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The Tensor Tournament T3 – Registration Open
by Jelena Mitrovic 02 Apr '24

02 Apr '24

Registration for the first Bavaria-wide Tensor Tournament is open. *The Tensor Tournament T**3* is a one-day AI student competition with free food, a live leaderboard, and all members of the three winning teams win programmable drones. Hype up your team and register today 👉 https://the-tensor-tournament.de ! 📅 *Date:* Saturday, May 4th, 2024 🕙 *Time:* 10:00 AM - 4:00 PM 📍 *Locations:* FAU, Uni Bamberg, Uni Regensburg, HS Ansbach, TH Nürnberg, Uni Passau, TUM, LMU *Highlights* 🔥 *3 Challenges*: Test your Machine Learning skills with three unique challenges of increasing difficulty designed to push your boundaries and spark your creativity. But beware, the clock is ticking! You have only 6 hours to complete the challenges. 👥 *3 Teammates*: Form a dream team of up to three students and tackle the challenges together. Each team will get a single PC and access to powerful GPU resources. Then, compete against the other teams for the top ranks on our Bavarian-wide leaderboard. 🏆 *3 Winners*: The top three teams will be rewarded with amazing prices: Programmable Ryze Tech Tello drones, some with the Booster Combo for extra endurance. *Conditions* 🍕 *Free food*: Enjoy free food and drinks throughout the event to keep your energy levels high and your ideas flowing. 🚀 *We welcome all STEM students*: Whether you're a seasoned ML pro or just starting your journey, all bachelor and master students interested in machine learning are welcome. Basic programming knowledge in Python is recommended, but the tournament is designed to be inclusive and engaging for everyone. Of course, you need to be enrolled in one of the participating universities. 👉 *First come, first serve*: GPUs are limited, so register now to secure your spot: https://the-tensor-tournament.de -- Prof. Dr. Jelena Mitrović Universität Passau / ITZ / Raum 161/Innstr. 43 94032 Passau +49 851 509 3353 https://ca-roll.github.io/ <http://www.uni-passau.de>

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CAiSE'24: Last Mile for Research Projects Exhibition
by Announce 02 Apr '24

02 Apr '24

*** Last Mile for Research Projects Exhibition *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 15th April, 2024 AoE (extended) ***) CAiSE 2024 features a Research Project Exhibition (RPE@CAiSE'24) where researchers and practitioners can present their ongoing research projects (e.g., Horizon or ERC projects, national grants) in the context of Information Systems Engineering. The main objective of this call is to serve as a forum where presenters can disseminate the intermediate results of their projects or get feedback about research project proposals being developed. The exhibition will also provide a warm environment to find potential research partners, foster existing relationships, and discuss research ideas. To participate in the RPE@CAiSE'24, the authors should submit a short paper (5-8 pages) showcasing the project, including the participants, the main objectives of the project and relevant results obtained so far (or expected results in the case of project proposals). Each submission will be peer-reviewed on the relevance of the submitted paper in the context of CAiSE 2024. If the paper is accepted, the authors will be invited to register for the conference to present their work at the Research Projects Exhibition session at CAiSE 2024. The accepted contributions will be proposed for publication by CEUR proceedings using the 1-column CEUR-ART style. In addition, the authors of the most influential project presented at the RPE@CAiSE'24 will receive an award distinguishing their contribution as the "Most Influential Project of the Research Project Exhibition @CAiSE'24". RESEARCH PROJECTS REQUIREMENTS For the Research Projects Exhibition, we solicit submissions of projects related to the topics of CAiSE that meet the following criteria: • Projects funded by the European Union, by national or local funding organisations, or even by individual universities and industries. • Projects focused on fundamental research, applied research or more industry-oriented. • Research projects carried out by an international consortium of partners or by a national research team. • Research statements for future projects concerning the Information Systems Engineering community. SUBMISSION GUIDELINES Papers should be submitted via Easychair (https://www.easychair.org/conferences/?conf=caise2024) by selecting the "Research Projects Exhibition". Each submission of a research project should include: • The project's full name, acronym, duration (from-to), participants, funding agency and URL. • Names of presenter(s) and main contributors. • Abstract and keywords. • Summary of project objectives and expected tangible outputs. • The relevance of the project (or one of its work packages) to the topics of the International Conference on Advanced Information Systems Engineering. • If the project is ongoing: summary of current status and intermediate results. All submissions should be 5 to 8 pages long and be formatted as a 1-column CEUR-ART style (templates available at https://ceur-ws.org/Vol-XXX/). An intention to submit should be performed one week before the deadline, including the full name of the project, the authors' name and the abstract. Each submission will be reviewed by at least two members of the Program Committee. In case of disagreement, a third member of the Program Committee will review the submission. The Program Committee will comprise international researchers with expertise in the field. ATTENDANCE AND PRESENTATION During the Research Projects Exhibition session, the authors of accepted contributions will present the research project. Details about the format of the session and instructions to prepare the presentation will be given to authors after the acceptance notification. At least one author of each submission accepted for the Research Projects Exhibition must register and attend the conference to present the work. The author needs a full registration to present the research project. IMPORTANT DATES • Intention to Submit (Abstract Submission): 8th April, 2024 (AoE) (extended) • Submission: 15th April, 2024 (AoE) (extended) • Notification of Acceptance: 29th April, 2024 • Camera Ready: 13th May, 2024 • Author Registration: 13th May, 2024 • Conference Dates: 3rd-7th June, 2024 RESEARCH PROJECTS EXHIBITION CHAIRS • Raimundas Matulevicius, University of Tartu, Estonia • Henderik A. Proper, TU Wien, Austria

