1 PhD-Position in Educational NLP
We invite applications for a fully funded PhD position at the University of Hildesheim (100%, TV-L E13 according to the German system) in the field of Educational NLP on topics such as automatic free-text assessment, feedback and exercise generation. The position starts in May, a later date is negotiable. It is initially funded for 3 years, an extension is possible.
An ideal candidate has a master’s degree in computational linguistics, computer science, or a related discipline. Programming experience in Python and some experience in machine learning is expected. The position comes with a teaching obligation of 4 hours per week. The ability to teach in German is required.
For more details including information on the application process, please refer to: https://bewerbung.uni-hildesheim.de/jobposting/c9651389f3ee489f7f95abc46c04…
I am happy to answer questions (andrea.horbach(a)fernuni-hagen.de<mailto:andrea.horbach@fernuni-hagen.de>).
Best regards, Andrea
Andrea Horbach
CATALPA - Center of Advanced Technology for Assisted Learning and Predictive Analytics<https://www.fernuni-hagen.de/forschung/schwerpunkte/catalpa/index.shtml>
Nachwuchsgruppenleitung / Junior Research Group Leader „EduNLP“
________________________________
FernUniversität in Hagen
Gebäude 5 (PRG), Raum A107, Fon: 02331 987 1702
www.fernuni-hagen.de<https://www.fernuni-hagen.de/>
*Call for Papers: The 1st International Workshop on Implicit Author
Characterization from Texts for Search and Retrieval (IACT’23) *
The workshop will be held in conjunction with the 46th International ACM
SIGIR Conference on Research and Development in Information Retrieval
Workshop website: https://en.sce.ac.il/news/iact23
July 27, 2023. Taipei, Taiwan.
Paper submission deadline: April 25, 2023, AoE
Submission link: https://easychair.org/conferences/?conf=iact23
To bring the research community's attention to the limitations of current
models in recognizing and characterizing AI vs. human authors, we organize
the first edition of IACT workshops under the umbrella of the SIGIR
conference. Research works submitted to the workshop should foster
scientific advances in all aspects of author characterization.
All papers must be original and not simultaneously submitted to another
journal or conference. The following paper categories are welcome:
- *Full research papers*: up to 8 pages. Original and high-quality
unpublished contributions to the theory and practical aspects of the
workshop topics.
- *Short research* *papers*: up to 5 pages. It can describe ongoing
research, resources, and demos.
- *Negative results* *papers*: up to 5 pages. Highlighting tested
hypotheses that did not get the expected outcome is also welcomed.
- *Position papers*: up to 5 pages. Discussing current and future
research directions.
The length constraints do not include references.
The submissions must be anonymous and will be peer-reviewed by at least two
program committee members.
The authors of accepted papers will be given 15 minutes for a short oral
presentation. The workshop will run as a hybrid event to allow virtual
attendance and meet the SIGIR format.
Papers must be submitted electronically in PDF format through Easy Chair
<https://easychair.org/conferences/?conf=iact23>. All submissions must be
in English and formatted according to the one-column CEUR-ART style with no
page numbers. Templates in Word or LaTeX can be found in the following zip
folder at http://ceur-ws.org/Vol-XXX/CEURART.zip. There is also an Overleaf
<https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…>
page
for LaTeX users.
Research works submitted to the workshop should foster the scientific
advance on all aspects of implicit author information extraction from text,
including but not limited to the following:
- Differentiation between AI-generated content and human-generated
content and bot profiling
- Characterization of conversational agents
- Feature detection of authors for human vs. AI determination
- Prompt understanding and recognition in language models
- Personalized question answering and conversation generation
- Troll identification on social media
- Review authenticity estimation
- Multi-modal, multi-genre, and multilingual author analysis
- Character analysis, description, and representation in narrative texts
- Detecting implicit expressions of sentiment, emotion, opinion, and bias
- Transfer learning for implicit author characterization
- Implicit author characterization annotation schema
- Evaluation of implicit author characterization
- Author characterization in low-resource languages and under-studied
domains
- Accountability and regulation of AI-based information extraction,
retrieval, and content generation
- Copyright issues of AI-generated content
- Ethical and privacy implications of author characterization and
implicit information extraction
- Fairness and bias of AI-generated content
Organizing Committee:
- Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering
Beer Sheva; Israel
- Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering
Beer Sheva; Israel
- Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto,
Portugal
- Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar
INESC TEC, Portugal; Porto, Portugal
- Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck;
Innsbruck, Austria
Invited Speakers:
- Prof. Mark Last - Ben-Gurion University of the Negev, Israel
- Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany
IACT’23 proceedings will be published at CEUR workshop proceedings (indexed
in Scopus and DBLP) as long as they do not conflict with previous
publication rights.
