gdansk, Poland
Contact
organizers(a)dislidas.mozajka.co
Important Updates/Final CFP: MEDDOPLACE (place, location & travel
NER/linking form health texts) Shared Task
- NEW: Annotation guidelines - English version released & generated corpus
subset for English, French, Italian, Portuguese and Romanian.
-
NEW Guidelines English: https://zenodo.org/record/7928146
Info:
-
Web: https://temu.bsc.es/meddoplace/
-
Registration: https://temu.bsc.es/meddoplace/registration
-
Data: https://zenodo.org/record/7707567
-
Guidelines Spanish: https://zenodo.org/record/7775235
-
CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017
MOTIVATION
Location information represents one of the most relevant types of entities
for high impact practical NLP solutions, resulting in a variety of
applications adapted to different languages, content types and text genres.
We organize the MEDDOPLACE shared task (Medical Documents PLAce-related
Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to
the recognition, normalization and classification of location and
location-related concept mentions for high impact healthcare data mining
scenarios.
For this task we released the MEDDOPLACE corpus of clinical case texts in
Spanish annotated with location-relevant entity mentions, following
annotation guidelines and entity linking procedures.
Practical impact:
-
Diagnosis & prognosis: Location information is important for the
diagnosis or prognosis of some diseases that are more endemic to certain
regions or particular geographical environments.
-
Health risk factors: Geolocation information can be a risk factor in
case of exposure to radiation, work-related or environmental contaminants
affecting patients health.
-
Mobility: Due to the increasing mobility of populations, detection of
patients' travels and movements can improve early detection and tracing of
infectious disease outbreaks, and thus enable taking preventive
measurements.
The expected results and resources show a multilingual adaptation potential
and impact beyond healthcare (e.g. adaptation to tourism/traveling-related
content or legal texts).
TASKS SUBTRACKS:
1.
Location Entity Recognition: detect exact character offsets of all
location & location-related mentions.
2.
Geographic Entity Normalization (Geocoding/Entity Linking): for entity
mentions, normalize them to their GeoNames (Toponym Resolution),
PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept,
depending on entity type.
3.
Entity Subclassification: Classification of entity mentions into four
subcategories of clinical relevance (patient’s origin place; residence’s
location; place where the patient has traveled to/from; place where the
patient has received medical attention)
4.
End-to-End: Participant systems are evaluated in all three tasks above
sequentially instead of being evaluated on their own.
Publications & workshop
Teams participating will be invited to contribute a systems description
paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short
presentation of their approach at the IberLEF 2023 workshop, see:
https://temu.bsc.es/meddoplace/publications/.
Tentative Schedule:
-
End of evaluation Phase 1: May 31st, 2023
-
End of evaluation Phase 2: June 12th, 2023
-
Working papers submission: June 14th, 2023
-
Notification of acceptance (peer-reviews): June 26th, 2023
-
Camera-ready system descriptions: July 5th, 2023
-
IberLEF @ SEPLN 2023: September 27th-29th, 2023
Organizers:
-
Martin Krallinger, Barcelona Supercomputing Center, Spain
-
Salvador Lima, Barcelona Supercomputing Center, Spain
-
Eulàlia Farré, Barcelona Supercomputing Center, Spain
-
Luis Gascó, Barcelona Supercomputing Center, Spain
-
Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland
=======================================
Martin Krallinger, Dr.
Head of NLP for Biomedical Information Analysis Unit
Barcelona Supercomputing Center (BSC-CNS)
https://www.linkedin.com/in/martin-krallinger-85495920/
=======================================
*** Fourth Call for Papers ***
10th International Conference on Behavioural and Social Computing (BESC 2023)
October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus
http://besc-conf.org/2023/
The International Conference on Behavioural and Social Computing (BESC) is a major
international forum that brings together academic researchers and industry practitioners from
artificial intelligence, computational social sciences, natural language processing, business
and marketing, and behavioural and psychological sciences to present updated research
efforts and progresses on foundational and emerging interdisciplinary topics of BESC,
exchange new ideas and identify future research directions.
