*Asia Pacific Journal of Corpus Research (APJCR) is now available online:*
http://icr.or.kr/ejournals-apjcr
*The Incredible Shrinking Noun Phrase: Ongoing Change in Japanese Word
Formation*Kevin Heffernan, (Kwansei Gakuin University), JAPAN; Yusuke
Imanishi (Kwansei Gakuin University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.1
________________________________________
*Identifying Key Grammatical Errors of Japanese English as a Foreign
Language Learners in a Learner Corpus: Toward Focused Grammar Instruction
with Data-Driven Learning*
Atsushi Mizumoto (Kansai University), JAPAN; Yoichi Watari (Chukyo
University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.25
________________________________________
*A Comparison of the Constructions Make / Take a Decision in Malaysian
English with the Supervarieties *
Christina Sook Beng Ong (Wawasan Open University), MALAYSIA
DOI: https://doi.org/10.22925/apjcr.2023.4.1.43
________________________________________
*Effects of Corpus Use on Error Identification in L2 Writing *
Yoshiho Satake (Aoyama Gakuin University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.61
---
*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
H(EN): http://ckjung.org
== 12th NLP4CALL, Tórshavn, Faroe Islands==
The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other.
The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools.
The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field.
We welcome papers:
- that describe research directly aimed at ICALL;
- that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning;
- that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback;
- that discuss challenges and/or research agenda for ICALL
- that describe empirical studies on language learner data.
This year a special focus is given to work done on error detection/correction and feedback generation.
We encourage paper presentations and software demonstrations describing the above- mentioned themes primarily, but not exclusively, for the Nordic languages.
==Shared task==
NEW for this year is the MultiGED shared task on token-level error detection for L2 Czech, English, German, Italian and Swedish, organized by the Computational SLA working group.
For more information, please see the Shared Task website: https://github.com/spraakbanken/multiged-2023
==Invited speakers==
This year, we have the pleasure to announce two invited talks.
The first talk is given by Marije Michel from the University of Amsterdam.
The second talk is given by Pierre Lison from the Norwegian Computing Center.
==Submission information==
Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references.
We will be using the NLP4CALL template for the workshop this year. The author kit can be accessed here, alternatively on Overleaf:
<https://spraakbanken.gu.se/sites/default/files/2023/NLP4CALL%20workshop%20t…>
<https://spraakbanken.gu.se/sites/default/files/2023/nlp4call%20template.doc>
<https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…>
Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2023>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments.
Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>).
==Important dates==
03 April 2023: paper submission deadline
21 April 2023: notification of acceptance
01 May 2023: camera-ready papers for publication
22 May 2023: workshop date
==Organizers==
David Alfter (1), Elena Volodina (2), Thomas François (3), Arne Jönsson (4), Evelina Rennes (4)
(1) Gothenburg Research Infrastructure for Digital Humanities, Department of Literature, History of Ideas, and Religion, University of Gothenburg, Sweden
(2) Språkbanken, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden
(3) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium
(4) Department of Computer and Information Science, Linköping University, Sweden
==Contact==
For any questions, please contact David Alfter, david.alfter(a)gu.se
For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…>
Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>
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.
[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
---------------------------------------------------------------
First CALL FOR PAPERS
----------------------------------------------------------------
International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL 2024 (https://splu-robonlp-2024.github.io/ <https://splu-robonlp-2024.github.io/>)
Location: Bangkok, Thailand
Date: August 16, 2024
---------------------------------------------------------------
IMPORTANT DATES
---------------------------------------------------------------
Important Dates
- Submission Deadline: 17 May 2024 (Anywhere on Earth)
- Notification of Acceptance: 17 June 2024 (Anywhere on Earth)
- Camera Ready Deadline: 1 July 2024 (Anywhere on Earth)
- Workshop Day: 16 August 2024 (co-located with ACL 2024)
---------------------------------------------------------------
AIM AND SCOPE
---------------------------------------------------------------
Leveraging the foundation built in the prior workshops SpLU-RoboNLP 2023, SpLU-RoboNLP 2021, SpLU 2020, SpLU-RoboNLP 2019, SpLU 2018, and RoboNLP 2017, we propose the fourth combined workshop on Spatial Language Understanding and Grounded Communication for Robotics. Natural language communication with general-purpose embodied robots has long been a dream inspired by science fiction, and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. In particular, given the rise of large vision and language generative models, spatial language understanding and natural interactions have become more exciting topics to explore. This joint workshop aims to bring together the perspectives of researchers working on physical robot systems with human users, simulated embodied environments, multimodal interaction, and spatial language understanding to forge collaborations.