Contact:
- Dr. Marina Litvak: litvak.marina(a)gmail.com
- Dr. Irina Rabaev: irinar(a)ac.sce.ac.il
--
Best regards,
Marina Litvak
**Second Workshop on Modelling Translation: Translatology in the Digital
Age**
** CFP deadline extension MoTra-2023 **
Paper submissions:
20 March 2023 --> 27 March 2023
Submissions page:
https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra
Website:
https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/
Workshop Day: May 22, 2023
Location: Tórshavn, Faroe Islands (hybrid format)
**Topic and Goals of the Workshop**
MoTra-2023 aims to promote interdisciplinary and computational
approaches to human translation, offering an opportunity for researchers
in empirical translation studies, computational and corpus linguistics,
NLP, cognitive science to exchange knowledge and methodological
expertise in modelling various aspects of translation. Along with
traditional research questions related to translationese, variation in
translation, translation quality assessment, we encourage submissions on
interpreting studies, multimodal translation, modelling translational
strategies from cognitive, semantic and pragmatic perspectives as well
as contributions presenting language resources for translation studies
and translation-related software. We are particularly interested in
forging a link between translation studies and machine translation and
invite research at the interface of these fields.
This event seeks to follow up on the investigations reported by the
previous edition of the workshop. The proceedings of MoTra-2021 covered
a wide range of topics in translatology enhancing the understanding of
*translationese*, i.e linguistic specificity of translations setting
them apart from non-translations in the target language and exploring
*variation in human translation*, including in contrast with machine
translation (https://aclanthology.org/volumes/2021.motra-1/).
The contributions described computational and NLP methods to model
translation varieties (student/professional, human/machine,
written/spoken) and translation processes/solutions, especially around
particular items (translation problem triggers, discourse markers,
adjectives, polarity items), and reported the results of manual
linguistic analysis of modelling outcomes.
**The workshop invites submissions on relevant research topics,
including but not limited to:**
- Translation and translationese detection, source language
identification and quantitative analysis of translations
- NLP approaches to translationese
- Analysis and interpretation of variation in translation according to
context (domain, register, genre), mode and medium (spoken, written,
audio-visual), translator (professional, novice, crowd-sourced),
recipient (simplified language) etc.
- Intrinsic and extrinsic evaluation of translation models
- Research at the interface between translation studies and machine
translation
- Contextualized and multimodal translation analysis
- Computational semantics and pragmatics applied to translation studies
- Sentiment and emotion analysis of translations
- Human translation quality assessment and annotation
- Computational models of translation types such as communicative
translation, semantic translation, transcreation, intralingual
translation, etc.
- New corpora for translation studies, such as literary translation
corpora, interpreting transcript datasets, learner translator corpora, etc.
- Translation, post-editing, (error) annotation software
- Cognitive modelling of translation processes, including cognitive load
measurements and communication optimisation in translation
**Invited Speakers**
Maarit Koponen (University of Eastern Finland)
**Program Committee**
Silvia Bernardini (University of Bologna)
Mario Bisiada (Universitat Pompeu Fabra)
Yuri Bizzoni (Aarhus University)
Lynne Bowker (University of Ottawa)
Michael Carl (Kent State University)
Oliver Czulo (Leipzig University)
Cristina España i Bonet (DFKI GmbH)
Alex Fraser (LMU Munich)
Alina Karakanta (University of Trento)
Stella Neumann (RWTH Aachen University)
Antoni Oliver (Open University of Catanlunya)
Maja Popovic (ADAPT Centre, DCU)
Moritz Schaeffer (University of Mainz)
Tatiana Serbina (RWTH Aachen University)
Serge Sharoff (University of Leeds)
Antonio Toral (University of Gröningen)
**Organizers’ Contacts**
Maria Kunilovskaya (maria.kunilovskaya(a)uni-saarland.de)
Ekaterina Lapshinova-Koltunski (lapshinovakoltun(a)uni-hildesheim.de)
Elke Teich (e.teich(a)mx.uni-saarland.de)
**Important Dates**
- Monday, March 20, 2023 -> Monday, March 27, 2023: Workshop paper
submission deadline
- Monday, April 17, 2023 -> Wednesday, April 19, 2023: Notification of
acceptance
- Monday, May 1, 2023: Camera-ready workshop papers due
- Monday, May 22, 2023: The workshop day
**Paper Submission**
We invite submissions of three kinds:
- long papers on substantial, original, and unpublished research,
including empirical evaluation of results, up to 8 pages without references;
- short papers on smaller, focused contributions, negative results,
surveys, or opinion pieces, up to 4 pages without references; and
- demonstration papers on software, systems, interfaces,
infrastructures, language resources, data collections, or annotations,
up to 4 pages without references.