The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and
Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the
proceedings are published by IEEE
BESC 2023 invites submissions of original, high-quality research papers addressing
cutting-edge developments from all areas of behavioural and social computing. The
conference aims to bring together researchers and practitioners from academia and industry to
share their knowledge, experience, and perspectives on the latest trends, challenges, and
opportunities in this rapidly evolving field. Topics of interest include, but are not limited to:
Social Computing, Computational Social Science and Applications
• Computational models of social phenomena
• Social behaviour
• Social network analysis
• Semantic web
• Collective intelligence
• Security, privacy, trust in social contexts
• Social recommendation
• Social influence and social contagions
• Quantifying offline phenomena through online data
• Forecasting of social phenomena
• Science and technology studies approaches to computational social science
• Social media and health behaviours
• Social psychology and personality
• New theories, methods, and objectives in computational social science
Digital Humanities
• Digital media
• Digital humanities
• Digital games and learning
• Digital footprints and privacy
• Crowd dynamics
• Digital arts
• Digital healthcare
• Activity streams and experience design
• Virtual communities (e.g., open-source, multiplayer gaming, etc.)
Information Management and Information Systems (IS)
• Decision analytics
• E-Business
• Decision analytics
• Computational finance
• Societal impacts of IS
• Human behaviour and IS
• IS in healthcare
• IS security and privacy
• IS strategy, structure and organizational impacts
• Service science and IS
Natural Language Processing
• Web mining and its social interpretations
• Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Opinion mining and social media analytics
• Credibility of online content
• Computational Linguistics
• Mining big social data
• Cognitive Modelling and Psycholinguistics
Behaviour and User Modelling, Privacy, and Ethics
• Behaviour change
• Positive technology
• Personalization for individuals, groups and populations
• Large scale personalization, adaptation and recommendation
• Web dynamics and personalization
• Privacy, perceived security and trust
• Technology and Wellbeing
• Ethics of computational research on human behaviour
Technology Enhanced Learning (TEL)
• E-Learning and M-Learning
• Open and Distance Learning
• User modeling and personalization in TEL
• TEL in secondary and in higher education
• New tools for TEL
BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special
Sessions will be included in the same IEEE conference proceedings with the papers accepted
for the general technical program.
● Computational Social Psychology in Post Covid-19 Period
● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and
Prediction
● Intelligent E-Learning at Post Covid-19 Era
● Big Data and AI-Powered Decision Support Systems in Business
● Understanding the Citizen's Behavior in Cognitive Cities
● Nudges and Behavioural Computing Models for a Sustainable and Equitable
Development
SUBMISSION INSTRUCTIONS
The paper submission system is using Easy Chair and the submission link is:
https://easychair.org/conferences/?conf=besc2023 .
All papers will be reviewed by the Program Committee on the basis of technical quality,
relevance to BESC 2023, originality, significance and clarity.
Please note:
• All submissions should use IEEE two-column style. Templates are available here:
https://www.ieee.org/conferences/publishing/templates.html
• All papers must be submitted electronically through the paper submission system in PDF
format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages)
and Doctoral Symposium papers (4 pages).
• The page count above excludes the references (but includes any appendices).
• Paper review will be double-blind, and submissions not properly anonymized will be
desk-rejected without review.
• Submitted papers must not substantially overlap with papers that have been published or
that are simultaneously submitted to a journal or a conference with proceedings.
• Papers must be clearly submitted in English and will be selected based on their originality,
timeliness, significance, relevance, and clarity of presentation.
• Submission of a paper should be regarded as a commitment that, should the paper be
accepted, at least one of the authors will register and attend the conference to present the
work.
• The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the
acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The
sections of the paper that use AI-generated text shall have a citation to the AI system used to
generate the text.