---------------------------------------------------------------
TOPICS OF INTEREST
---------------------------------------------------------------
We are interested in but not limited to original research in developing computational models, benchmarks, evaluation metrics, analysis, surveys, and position papers on the following topics:
- Deployment of Large Language Models for Situated Dialogue and Language Grounding
- Spatial Reasoning with Large Language Models
- Aligning and Translating Language to Situated Actions
- Evaluation Metrics for Language Grounding and Human-Robot Communication
- Human-Computer Interactions Through Natural or Structural Language
- Instruction Understanding and Spatial Reasoning based on Multimodal Information for Navigation, Articulation, and Manipulation
- Interactive Situated Dialogue for Physical Tasks
- Language-based Game Playing for Grounding
- Spatial Language and Skill Learning via Grounded Dialogue
- (Spatial) Language Generation for Embodied Tasks
- (Spatially-) Grounded Knowledge Representations
- Spatial Reasoning in Image and Video Diffusion Models
- Qualitative Spatial Representations and Neuro-symbolic Modeling
- Utilization and Limitations of Large (Multimodal-)Language Models in Spatial Understanding and Grounded Communication
---------------------------------------------------------------
INVITED SPEAKERS
---------------------------------------------------------------
We are open to the nomination of speakers and encourage self-nomination. The speakers are REQUIRED to attend the workshop in person. We aim to gather a diverse set of senior/junior speakers from academia/industry who work on related topics in language, vision and robotics and did not have a chance to speak in the past versions of the workshop.
If you are interested, please email splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com> and include your tentative topic.
---------------------------------------------------------------
SUBMISSION AND SELECTION PROCESS
---------------------------------------------------------------
* Long Papers *
Technical papers: ACL style, 8 pages excluding references
* Short Papers *
Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references
ACL Style Files (GitHub): https://github.com/acl-org/ACLPUB/tree/master/templates <https://github.com/acl-org/ACLPUB/tree/master/templates>
ACL Style Files (Overview): https://www.overleaf.com/read/crtcwgxzjskr <https://www.overleaf.com/read/crtcwgxzjskr>
OpenReview Submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP>
Non-Archival Option: ACL workshops are traditionally archival. To allow dual submission of your work to SpLU-RoboNLP 2024 from *ACL Findings and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please apply the ACL format and submit through OpenReview, but indicate that this is a cross-submission (non-archival) at the bottom of the submission form.
---------------------------------------------------------------
ORGANIZING COMMITTEE
---------------------------------------------------------------
Parisa Kordjamshidi, Michigan State University
Malihe Alikhani, Northeastern University
Xin Eric Wang, University of California Santa Cruz
Yue Zhang, Michigan State University
Ziqiao Ma, University of Michigan
Mert Inan, Northeastern University
---------------------------------------------------------------
ADVISING COMMITTEE
---------------------------------------------------------------
Raymond J. Mooney, The University of Texas at Austin
Joyce Y. Chai, University of Michigan
Anthony G. Cohn, University of Leeds
---------------------------------------------------------------
CONTACT
---------------------------------------------------------------
Feel free to contact the Organizing Committee at splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com>.
-------------------------------------------
------------------------------------------------
Kordjamshidi, Parisa
Assistant Professor
Computer Science and Engineering
Michigan State University
http://www.cse.msu.edu/~kordjams/ <http://www.cse.msu.edu/~kordjams/>
Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/
Woman, Life, Freedom
*Apologies for crossposting*
We are proud to announce that the Multilingual Holistic Bias task is now open in Dynabench <https://dynabench.org/>. The main objectives of this task are:
To investigate the quality of MT systems on the particular case of gender preservation for tens of languages
To examine and understand special gender challenges in translating in different language families.
To investigate the performance of gender translation of low-resource, morphologically rich languages
To open to the community the first challenge of this kind
While the task is intended to be open without a particular deadline, we encourage you to submit models by April 15th and participate in the shared task from the 5th Workshop on Gender Bias in Natural Language Processing <https://genderbiasnlp.talp.cat/gebnlp-2024/shared-task-on-machine-translati…>.
We are looking forward to having your participation!
Shared Task organizers
(Apologies for cross-posting)
*CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition
adaptation shared task (multilingual & cardiology)*
*https://temu.bsc.es/multicardioner/ <https://temu.bsc.es/multicardioner/>*
The MultiCardioNER track focuses on the adaptation of clinical NER systems
to specific high impact clinical application domains (cardiovascular
diseases, the leading cause of death globally) as well as to multiple
languages (English, Spanish and Italian), focusing on two clinical entity
types: diseases and medications.