Papers accepted for presentation at the conference will appear in the
NoDaLiDa 2023 proceedings, published as part of the NEALT Proceedings
Series and in the ACL Anthology.
Accepted papers will appear on the workshop website
(https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/),
too.
All submissions should be anonymous and should follow the official
Nodalida 2023 LaTeX template (see
https://www.nodalida2023.fo/call-for-papers/). The ACL author guidelines
and anonymity rules apply.
Papers that have been or will be submitted to other venues must indicate
this at submission time, and must be withdrawn from the other venues if
accepted to NoDALiDa 2023. At least one author of each accepted paper
must register to attend the workshop.
The submissions are planned through OpenReview. Submissions page:
https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra
To inquire about the submission and reviewing process or generally the
workshop’s scientific program, please email: Maria Kunilovskaya
maria.kunilovskaya(a)uni-saarland.de
The workshop will be held in a hybrid format in conjunction with the
NoDaLiDa Conference (https://www.nodalida2023.fo/) in Tórshavn, Faroe
Islands.
*SEM 2023 Final Call for Papers
(https://sites.google.com/view/starsem2023)
Deadline extension: March 18 → March 24, 2023!
*SEM brings together researchers interested in the semantics of natural languages and its computational modeling. The conference embraces data-driven, neural, and probabilistic approaches, as well as symbolic approaches and everything in between; practical applications and resources as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a stable forum for the growing number of NLP researchers working on all aspects of semantics of (many and diverse!) natural languages.
Topics of interest include, but are not limited to:
* Lexical semantics and word representations
* Compositional semantics and sentence representations
* Statistical, machine learning and deep learning methods for semantics
* Multilingual and cross-lingual semantics
* Word sense disambiguation and induction
* Semantic parsing; syntax-semantics interface
* Frame semantics and semantic role labeling
* Textual inference, entailment and question answering
* Formal approaches to semantics
* Extraction of events and causal and temporal relations
* Entity linking; pronouns and coreference
* Discourse, pragmatics, and dialogue
* Machine reading
* Extra-propositional aspects of meaning
* Multiword and idiomatic expressions
* Metaphor, irony, and humor
* Knowledge mining and acquisition
* Common sense reasoning
* Language generation
* Semantics in NLP applications: sentiment analysis, abusive language detection, summarization, fact-checking, etc.
* Multidisciplinary research on semantics
* Grounding and multimodal semantics
* Human semantic processing
* Semantic annotation, evaluation, and resources
* Semantics for low-resource and
* Ethical aspects and bias in semantic representations
We encourage authors to think about the ethical aspects of their work, and to address and discuss all ethical questions and implications relevant to their research. STARSEM values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here<https://folk.idi.ntnu.no/odderik/reproducibility_guidelines.pdf>.
Important dates
Paper submission deadline: 24 March 2023, AoE (extended!)
Commitment deadline for ARR-reviewed papers: 17 April 2023, AoE
Notification of acceptance: 15 May 2023
Camera-ready deadline: 29 May 2023, AoE
STARSEM conference: 13-14 July 2023 (co-located with ACL 2023)
Submission instructions
Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Please note that double submission of papers will need to be notified at submission.
Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions.
Submissions should follow the ACL 2023 formatting requirements<https://2023.aclweb.org/calls/style_and_formatting/>. ACL Rolling Review (ARR) submissions can be committed to *SEM up to April 16th (OpenReview link to commit TBA), but new submissions need to be submitted through softconf by the March 18 deadline and will be reviewed by the *SEM-2023 program committee. Limitations and Ethics Statement sections after the conclusion (not counting towards the overall page limit) are allowed and encouraged, but they are not mandatory. In *SEM there is no special policy against multiple submissions, but this should be indicated at submission time.