• All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers
after presented in the conference will be selected for extension and publication in several
special issues of international journals, e.g., World Wide Web Journal (Springer), Web
Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric
Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
IMPORTANT DATES
• Submission of all papers: 15 July 2023
• Notification of acceptance for submitted papers: 15 September 2023
• Camera-Ready Submission: 1 October 2023
• Author Registration: 1 October 2023
ORGANISATION
Steering Committee Chair
• Guandong Xu, University of Technology Sydney, Australia
General Chair
• George A. Papadopoulos, University of Cyprus, Cyprus
Program Chairs
• Georgia Kapitsaki, University of Cyprus, Cyprus
• Ji Zhang, University of Southern Queensland, Australia
Special Session Chairs
• Taotao Cai, University of Southern Queensland, Australia
• Ting Yu, Zhejiang Lab, China
Doctoral Symposium Chair
• Barbara Caci, University of Palermo, Italy
Panel and Tutorial Chair
• Philippe Fournier-Viger, Shenzhen University, China
Proceedings Chair
• Md Rafiqul Islam, University of Technology Sydney, Australia
Publicity Chairs
• Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore
• Thanveer Shaik, University of Southern Queensland, Australia
• Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India
Webmaster
• Shiqing Wu, University of Technology Sydney, Australia
*** Call for Participation ***
UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization
June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus
https://www.um.org/umap2023/
ACM UMAP – User Modeling, Adaptation and Personalization – is the premier
international conference for researchers and practitioners working on systems that
adapt to individual users, to groups of users, and that collect, represent, and model
user information. It is sponsored by ACM SIGCHI and SIGWEB, and organized with
User Modeling Inc. as the Steering Committee. The proceedings are published by
ACM and will be part of the ACM Digital Library.
UMAP 2023 will feature 104 technical presentations of various categories (main
conference papers, large breaking results, demos and posters, etc.). The participants
can also attend a number of workshops and tutorials. Finally, the technical program
also includes 3 keynote speakers.
More information can be found on the conference web site.
Please note that the early registration deadline has been extended by one week to June 2.
Symposium on Future Directions in Information Access (FDIA)
tl;dr
11th (PhD) Symposium on Future Directions in Information Access (FDIA) Web: https://2023.essir.eu/FDIA/
Deadline: extended to June 5, 2023
Submission Link: https://easychair.org/my/conference?conf=fdia2023
Contact: fdia2023(a)easychair.org
The 11th (PhD) Symposium on Future Directions in Information Access (FDIA, https://2023.essir.eu/FDIA/) will be held in conjunction with the 14th European Summer School on Information Retrieval (ESSIR 2023, https://2023.essir.eu/FDIA/). The symposium aims to provide a forum for participants of the summer school to share their research and interact with senior researchers in an informal and relaxed atmosphere.
The BCS-IRSG FDIA Symposium is mainly, but not exclusively, turned to PhD students, researchers new to the field, and postdoctoral researchers. The objectives are:
• To provide an accessible forum for new researchers to discuss their research and projects.
• To help foster formative and tentative research ideas.
• To encourage discussion and successful progression.
• To share outcomes of doctoral work.
Call for Papers
We cordially invite Master and PhD students as well as early-stage researchers to submit a paper on their research topic to the symposium. We invite submissions on formative access ideas which present a summary of early-stage researchers’ work, such as initial empirical findings/pilot studies; explore conceptual and/or theoretical models; and/or describe current challenges and opportunities. In particular, submissions focusing on new directions and emerging work in information access and retrieval that potentially create discussion and provoke reaction were strongly encouraged. The submissions will be peer-reviewed by the FDIA Programme Committee members. Accepted submissions will be presented at the symposium, either as a talk or a poster. We plan to publish accepted submissions at CEUR-WS.org or with TU Vienna Press depending on the number of accepted papers. Areas of research include, but are not limited to:
• Information Retrieval Theory
• Human-Computer Interaction and Information Retrieval Interactive IR
• Ethics and Bias in Information Retrieval and Search & Recommendation
• Collaborative Information Seeking and Searching
• Learning to Rank
• Neural IR and Dense Retrieval
• Large Language Models and IR
• Multimedia and Multimodal IR
• Recommender Systems
• Databases + IR
• Semantic Search
• Social Search
• Web IR
• Clustering and Categorization
• Enterprise Search
• Conversational Agents, knowledge graphs
• IR Applications (e.g. Digital Humanities, News IR, IR and Bibliometrics)
Papers should be 4-8 pages in length excluding references for presentation or poster (e.g., an outline of the PhD or Master’s project, a discussion of topics and ideas). Submissions should be converted to PDF and submitted via Easychair. Please use the one-column CEUR style.