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Call for Papers: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference
by mathilde.regnault＠ling.uni-stuttgart.de 02 Apr '24

02 Apr '24

Apologies for cross-posting. Call for Papers: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference (https://llcd2024.sciencesconf.org/) Workshop Variation plays a particularly important role in linguistic change, since every change stem from a state of variation; but each state of variation does not necessarily end up with a change: the new variant can disappear, or variation can linger but in different contexts. Access to sufficient amounts of data and their quantification, in order to detect the emergence of new variants as precisely as possible, and the recession or even disappearance of others, is a precious tool for the study of variations, whatever their dimensions (diachronic, diatopic, …) and in whatever field (syntax, morphology, …). The appearance of large corpora has thus renewed the study of variation. NLP has contributed largely to this renewal, providing tools for the enrichment and the exploration of these corpora. In return, linguistic analysis can help explain some of these errors and thus deepen the picture where performance metrics tend to flatten out everything under a single number, or even help improve the performances. NLP annotation tools, such as syntactic parsers and morphological taggers, reach great performances nowadays when they are applied on similar data to those seen during their development. However, they quickly drop as the target data diverges from those of the training scenario. This raises a number of issues when it comes to using automatically annotated data to perform linguistic studies. This workshop aims at exploring bilateral contributions between Natural Language Processing and variation analysis in the fields of morphosyntax and syntax, from diachronic and diatopic perspectives but also from genre, domain or form of writing, without any restriction on the languages of interest. We warmly welcome submissions dealing with the issues and contributions of applying NLP to variation analysis : • Quantification of variation along its different dimensions (both external and internal ones as well as in interaction with each other); • Impact of annotation errors on the study of marginal structures (emergent or recessing); • Syntactic variation when it is induced by semantic changes. But also submissions dealing with the contributions of variation analysis to NLP: • Variation mitigation (spelling standardisation...); • Domain adaptation (domain referring here to any variation dimension); • Error analysis (in and out of domain) in light of known variation phenomena, amongst which (de-)grammaticalisation; • The evolution of grammatical categories and its impact on prediction models; • The place of variation studies in NLP in the large language model era. These themes are only suggestions and the workshop will gladly host any submission that deals substantially with the reciprocal contributions between NLP and variation analysis in the mentioned fields. Full workshop description: https://llcd2024.sciencesconf.org/data/pages/WS12Eng.pdf Important Dates • Apr 20, 2024: deadline for abstract submission (Workshops and General session) • May 15, 2024: Notification • Sep 9-11: Conference Submissions Abstracts must clearly state the research questions, approach, method, data and (expected) results. They must be anonymous: not only must they not contain the presenters' names, affiliations or addresses, but they must avoid any other information that might reveal their author(s). They should not exceed 500 words (including examples, but excluding bibliographical references). Abstracts will be assessed by two members of the Scientific Committee and (one of) the workshop organizers.