Submission link: https://softconf.com/acl2023/StarSEM2023
Organisers
General Chair:
Mohammad Taher Pilehvar, Tehran Institute for Advanced Studies
Program Chairs:
Jose Camacho-Collados, Cardiff University
Alexis Palmer, University of Colorado Boulder
Anonymity period
To protect the integrity of double-blind review and ensure that submissions are reviewed fairly, we adopt the rules and guidelines for ACL conferences. The following rules and guidelines make reference to the anonymity period, which runs from 1 month before the submission deadline (starting February 18, 2023 11:59PM UTC-12:00) up to the date when your paper is either accepted, rejected (May 12, 2023), or withdrawn.
* You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. By a version of a paper we understand another paper having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length (e.g., an abstract is a version of the paper that it summarizes).
* If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the program chair(s) that a non-anonymized version exists.
* You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period.
* Note that, while you are not prohibited from making a non-anonymous version available online before the start of the anonymity period, this does make double-blind reviewing more difficult to maintain, and we therefore encourage you to wait until the end of the anonymity period if possible. Alternatively, you may consider submitting your work to the Computational Linguistics journal, which does not require anonymization and has a track for “short” (i.e., conference-length) papers.
Website
Further information can be found online at: https://sites.google.com/view/starsem2023
Alexis Palmer
Assistant Professor
Department of Linguistics
University of Colorado Boulder
alexis.palmer(a)colorado.edu<mailto:alexis.palmer@colorado.edu>
303-735-0418
We invite you to participate in the shared task on Empathy Emotion and Personality Detection in Interactions, organized as part of WASSA 2023 at ACL 2023. This task aims to develop models that can predict Empathy, Emotion, Personnality recognition in short text and at the speech-turn in a conversation.
**Task Description**
We have a new task this year, with conversational data!
You can participate in five different tracks:
Track 1: Empathy and Emotion Prediction in Conversations (CONV), which consists in predicting the perceived empathy, emotion polarity and emotion intensity at the speech-turn-level in a conversation
Track 2: Empathy Prediction (EMP), which consists in predicting both the empathic concern and the personal distress at the essay-level
Track 3: Emotion Classification (EMO), which consists in predicting the emotion at the essay-level, in a multi-label way
Track 4: Personality Prediction (PER), which consists in predicting the personality (Big Five) of the essay writer, knowing all his/her essays and the news article from which they reacted
Track 5: Interpersonal Reactivity Index Prediction (IRI), which consists in predicting the IRI of the essay writer, knowing all his/her essays 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/11167
**Important Dates**
February 28th, 2023: Initial training data release
February 28th, 2023: Codalab competition website goes online, and development data released
April 15th, 2023: Evaluation phase begins: development labels test data released
April 18th, 2023: Deadline submission of final result on Codalab
April 24th, 2023: Deadline system description paper (max. 4p)
May 22nd, 2023: Notification of acceptance
June 6th, 2023: Camera-ready papers due
**Task Organizers**
Valentin Barriere - Centro Nacional de Inteligencia Artificial , Chile
Salvatore Giorgi - University of Pennsylvania, USA
Joao Sedoc - New York University, USA
Shabnam Tafreshi - ARLIS, Univeristy of Maryland, USA
**Contact**
wassa23empathy [at] gmail [dot] com
**Join Google Group**
wassa23empathy(a)googlegroups.com
Hello! It's been a relatively quiet time in NLP this week, hence why we're
happy to make this big announcement: registration for EACL 2023
<https://2023.eacl.org/> is now open!
acl.swoogo.com/EACL2023 <https://t.co/0RZkSFig3G>
For accommodations, a block of rooms has been reserved at a discounted
rate. Kindly reserve your room by April 18, 2023, while supplies last. More
information can be found here: 2023.eacl.org/venue <https://t.co/SHlKkKdeg0>
And that's not all! We've just released the general conference schedule
here:
2023.eacl.org/program/main/ <https://t.co/o4REIe3A8O>
where you can find the workshop schedule, tutorial schedule, and the list
of accepted main conference papers and findings papers.
I'm not finished. EACL 2023 is proud to announce three inspiring speakers
to anchor our already great program:
https://2023.eacl.org/program/invited/
* Edward Grefenstette (Cohere)
* Kevin Munger (Penn State University)
* Joyce Chai (University of Michigan)
How to see you in two months!
A stunning opportunity to study Artificial Intelligence in Rome! Several
open opportunities (11 positions).