Important dates
29.05 - FDIA submission deadline
19.06 - FDIA notification deadline
30.08 - Date of FDIA symposium
Submission Link and Contact
https://easychair.org/my/conference?conf=fdia2023
fdia2023(a)easychair.org
Program Chairs
• Ingo Frommholz, University of Wolverhampton, UK
• Haiming Liu, University of Southampton, UK
• Yashar Moshfeghi, University of Strathclyde, UK
--
Ingo Frommholz, PhD, FBCS, FHEA
Reader (~Associate Professor) in Data Science
Deputy Head Digital Innovations and Solutions Centre (DISC)
University of Wolverhampton, UK
Adjunct Professor, Bern University of Applied Sciences, Switzerland
Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org
Twitter: @iFromm | Mastodon: @ingo@idf.social
PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166
http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166
* Apologies for double posting. The previous post was missing important information. *
The Institute of Artificial Intelligence at Leibniz University Hannover invites applications for the position of a
DOCTORAL OR POSTDOCTORAL RESEARCHER (M/F/D) ON THE TOPIC OF TRUSTWORTHY NATURAL LANGUAGE PROCESSING (NLP) (SALARY SCALE 13 TV-L, 100 %)
starting at the earliest possible date. 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 that involves NLP, aiming for scientific publications at reputed international venues. The position is part of a collaborative project that explores how to employ AI to best support people in a sustainable and responsible use of resources. A focus is on the generation of factual and human-centered explanations, but we encourage the development of own research directions in this context. 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
- Proficient programming skills in Python
- Good scientific writing skills (e.g., 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 machines 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 involving state-of-the-art NLP techniques, such as controlled large language models 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)
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.
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
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 25, 2023 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
Appelstr. 9A, 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/.
You also find the job offer here: https://www.ai.uni-hannover.de/de/institut/open-positions
*Job openings: PhD studentship in Formal Linguistics/ Socially Interactive
Agents/ Machine learning, Université Paris Cité, Sorbonne
Université, IRCAM*
We are inviting applications for one PhD position (3 years) (funding
available 10/2023-09/2026) in the area of formal linguistics, Socially
Interactive Agents (SIAs), and machine learning.
The positions will be funded as part of the CNRS 80-PRIME The Laughing
Infant project jointly held by Jonathan Ginzburg (Laboratoire de
Linguistique Formelle (LLF), Université Paris Cité) , Catherine Pelachaud
(L'institut des systèmes intelligents et de robotique (ISIR), Sorbonne
Université), and Nicolas Obin (Lab Sciences et Technologies de la Musique
et du Son, IRCAM).
The goal of The Laughing Infant (TELIN) project is to synthesize work on
language acquisition, on the semantics and pragmatics of laughter, on
Socially Interactive Agents (SIAs), on analysis and synthesis of laughter,
and on machine learning, with the aim of developing an SIA who will emulate
an infant during the acquisition of laughter and by using this SIA to test
several learning algorithms that take as input different modalities (audio,
facial expression, language) and contexts (playing with toys, interacting
with parents and siblings) and output laughter.
The PhD topic is to develop formal and computational models that compute
when and how a baby robot (the robot Furhat with the mask of a baby)
responds to a participant’s expression and activity. The focus is on the
production of laughter in infants. This involves (i) Analysis of a corpus
of baby laughter (ii) Development of a rigorous theoretical analysis of
laughter during an interaction between a carer and infants, (iii the
development of a computational model based on deep learning that simulates
when laughter should be triggered. The models will be evaluated objectively
as well as through experimental studies.