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[CIIAM] Postdoc on Contextual Information Inference for Argument Mining
by Anaïs Ollagnier 02 Apr '24

02 Apr '24

** *Bonjour,* * (english announcement follows) Dans le cadre du projet CIIAM (Contextual Information Inference for Argument Mining) financé par l’Académie d’Excellence Réseaux, Information et Société Numérique, visant à renforcer la robustesse des techniques de fouille d'arguments par la synthétisation d’informations contextuelles relevant des aspects multimodaux de la communication. Nous invitons les doctorant(e)s en fin de thèse et les jeunes docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la fouille d’argument par la synthétisation d’information contextuelle" (12 mois). -------- Contexte -------- Parvenir à appréhender les structures argumentatives dans les entrées en langage naturel constitue une étape clé pour de nombreuses tâches relevant du domaine du Traitement Automatique des Langues (TAL), telles que le résumé automatique ou l'analyse de débats politiques. Bien que des progrès significatifs aient été réalisés grâce à l'avènement des modèles de langue pré-entraînés, ils ne saisissent pas toujours l'ensemble des connaissances linguistiques nécessaires pour une compréhension contextuelle fine et l'établissement d'inférences pertinentes. Face à ces limitations, notre projet vise à explorer l'inclusion de la dimension d'analyse linguistique liée à la pragmatique. Cette approche se veut particulièrement novatrice, car la pragmatique, en raison de sa complexité à être formalisée, est très peu étudiée d'un point de vue computationnel. C’est à travers l'utilisation des dernières techniques de pointe en matière de "prompting" que nous souhaitons pallier les écueils des méthodes existantes, tels que la variabilité culturelle et l’implicite. --------------- Pour candidater --------------- Sujet détaillé : https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Début du contrat : Octobre 2024, au plus tard Durée du contrat : 12 mois Les candidatures comprenant un CV scientifique, une lettre de motivation et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Date limite : 14 Juin 2024 Laboratoire d'accueil : I3S, Sophia-Antipolis, France Au plaisir de vous lire. ------------------------------------------------------------------------------------------------ In the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication. We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months). -------- Context -------- Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge. --------------- To Apply --------------- Detailed subject: https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Contract start: October 2024, at the latest Contract duration: 12 months Applications including a scientific CV, a motivation letter, and recommendation letters should be sent to Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Deadline: June 14, 2024 Hosting laboratory: I3S, Sophia-Antipolis, France * -- Anaïs OLLAGNIER Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 414, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

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Registration Now Open for NLDB 2024 - Join Us in Turin!
by Federico Torrielli 02 Apr '24