*Key information:*
· *Web*: https://temu.bsc.es/multicardioner
· *Data*: https://zenodo.org/records/10948355
· *BioASQ** web*: http://bioasq.org/
· *Registration**:* https://temu.bsc.es/multicardioner/registration/
*Motivation *The extraction of clinical variables from medical content is
key to enable efficient healthcare data analytics. Due to the highly
specialized medical language, with considerable variation depending on the
medical discipline, more specialized automatic semantic annotation
resources are needed, not only for English but also other languages.
This is particularly true for clinical content related to cardiovascular
diseases (CVDs), which represent the leading cause of death globally,
responsible for approximately 17.9 million deaths/year.
The MultiCardioNER task will focus on the automatic recognition of two key
clinical variables or concept types, namely diseases and medications in
cardiology clinical case documents with the following two aims:
· Adaptation of general clinical concept recognition systems to
cardiology case reports to assess and determine how well such systems can
be adapted to high impact clinical application domains / specialties
(cardiology disease NER - CardioDis subtrack: Spanish).
· Promote the comparative assessment and development of clinical
entity recognition systems for multiple languages (i.e., medication mention
detection) as well as adaptation to specific medical specialties (MultiDrug
subtrack: English, Spanish and Italian)
To enable the adaptation of general medical NER systems for diseases and
medications the MultiCardioNER task will rely on a training collection of
1000 general clinical case reports in Spanish annotated with diseases
(Spanish) and medications (English, Spanish and Italian).
Moreover, to be able to adapt such general medical NER approaches to
cardiology case reports a development set of 250 cardiology cases will be
released. The test set will consist of an additional test collection of 250
cardiology case reports.
The evaluation of systems for this task will use flat evaluation, mainly
micro-averaged Precision, Recall and F-measure (MiF).
Sub-tracks:
*Subtask 1 (CardioDis): *Spanish adaptation of disease recognition systems
to the cardiology domain
*Subtask 2 (MultiDrug): *Multilingual (Spanish, English and Italian)
adaptation of medication recognition systems to the cardiology domain
*Tentative schedule*
· MultiCardioNER Train+Dev Set Release April 9th, 2024
· MultiCardioNER Annotation Guidelines Release April 17th,
2024
· MultiCardioNER Gazetteer Release April 17th, 2024
· MultiCardioNER Test Set Texts Release May 2nd, 2024
· Participant Test Predictions Deadline
· May 15th, 2024
· Participant Evaluation Result Release May 19th, 2024
· Submission of Participant Papers Deadline May 31st, 2024
· Notification of Acceptance of Participant Papers June
24th, 2024
· Submission of Camera-ready Participant Papers Deadline
July 8th, 2024
· BioASQ @ CLEF2024 September 9th-12th, 2024
*Publications & conference*
Following previous BioASQ/CLEF efforts, participating teams will be invited
to contribute a short systems description paper for the CLEF 2024
proceedings, and to give a short presentation of their approach at the
BioASQ workshop at the CLEF 2024 conference (September 09-12, 2024, in
Grenoble, France)
*The **MultiCardioNER Organizers & collaborators:*
- Salvador Lima-López, Barcelona Supercomputing Center (BSC), Spain
- Eulàlia Farré-Maduell, Barcelona Supercomputing Center (BSC), Spain
- Jan Rodríguez-Miret, Barcelona Supercomputing Center (BSC), Spain
- Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain
- Anastasios Nentidis, National Center for Scientific Research
Demokritos, Greece
- Anastasia Krithara, National Center for Scientific Research
Demokritos, Greece
- Georgios Katsimpras, National Center for Scientific Research
Demokritos, Greece
- Livia Lilli, Fondazione Policlinico Universitario Agostino Gemelli
IRCCS, Italy
- Jacopo Lenkowicz, Fondazione Policlinico Universitario Agostino
Gemelli IRCCS, Italy
- Jonathan Kossoff, University College London Hospitals NHS Foundation
Trust, UK
- Giovanna Ceroni, University College London, UK
- Anoop Shah, University College London Hospitals NHS Foundation Trust,
UK
=======================================
Martin Krallinger, Dr.
Head of NLP for Biomedical Information Analysis Unit
Barcelona Supercomputing Center (BSC-CNS)
https://www.linkedin.com/in/martin-krallinger-85495920/
=======================================
[Apologies for cross-posting]
We invite you to participate in the shared task on Empathy and Personality
Detection in interactions, organized as part of WASSA 2024
<https://workshop-wassa.github.io/>at ACL 2024 <https://2024.aclweb.org/>.
This task aims to develop models that can predict Empathy, Emotion, and
Personality recognition in short text and at the speech-turn in a
conversation.