The successful candidate will work in three areas: formal linguistics,
virtual agent development, and machine learning. They must have a master's
degree in the fields of linguistics, computer science or cognitive science.
The expected skills are: -At least two of the following three skills:
(i) Strong expertise in formal semantics or pragmatics
(ii) Strong expertise in machine learning, and in particular in deep neural
networks.
(iii) Proficiency in python and java.
In addition: - Excellent command of spoken and written scientific English
- Autonomy, teamwork, productivity, rigor and methodology
The successful candidate will be accommodated part of the time at LLF, part
of the time at ISIR and part of the time at IRCAM, in all cases with a
personal workstation. They will benefit from access to the FurHat robot and
the team's GPU computing servers, as well as the servers of the Jean Zay
supercomputer hosted by CNRS-IDRIS. They will have access to the Ircam
media library, as well as to the CNRS and Sorbonne University online
libraries.
Applicants are requested to submit their application, including a cover
letter that specifies why you would like to work on this topic and what
qualifies you for it, an academic CV, your MSc thesis (or a current
draft), copies of academic degree certificates, and names of two potential
references.
The applications should be sent via email directly to Prof. Jonathan
Ginzburg: yonatan.ginzburg (at) u-paris.fr
*The application deadline is June 27th, 2023*
Laboratoire de Linguistique Formelle (LLF) (Université Paris Cité,
http://www.llf.cnrs.fr), L'institut des systèmes intelligents et de
robotique (ISIR) (Sorbonne Université, https://www.isir.upmc.f) and The
Sciences et Technologies de la Musique et du Son lab (IRCAM and Sorbonne
Université, https://www.stms-lab.fr/team/analyse-et-synthese-des-sons) are
internationally prominent CNRS labs in their domains.
—LLF has strengths in formal linguistics (ranging from phonetics and
phonology to
semantics, pragmatics, and the analysis of multimodal dialogue, and
interfacing with sociolinguistics), psycholinguistics (on spoken and signed
languages using EEG, EGG, and Eye Trackers) , and computational
linguistics (in particular using a variety of deep learning techniques).
—ISIR research focuses on robotics and AI. Gathered in multidisciplinary
teams, researchers create drones, micro-tweezers, bionic prostheses, social
robots, surgical arms and all kinds of intelligent and interactive systems,
physical, virtual or mixed reality. ISIR maintains one of the largest robot
fleets in Europe.
—The Sciences et Technologies de la Musique et du Son lab at IRCAM
participates in the renewal of musical expression through the contributions
of computer science, acoustics, signal processing, cognitive sciences, and
musicology. The focus is on music and organized sound in a unique context
where contemporary creation meets scientific and technological research. In
particular, the Sound Analysis & Synthesis team carries out research and
development activity in sound analysis, transformation, and synthesis of
sound signals.
Dear List,
Please take good note of the Job Opportunity at the European Commission’s Joint Research Centre (see details blow) in Ispra, Italy.
Please feel free to forward it to any potentially interested member of your networks.
Best Regards,
Bertrand DE LONGUEVILLE, PhD
Head of the Text Mining and Analysis Competence Centre (TMACC)
[1601448337241]
European Commission
Joint Research Centre (JRC)
Directorate T:Digital Transformation and Data<https://intracomm.ec.testa.eu/SYSPER2/org/vieworganisationjobs_jd.do?viewOb…>
Unit T5 Text and Data Mining
Rue du Champ de Mars 21 – CDMA 04/171
B-1049 Brussels/Belgium
Phone : +32 2 29 52555
[cid:image002.jpg@01D98FFA.6DEB6680]
The European Commission’s Text Mining and Analysis Competence Centre (TMACC<https://knowledge4policy.ec.europa.eu/text-mining_en>) and Europe Media Monitor project (EMM<https://knowledge4policy.ec.europa.eu/online-resource/europe-media-monitor-…>), hosted by the Joint Research Centre (JRC), are looking for two Machine Learning experts to reinforce their Natural Language Processing scientific teams.