02 Apr '24

Dear Colleagues and Researchers, We are delighted to announce that registration for the 29th International Conference on Natural Language & Information Systems (NLDB 2024) is now officially open! The conference will be held from 25-27 June 2024 at the University of Turin, Italy. *Register for NLDB 2024*: Click Here to Register <https://nldb2024.di.unito.it/registration/> NLDB 2024 brings together a vibrant community of researchers and industry practitioners focusing on advances in Natural Language Processing (NLP) and its applications in information systems. As the field of NLP continues to evolve rapidly, this conference offers a prime opportunity to stay ahead of the curve, presenting your work, sharing insights, and forging new connections. *Conference Highlights:* * Engage with cutting-edge research and industrial applications of NLP. * Network and connect with leading academics and industry experts. * Experience a mix of oral and poster presentations, and interactive sessions. * Enjoy the beautiful city of Turin and its rich cultural heritage. *Registration Policy Summary:* * *Paper Presentation*: All accepted papers must be presented, ideally in person. * *Attendance*: In-person attendance is recommended, but remote options are available. * *Author Registration*: At least one author per paper must register at the in-person rate by the specified deadline to ensure inclusion in the proceedings. * *Fees*: Early registration offers reduced fees, and special rates are available for students to encourage young researchers' participation. For detailed information on fees, the registration process, and more, please visit the NLDB 2024 Registration Page <https://nldb2024.di.unito.it/registration/>. Should you have any questions or need further assistance, please do not hesitate to contact us at federico.torrielli(a)unito.it. We look forward to welcoming you to Turin for an exciting and enriching conference experience. Warm regards, The NLDB 2024 Organizing Committee *General Chairs*: * Luigi Di Caro, University of Turin * Farid Meziane, University of Derby * Amon Rapp, University of Turin * Vijayan Sugumaran, Oakland University

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Call for Papers: Special Issue of Register Studies
by mg2957＠nau.edu 02 Apr '24

02 Apr '24

Title of Special Issue: Situational Context in Register Studies Call for papers Situation of language use has been at the forefront of register studies. Register research in text-linguistics has documented systematic situational variation and its relationship to functional language use across culturally recognized register categories, among texts within register categories, and across hybrid registers (e.g., Biber, 1988; Biber & Egbert, 2018; Biber, Egbert, Keller, 2020). Situations of language use have also been explored by a variety of other research traditions (and referred to as ‘register,’ ‘communicative situation,’ ‘speech situation,’ ‘social situation, ’or ‘situational context’). For example, the contribution of the situation of language use to explaining linguistic variation is examined alongside linguistic variables in variationist linguistics (e.g., Szmrecsanyi , 2019). In computational research, it has served as the basis for text classification (e.g., Argamon, 2019). The effect of situations of use on individual language use is being recognized in stylistics and stylometry (e.g., Marko, Reitbauer & Pickl, 2022). Additionally, some situational variables, such as the audience and their relative status to the addressor, have been central to sociolinguistic research (e.g., Rickford & McNair-Knox, 1994) and discourse analysis (e.g., Lorson et al., 2023). To