Task Description
You can participate in five different tracks:
-
Track 1: Empathy Prediction in Conversations (CONV-dialog), which
consists in predicting the perceived empathy at the dialog-level
-
Track 2: Empathy and Emotion Prediction in Conversations Turns
(CONV-turn), which consists in predicting the perceived empathy, emotion
polarity, and emotion intensity at the speech-turn-level in a conversation
-
Track 3: Empathy Prediction (EMP), which consists in predicting both the
empathy concern and the personal distress at the essay-level
-
Track 4: Personality Prediction (PER), which consists in predicting the
personality (openness, conscientiousness, extraversion, agreeableness, and
emotional stability; OCEAN) of the essay writer, knowing all of their
essays, dialogs, and the news article from which they reacted
Note: You are free to participate in any or both tracks.
For participation, please check:
https://codalab.lisn.upsaclay.fr/competitions/18810
Important Dates
-
April 24, 2024: Codalab competition website goes online, and
training/development data released
-
May 29, 2024: Evaluation phase begins: test data released
-
June 1, 2024: Evaluation phase ends: Deadline for final submission on
Codalab
-
June 12, 2024: Deadline system description paper (max. 4p)
-
June 22, 2024: Notification of acceptance
-
July 1, 2024: Camera-ready papers due
Task Organizers
-
Salvatore Giorgi - National Institute on Drug Abuse [C], USA
-
Valentin Barriere - Universidad de Chile , Chile
-
Joao Sedoc - New York University, USA
-
Shabnam Tafreshi - Evernorth Healthcare, USA
Contact
wassa24empathy [at] gmail [dot] com
Join Google Group
wassa24empathy(a)googlegroups.com
*Call for Participation: The Workshop on Holocaust Testimonies as Language
Resources*
Date: 21 May 2024 (full day)
Venue: Lingotto Conference Centre, Turin, Italy
Webpage and programme: https://www.clarin.eu/HTRes2024
<https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…>
<https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…>
*Registration*
Registration is obligatory and can be carried out via the LREC-COLING 2024
website: https://lrec-coling-2024.org/.
Workshop description
Holocaust testimonies serve as a bridge between survivors and history’s
darkest chapters, providing a connection to the profound experiences of the
past. Testimonies stand as the primary source of information that describe
the Holocaust, offering first-hand accounts and personal narratives of
those who experienced it. The majority of testimonies are captured in an
oral format, as survivors vividly explain and share their personal
experiences and observations from that time period. Transforming Holocaust
testimonies into a machine-processable digital format can be a difficult
task owing to the unstructured nature of the text. The creation of
accessible, comprehensive, and well-annotated Holocaust testimony
collections is of paramount importance to our society. These collections
empower researchers and historians to validate the accuracy of socially and
historically significant information, enabling them to share critical
insights and trends derived from these data. This workshop will investigate
a number of ways in which techniques and tools from natural language
processing and corpus linguistics can contribute to the exploration,
analysis, dissemination and preservation of Holocaust testimonies.
*Programme*
Please refer to the website for the details of the programme:
https://www.clarin.eu/HTRes2024
Contact Email: holocausttlr(a)gmail.com
*Invited speakers*
Silvia Calamai (Siena University)
Michal Frankl (Masaryk Institute and Archives of the Czech Academy of
Sciences)
*Organising Committee*
Isuri Anuradha, University of Wolverhampton, UK
Ingo Frommholz, University of Wolverhampton
Francesca Frontini, CNR-ILC, Italy & CLARIN
Martin Wynne, Oxford University, UK
Ruslan Mitkov, Lancaster University, UK
Paul Rayson, Lancaster University, UK
Alistair Plum, University of Luxembourg, Luxembourg
*Summary*
• Subject: Language & vision-based mobility assistance for visually
impaired people
• Keywords: Assistive Technologies, Visual Impairment, Computer Vision,
Image Captioning
• Research Unit: Lab-STICC (UMR CNRS 6285)
• Team: RAMBO - Robot interaction, Ambient system, Machine learning,
Behaviour, Optimization
• Location: IMT Atlantique, Brest
• Start: September/October 2024
• Duration: 3 years
• Supervision: Panagiotis Papadakis, Christophe Lohr
*Full subject description:*
https://www.imt-atlantique.fr/sites/default/files/recherche/Offres%20de%20t…
*Application *
The candidate must hold (or is about to obtain) a Master Degree in
Computer Science with theoretical and practical skills in AI algorithms
and associated deep-learning tools (e.g. Pytorch), and a solid
background in Computer Vision.
The candidate should be fluent in English (working and publishing main
language), but French speaking is an advantage (meetings with end-users
representatives).
A detailed application should be addressed to
thesis-application-rambo(a)imt-atlantique.fr, including a cover letter, an
up-to-date CV, transcripts of grades (last two years), and a list of
referees.
*Deadline: 17 May 2024
*