Deadline: 31/03/2023 11:59 AM CEST
<https://dottorati.uniroma2.it/news.aspx?id_news=49> Call (in Italian)
Apply <https://gestione.dottorati.uniroma2.it/application/default.aspx>
here
Highlighted Positions for the Ph.D. in Data Science
<https://datasciencephd.uniroma2.it/> at University of Rome Tor Vergata:
[1] a position with Prof. Roberto Basili (more info from
basili(a)info.uniroma2.it <mailto:basili@info.uniroma2.it> ) Theme: "Entity
Recognition, reconciliation for touristic forecasting and cultural heritage
services based on neural language learning"
[2] a position with Prof. Armando Stellato (more info from
stellato(a)uniroma2.it <mailto:stellato@uniroma2.it> ) Theme: Knowledge
Engineering for Environment, Social and Governance (ESG)
[3] a position with Prof. Fabio Massimo Zanzotto (more info from
fabio.massimo.zanzotto(a)uniroma2.it
<mailto:fabio.massimo.zanzotto@uniroma2.it> ) Theme: Privacy in Pre-Trained
Language Models: Data leakage from pre[1]trained transformers
READ CAREFULLY
If you what to have full consideration for position [3], please, produce a
produce a 2-page report for this paper:
<https://arxiv.org/abs/2202.05798> The Dual Form of Neural Networks
Revisited: Connecting Test Time Predictions to Training Patterns via
Spotlights of Attention
and connect it with the paper:
<https://www.jair.org/index.php/jair/article/view/11345/26472> View of
Viewpoint: Human-in-the-loop Artificial Intelligence (jair.org)
Then, send the 2-page report to me (fabio.massimo.zanzotto(a)uniroma2.it
<mailto:fabio.massimo.zanzotto@uniroma2.it> ) with an e-mail
Subject: Rome Technopole Privacy in Pre-trained Transformers
The Chair of Data Science and Natural Language Processing (Prof. Siegfried
Handschuh) invites applications for a PhD position as part of the recently
granted Swiss National Science Foundation (SNF) research project
"Conversational AI: Dialogue-based Adaptive Argumentative Writing Support".
You will contribute to its successful implementation, as well as the
chair's varied activities in teaching and outreach.
Our research at the Data Science and NLP Chair at ICS-HSG focuses on the
cutting-edge field of Natural Language Processing (NLP) and Natural
Language Understanding (NLU). Our group delves into various aspects,
including conversational AI, Large Language Models (LLM), intricate
language analysis, Knowledge Graphs and more. Utilising sophisticated
methods and algorithms, we aim to extract deeper knowledge and
understanding from vast amounts of textual and auditory data. Our research
not only delves into the core principles of NLP but also explores its
practical applications across various industries.
Details of the post and how to apply: https://bit.ly/phd_conversational_ai
--
Prof. Dr. Siegfried Handschuh
Full Professor of Data Science and Natural Language Processing
Director, Institute of Computer Science
University of St.Gallen
E-mail: siegfried.handschuh(a)unisg.ch
*Job offer summary*
In the context of the BELSPO FED-tWIN
<https://www.belspo.be/belspo/research/FEDtWIN_en.stm> research program
(ARKEY funded proposal), the MiiL
<https://uclouvain.be/en/research-institutes/ilc/miil> (Media Innovation
and Intelligibility Lab from UCLouvain <https://uclouvain.be/en/index.html>,
Belgium) and the States Archives of Belgium
<https://www.arch.be/index.php?l=en> (SAB) are looking for a *post-doc
researcher in computer science or digital humanities*, with a significant
experience in the automatic processing of digital documents involving both
text and images. The proposed contract is an *open-ended FTE contract* (50%
UCLouvain, 50% SAB). The funding is guaranteed over a period of 10 years,
with the intention of securing the position.
The main objective of this ARKEY research profile will be to improve
the *digital
valorization of archive collections through long-term tools*. It involves
*(1)* the research and development of an enhanced access key to digitized
content (through text and layout recognition, and enriched digital archival
representation), and *(2)* the improvement of the navigation experience
within archive collections. It builds on the expertise of a *multidisciplinary
team* from SAB and from several research groups within UCLouvain (MiiL
<https://uclouvain.be/en/research-institutes/ilc/miil>, Cental
<https://uclouvain.be/fr/instituts-recherche/ilc/cental>, ARCH
<https://uclouvain.be/fr/decouvrir/archives>, and GEMCA
<https://uclouvain.be/fr/instituts-recherche/incal/gemca>). ARKEY aims to
bring added value for society and public service, by improving the
accessibility and intelligibility of archives: a priority for many
researchers and a foundation of democratic states.