synthesize the variety of perspectives, approaches, and conceptualizations, Register Studies invites proposals that elevate the role of situational context in linguistic research. We welcome a wide range of empirical, methodological, or theoretical papers under this scope. Papers for this special issue should highlight situational context and its integration into register studies. Potential topics include, but are not limited to: Applications of situational analysis to corpus design and evaluation Analysis of situational variation across and within registers Detailed analyses of communicative events and their communicative strategies (e.g., conflict, celebration, social gathering, etc.) Descriptions of frameworks for situational analysis Approaches to coding for situational characteristics Generality and specificity of situational parameters Situation in applied research (e.g., pedagogy, medical discourse, legal discourse, etc.) The psycholinguistic reality of situational distinctions Interaction of the situation of language use with other predictor variables (e.g., social status, gender) New, unaccounted for (configurations of) situational parameters and/or novel/nonstandard situations of language use Cross-cultural situational differences and/or situations unique to particular linguistic communities Situation of language use and discourse-pragmatic variation Situation of technology-mediated interactions Important Dates Deadline for proposals: April 15, 2024 Invitations to submit a manuscript: May 1, 2024 Initial manuscripts due: October 1, 2024 Notification of review outcome: December 1, 2024 Final manuscripts due: February 28, 2025 Special issue publication: 7:2 - Fall 2025 Proposal Format & Submission Submit a one-page abstract for your proposed article to Associate Editors Larissa Goulart and Marianna Gracheva at Register.Studies(a)gmail.com. Please include your full contact information and a draft title. For empirical studies, the abstract should introduce the topic and motivate the study, summarize the methodological approach, describe the data to be analyzed, and summarize preliminary results. Abstracts for theoretical and methodological articles should introduce and motivate the issue to be addressed, and explain the main premises that will be included in the article. Please follow the style guide for Register Studies (available at the journal website: https://benjamins.com/catalog/rs). Peer Review All manuscripts will undergo double-blind peer review following the journal’s standard process. References: Biber, D. 1988. Variation across speech and writing. Cambridge University Press. Biber, D., & Egbert, J. (2018). Register variation online. Cambridge University Press. Biber, D., Egbert, J., & Keller, D. (2020). Reconceptualizing register in a continuous situational space. Corpus Linguistics and Linguistic Theory, 16(3), 581–616. Argamon, S. (2019). Computational register analysis and synthesis. Computation and Language. https://doi.org/10.48550/arXiv.1901.02543 Lorson, A., Rhode, H., & Cummins, C. (2023). Epistemicity and communicative strategies. Discourse Processes, 60(8), 556–593. Marko, K., Reitbauer, M., & Pickl, G. (2022). Same person, different platform. Challenges and implications for forensic authorship analysis. An exploratory study of Instagram and Twitter users. Register Studies, 4(2), 202–231. Rickford, J. R. & McNair-Knox, F. (1994). Addressee- and topic-influenced style shift: a quantitative sociolinguistic study. In D. Biber & E. Finegan (Eds.), Sociolinguistic perspectives on register (pp. 235–276). Oxford University Press. Szmrecsanyi, B. (2019). Register in variationist linguistics. Register Studies, 1(1), 76–99.