The Unit's day-to-day work involves processing vast amounts of textual data, including news, legal acts, political speeches, discussion fora, and social media postings, to the benefit Science-for-Policy projects within the EU Institutions.
The job is based in Ispra, Italy.
An ideal candidate will have a PhD or a minimum of 3 years of professional experience after university, an academic background in Computer Science, Artificial Intelligence or similar, and hands-on experience in developing Text Mining applications.
Contract duration: 36 months initial contract with possible renewals up to maximum 6 years.
The basic monthly salary for Function Group IV (depending on years of experience): 3 555,98 - 6 593,66€. In addition to the basic salary, the candidate may be eligible for various allowances (including expatriation and household allowances). For further information, see: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020XC1211(0…
The JRC has short-term accommodation facilities for newcomers.
The JRC has childcare facilities for children under 4 years old. Children above 4 years can attend the European School of Varese (https://www.eurscva.eu/en/home/), for which transport is organised from the surrounding areas.
To apply:
1. Create a profile on one of these two application portals:
a. JRC specialised call for researchers https://joint-research-centre.ec.europa.eu/working-us/jobs-jrc/temporary-po… OR
b. EPSO Permanent CAST https://epso.europa.eu/en/documents/2240 (less adequate for researcher profiles, but should be considered if you are familiar/have succeeded in such competitions)
2. Once you have created your profile via one of the above portals, create your application via: https://recruitment.jrc.ec.europa.eu/?type=AX
The available position appears among the open positions with the following identifiers:
2023-IPR-T5-FGIV-023038 - ISPRA
IT Project Officer – NLP Scientific Research<https://recruitment.jrc.ec.europa.eu/showprj.php?type=A&id=2584&target=>
!! Deadline: 05/06/2023 (will most likely be extended for 2 week, but hurry up,still ☺ )!!
#machinelearning #artificialintelligence #job #nlp #textmining #jrc #workfortheEU
📣 📣 Please Share widely with your network, thank you! 📣 📣
Hello,
Last minute reminder!
We're writing with an updated call for proposals for the Law and Corpus Linguistics Conference to be held on Friday, October 13, 2023, with pre-conference workshops on Thursday, October 12. The conference will be held at Brigham Young University's J. Reuben Clark Law School in Provo, Utah.
We're pleased to announce that the keynote address at this year's conference will be given by D. Gordon Smith, Dean of the J. Reuben Clark Law School at Brigham Young University. Gordon has made tremendous contributions to the field of law and corpus linguistics, and we're excited to have him as this year's keynote speaker.
Proposals are invited for individual papers and panels. We're open to submissions on a broad range of topics, including but not limited to:
* applications of corpus linguistics to the constitutional, statutory, contract, patent, trademark, probate, administrative, and criminal law in any state or nation;
* philosophical, normative, and pragmatic commentary on the use of corpus linguistics in the law;
* triangulation between corpus linguistics and other empirical methods in legal interpretation;
* corpus linguistic analysis of the law of countries other than the United States;
* the relationship between corpus linguistics and pragmatics (e.g. implicature, presupposition, sociolinguistic context);
* corpus-based analysis of legal discourse or topics;
* best practices in corpus design and corpus linguistic methods in legal settings.
We have a new proposal deadline of May 31, 2023. Proposals should include an abstract of no more than 750 words and complete contact information for presenters. Please send proposals to byulawcorpus(a)law.byu.edu<mailto:byulawcorpus@law.byu.edu>. More information about the conference can be found at https://corpusconference.byu.edu/2023-home/<https://l.facebook.com/l.php?u=https%3A%2F%2Fcorpusconference.byu.edu%2F202…>.
Best,
BYU LCL 2023 Conference Organizing Committee (Thomas Lee, Jesse Egbert, Brett Hashimoto, James Heilpern and James Phillips)