The complete offer is available here
<https://uclouvain.be/en/research-institutes/ilc/miil/jobs.html>.
Application should be sent to Antonin Descampe (
antonin.descampe(a)uclouvain.be) and Eddy Put (eddy.put(a)arch.be) as soon as
possible and *no later than May 1st, 2023*.
*Résumé de l’offre*
Dans le cadre du programme de recherche BELSPO FED-tWIN
<https://www.belspo.be/belspo/research/FEDtWIN_fr.stm> (proposition
financée « ARKEY »), le MiiL
<https://uclouvain.be/fr/instituts-recherche/ilc/miil> (Media Innovation
and Intelligibility Lab de l'UCLouvain <https://uclouvain.be/fr/index.html>,
Belgique) et les Archives de l’Etat en Belgique
<https://www.arch.be/index.php?l=fr> (AGR) recherchent un *post-doctorant
en informatique ou en humanités numériques*, avec une expérience importante
dans le le traitement automatique de documents numériques impliquant à la
fois du texte et des images. Le contrat proposé est un *contrat à temps
plein à durée indéterminée* (50% UCLouvain, 50% AGR). Le financement est
garanti sur 10 ans, avec un intention de pérennisation du poste.
L'objectif principal de ce profil de recherche ARKEY sera d’*optimiser la
valorisation numérique des collections d'archives grâce à des outils
informatiques pérennes*. Il propose *(1) *la recherche et le développement
de moyens d'accès enrichis au contenu numérisé (grâce à la reconnaissance
de texte et de structure, ainsi qu’à une représentation enrichie des
archives), et *(2)* l'amélioration de l'expérience de navigation au sein
des collections d'archives. Il s'appuie sur l'expertise d'une *équipe
pluridisciplinaire* des AGR et de plusieurs groupes de recherche au sein de
l'UCLouvain (MiiL <https://uclouvain.be/fr/instituts-recherche/ilc/miil>,
Cental <https://uclouvain.be/fr/instituts-recherche/ilc/cental>, ARCH
<https://uclouvain.be/fr/decouvrir/archives> et GEMCA
<https://uclouvain.be/fr/instituts-recherche/incal/gemca>). ARKEY vise à
apporter une valeur ajoutée pour la société et le service public en
améliorant l'accessibilité et l'intelligibilité des archives : une priorité
pour de nombreux chercheurs et chercheuses, et un fondement des États
démocratiques.
L'offre complète est également disponible ici
<https://uclouvain.be/fr/instituts-recherche/ilc/miil/offres-d-emploi.html>.
Les candidatures doivent être envoyées à Antonin Descampe (
antonin.descampe(a)uclouvain.be) et Eddy Put (eddy.put(a)arch.be) dès que
possible et *au plus tard le* *1er mai 2023*.
*** With apologies for multiple postings ***
Tenure-track Assistant Professor or Associate Professor in computational cognitive modelling and natural language processing
The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for a tenure-track assistant/associate professorship in computational cognitive modelling and natural language processing to be filled by August 1, 2023 or as soon as possible thereafter.
Job content
The successful candidate will engage in cutting-edge research in computational cognitive modelling in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment, see also: Research - University of Copenhagen (ku.dk)<https://cst.ku.dk/english/research/>
The ideal candidate will have expertise in working with neurocognitive methods such as eye-tracking or EEG; they will have worked with computational modelling, preferably of language phenomena; they will have active knowledge of machine learning and deep modelling techniques.
The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding, in particular to support projects at the interface between computational cognitive modelling and NLP.
The candidate will also contribute with teaching to the MSc in IT and Cognition, more specifically to the Cognitive Science courses, as well as supervise master's dissertations. More detail on the programme as a whole and the individual study units are provided at: Master of Science (MSc) in IT and Cognition - University of Copenhagen (ku.dk)<https://studies.ku.dk/masters/it-and-cognition/>
The closing date for applications is 23:59 CET, 20 March 2023
Applications or supplementary material received thereafter will not be considered.
More information about the qualification requirements and the application procedure can be found on the following link:
https://jobportal.ku.dk/tenure-track/?show=158556
Costanza Navarretta
PhD, senior researcher/assoc.professor
Centre for Language Technology
Department of Nordic Studies and Linguistics
University of Copenhagen
DIR +45 35329079
costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>