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Promoting 2024 TREC NeuCLIR Track -- #CLIR, #RAG, #Summarization
by Paul McNamee 02 Apr '24

02 Apr '24

A multingual retrieval shared task is running again this year at TREC 2024. The NeuCLIR (i.e., neural CLIR) track contains news document collections in Chinese, Farsi, and Russian, and support subtasks in: * cross-lingual search: search document collections from various languages * multlingual search: produce a unified ranked list of relevant documents across the three collections * report generation: produce an multi-paragraph English-language summary based on relevant information found in the source documents * technical document CLIR: searching in a collection of Chinese technical abstracts Information about the track, including task guidelines is available: https://neuclir.github.io/2024 To participate in the track advance registration for TREC 2024 is required: https://trec.nist.gov/pubs/call2024.html Best, - Paul McNamee

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Registrations open for The Alan Turing Institute AI UK Fringe Event Public Lectures on April 16, 2024
by Mohammed Hasanuzzaman 01 Apr '24

01 Apr '24

Dear Colleagues, Exciting news! Join us for "*AI and Future*" at Queen’s University Belfast, UK, on April 16, 2024, at 1:00 PM BST. It's The Alan Turing Institute AI UK Fringe Event Public Lectures – don't miss out! Event Details: - Date: *April 16, 2024*, starting at 1:00 PM BST - Format: Hybrid (Link will be shared after the registration deadline) - Participation Fees: Free Talks Include: 1. "Reflections on Consciousness in AI" by *Dr. Patrick Butlin, University of Oxford, UK* 2. "Scalable Multimodal Learning and Multimedia Recommendation" by *Prof. Jialie Shen, City, University of London, UK* 3. "Generalization Error of Neural Networks and Its Applications" by *Prof. Wing W. Y. Ng, South China University of Technology, China* Registration Details: Please register your interest through our application, accessible via the following link: Application Link <https://forms.office.com/e/6U2h0chaFS>. The deadline for registration is *April 10, 2024*. We look forward to your participation in this insightful event. Should you have any questions or require further information, please feel free to reach out to me at m.hasanuzzaman(a)qub.ac.uk Best regards, Mohammed ------------------------------------------------------------------------------------------------------ *Dr. Mohammed HasanuzzamanLecturer/Assistant Professor**Queen's University Belfast <https://www.qub.ac.uk/>, UK * *&Munster Technological University <https://www.mtu.ie/>, Ireland* *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:* * IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language**Website: **https://mohammedhasanuzzaman.github.io/ <https://mohammedhasanuzzaman.github.io/>* [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 25/03/24, 22:39:35

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PhD position - Deadline April 15th - CASCADE EU Horizon MSCA - Diachronic development of text types in the English Language
by Stefania Degaetano-Ortlieb 30 Mar '24

30 Mar '24

New deadline April 15th! Exciting EU Horizon Doctoral Network Opportunity! Network: HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Network on Computational Analysis of Semantic Change Across Different Environments (CASCADE) Job Title: PhD Candidate in Computational Linguistics/Digital Humanities/Computational humanities/Corpus Linguistics Project Title: Diachronic development of text types in the English Language Please share with interested students! Important: see eligibility requirements below!! Full official advert available here: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaft ler/W2440.pdf Workplace Computational Analysis of Semantic Change Across Different Environments (CASCADE) is a HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks scheme which will bring together researchers from a variety of backgrounds, including literary studies, historical text analysis, semantics, corpus linguistics, machine learning and natural language processing. The project will emphasise the importance of computational linguistics and humanities scholarship as skills that bring value and competitive edge to organisations concerned with semantically aware information retrieval and text analytics. CASCADE is a partnership between University College Cork, the University of Sheffield, KU Leuven, the University of Helsinki, and Saarland University. Location This position is to be filled at Saarland University, seeking applications for a PhD project entitled Diachronic development of text types in the English Language, which will be one of ten funded projects to emerge out of CASCADE's doctoral network. The successful candidate will be appointed as Marie Curie Early Career Researchers at Saarland University, enrolled in a fully-funded three-year PhD programme. The successful candidate will be supervised by PD Dr. Stefania Degaetano-Ortlieb. The position will be located within the Department of Language Science and Technology. The successful applicant will have the opportunity to collaborate with researchers affiliated with the DFG-funded Collaborative Research Center (CRC) 1102 on Information Density and Linguistic Encoding at Saarland University. CRC 1102 is a thriving research environment with over 30 PhD students and postdocs from many subfields of Linguistics, Computational Linguistics and Psycholinguistics. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of Computational Linguistics, Psycholinguistics, Speech Processing, and Corpus Linguistics. It is part of Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus. Project description The project Diachronic development of text types in the English Language will use computational approaches to model temporal dynamics of textual data (corpus-based and novel probabilistic measures) for the analysis of the development of text types in English. From the 15th century onward, increased use of the vernacular and perceived syntactic and lexical gaps (compared with Latin) prompted linguistic innovation in English, concurrent with the progressive conventionalization of text types. Existing variation was made functional and new distinctions were either borrowed or invented (e.g. transfer of features from medicine to cooking recipes). Applying corpus-based and novel probabilistic measures to investigate diachronic change and with support from Text+ and IDeaL, the PhD candidate will be able to: 1) determine the linguistic features of different text types; 2) determine how these features change over time; 3) assess the overlap of different text types and the possible mutual influence of text types; 4) develop a computational workflow to support the above objectives which is made publicly available (e.g. on github). Eligibility: This is important! The vacancy is open to applicants of all nationalities who comply with the mobility requirement and the degree requirement: * applicants must not have resided in the country of the CASCADE university that will host them (university of the main supervisor, Germany in this case) for more than 12 months in the 36 months preceding appointment * applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution. More information about the Network CASCADE is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply. CASCADE is advertising positions for 10 candidates within its network, who will be housed across the five participating universities. While applications are welcome to apply for more than one project, applications for each position must be submitted separately. In the event an applicant does apply for more than one position and has a particular preference, this should be indicated by email to PD Dr. Stefania Degaetano-Ortlieb. Applicants are encouraged to only apply for projects for which they are ideally qualified and suitable. The recruitment process will be done centrally by the CASCADE selection committee. Job requirements and responsibilities * Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference) * Collaboration with a multidisciplinary research group focused on the intersection of Computational Linguistics, Linguistics, and Digital Humanities. * Creation of a typology of diachronic text types. * Large-scale analysis of the evolution of meaning across text types. * Development of a computationally supported methodology for diachronic text typology. * Participation in joint publications and engagement in academic service. * The successful candidate will be expected to participate in a series of international conferences and workshops, as well as undertake secondments in Germany and abroad. Your academic qualifications * Completed university studies in English Linguistics with strong historical and/or corpus-based background, Digital Humanities, Corpus Linguistics, Computational Linguistics, or related fields, held by time of appointment (MA-degree) * Language skills (according to GER): English B2 The successful candidate will also be expected to: * Demonstrated experience in applying text-/corpus-based or comparative approaches to the analysis of language variation (e.g., diachronic, sociolinguistic, multilingual variation) (desirable); * Capability to bridge the gap between data science and the humanities (essential); * Enthusiasm for inter- and multidisciplinary research and ability to work independently and collaboratively (essential); * Strong research, analytical, and organizational skills (essential); * Excellent written and verbal communication skills (essential); * A good command of English is mandatory; * Language skills (according to GER): English B2 What we can offer you: * A flexible work schedule allowing you to balance work and family * Interdisciplinary supervision and structured PhD training * An occupational health management model with numerous attractive options, such as our university sports program * A broad range or further education and professional development programmes (e.g. language courses) Applicants are requested to enclose the following documents in English with their application: 1. A curriculum vitae, including any publications (max. 10 pages); 2. A cover statement outlining the applicant's ambitions for Diachronic development of text types in the English Language and the wider CASCADE network (max. 2 pages); 3. A single-authored writing sample from your previous studies (any length). We look forward to receiving your meaningful online application (in a PDF file) by 15.04.2024 (extension is planned) to s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> . Please include the reference number W2440 in the subject line of the e-mail. If you have any questions, please contact us for assistance. Your contact: PD Dr. Stefania Degaetano-Ortlieb Assistant Professor (Akademische Rätin) Department of Language Science and Technology Saarland University Campus A2.2 66123 Saarbrücken s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> www.stefaniadegaetano.com <http://www.stefaniadegaetano.com/>

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PhD position - Deadline April 15th - CASCADE EU Horizon MSCA - Modeling context for the analysis of language variation and change
by Stefania Degaetano-Ortlieb 30 Mar '24

30 Mar '24

New deadline April 15th! Exciting EU Horizon Doctoral Network Opportunity! Network: HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Network on Computational Analysis of Semantic Change Across Different Environments (CASCADE) Job Title: PhD Candidate in Computational Linguistics/Digital Humanities/Computational Humanities/Data Science (AI/NLP) Project Title: Modeling context for the analysis of language variation and change Please share with interested students! Important: see eligibility requirements below!! Full official advert available here: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaft ler/W2439.pdf Workplace Computational Analysis of Semantic Change Across Different Environments (CASCADE) is a HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks scheme which will bring together researchers from a variety of backgrounds, including literary studies, historical text analysis, semantics, corpus linguistics, machine learning and natural language processing. The project will emphasise the importance of computational linguistics and humanities scholarship as skills that bring value and competitive edge to organisations concerned with semantically aware information retrieval and text analytics. CASCADE is a partnership between University College Cork, the University of Sheffield, KU Leuven, the University of Helsinki, and Saarland University. Location This position is to be filled at Saarland University, seeking applications for a PhD project entitled Diachronic development of text types in the English Language, which will be one of ten funded projects to emerge out of CASCADE's doctoral network. The successful candidate will be appointed as Marie Curie Early Career Researchers at Saarland University, enrolled in a fully-funded three-year PhD programme. The successful candidate will be supervised by PD Dr. Stefania Degaetano-Ortlieb. The position will be located within the Department of Language Science and Technology. The successful applicant will have the opportunity to collaborate with researchers affiliated with the DFG-funded Collaborative Research Center (CRC) 1102 on Information Density and Linguistic Encoding at Saarland University. CRC 1102 is a thriving research environment with over 30 PhD students and postdocs from many subfields of Linguistics, Computational Linguistics and Psycholinguistics. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of Computational Linguistics, Psycholinguistics, Speech Processing, and Corpus Linguistics. It is part of Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus. Project description The project Modeling context for the analysis of language variation and change will use computational approaches to mode linguistic and extra-linguistic context for the analysis of language variation and change. Context has a major impact on how we process language. However, the notion of context is very broad ranging from broadly conceived pragmatic conditions, i.e. the extra-linguistic context (e.g. socio-cultural factors, genres, time), to the relationship among linguistic elements that can substitute for each other in a given context, i.e. the paradigmatic context, up to the local linguistic context of linguistic elements, i.e. the syntagmatic context. While studies on language variation and change do encompass the notion of context, the coverage of contextual factors is often relatively limited. This project will apply and further develop computational modeling techniques to integrate contextual factors among the types of context described above to arrive at more comprehensive accounts of effects of contextual factors on language variation and change. Eligibility: This is important! The vacancy is open to applicants of all nationalities who comply with the mobility requirement and the degree requirement: * applicants must not have resided in the country of the CASCADE university that will host them (university of the main supervisor, Germany in this case) for more than 12 months in the 36 months preceding appointment * applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution. More information about the Network CASCADE is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply. CASCADE is advertising positions for 10 candidates within its network, who will be housed across the five participating universities. While applications are welcome to apply for more than one project, applications for each position must be submitted separately. In the event an applicant does apply for more than one position and has a particular preference, this should be indicated by email to PD Dr. Stefania Degaetano-Ortlieb. Applicants are encouraged to only apply for projects for which they are ideally qualified and suitable. The recruitment process will be done centrally by the CASCADE selection committee. Job requirements and responsibilities * Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference) * Collaboration with a multidisciplinary research group focused on the intersection of Computational Linguistics, Linguistics, and Digital Humanities. * Creation of a computational approach to model contextual factors. * Large-scale analysis of effects of contextual factors on modeling language variation and change. * Participation in joint publications and engagement in academic service. * The successful candidate will be expected to participate in a series of international conferences and workshops, as well as undertake secondments in Germany and abroad. Your academic qualifications * Completed university studies in Digital Humanities, Computational Linguistics, Data Science, AI/NLP, Information Science, or related fields, held by time of appointment * Language skills (according to GER): English - B2 The successful candidate will also be expected to: * Demonstrated experience in applying computational methods to textual data (essential); * Familiarity with eighteenth-century English data sources (desirable) * Capability to bridge the gap between data science and the humanities (essential); * Enthusiasm for inter- and multidisciplinary research and ability to work independently and collaboratively * (essential); * Strong research, analytical, and organizational skills (essential); * Excellent written and verbal communication skills (essential); * A good command of English is mandatory; * Language skills (according to GER): English B2 What we can offer you: * A flexible work schedule allowing you to balance work and family * Interdisciplinary supervision and structured PhD training * An occupational health management model with numerous attractive options, such as our university sports program * A broad range or further education and professional development programmes (e.g. language courses) Applicants are requested to enclose the following documents in English with their application: 1. A curriculum vitae, including any publications (max. 10 pages); 2. A cover statement outlining the applicant's ambitions for Diachronic development of text types in the English Language and the wider CASCADE network (max. 2 pages); 3. A single-authored writing sample from your previous studies (any length). We look forward to receiving your meaningful online application (in a PDF file) by 15.4.2024 (extension is planned) to s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> . Please include the reference number W2440 in the subject line of the e-mail. If you have any questions, please contact us for assistance. Your contact: PD Dr. Stefania Degaetano-Ortlieb Assistant Professor (Akademische Rätin) Department of Language Science and Technology Saarland University Campus A2.2 66123 Saarbrücken s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> www.stefaniadegaetano.com <http://www.stefaniadegaetano.com/>

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