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PhD position on Fair and Accountable Natural Language Processing at the University of Copenhagen
by Isabelle Augenstein 03 May '23

03 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads. Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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[FinNLP@IJCAI-2023] Deadline Extended - Call for Paper and ESG Shared Task Participants
by CHUNG-CHI CHEN 03 May '23

03 May '23

Dear colleagues, This year, FinNLP-2023 will be in conjunction with IJCAI-2023 on 20th August 2023, Macao. This year, we organize a Joint Workshop of The 5th Financial Technology And Natural Language Processing (*FinNLP*) and 2nd *Multimodal AI For Financial Forecasting* (Muffin). Thus, papers related to NLP or multimodal AI in finance are welcome. This year, we have a shared task related to *multilingual ESG issue identification*. Registration is open now, and the datasets are released. Now, we have over 20 teams registered. Welcome to join us! Please refer to our website for more details - FinNLP-2023: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2023/home *Submission Deadline (Extended): May 11, 2023* Accepted papers proceedings will be published at ACL Anthology. ( https://aclanthology.org/venues/finnlp/) Best Regards, FinNLP and Muffin Organizers *Topics*This workshop will hold a research track and two shared tasks. The research track aims to explore recent advances and challenges of NLP & multimodal AI for finance. Researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, optimization, and other fields are invited to submit papers on recent advances, resources, tools, and challenges on the broad theme of Multimodal AI for finance. The topics of the workshop include but are not limited to the following: - Transformer models / Self-supervised / Transfer Learning on Financial Data - Machine Learning for Finance - Natural Language Processing and Speech Applications for Finance - Conversational dialogue modeling for Financial Conference Calls - Social media and User NLP for Finance - Entity extraction and linking, Named-entity recognition, information extraction, relationship extraction, ontology learning in financial documents - Financial Document Processing - Multi-modal financial knowledge discovery - Financial Event detection from Multimedia - Visual-linguistic learning for financial video analysis - Video understanding (human behavior cognition, topic mining, facial expression detection, emotion detection, deception detection, gait and posture analysis, etc.) - Data annotation, acquisition, augmentation, feature engineering, for financial/time-series analysis - Bias analysis and mitigation in financial models and data - Statistical Modeling for Time Series Forecasting - Interpretability and explainability for financial AI models - Privacy-preserving AI for finance *Submission* Authors are invited to submit their unpublished work that represents novel research. The papers should be written in English using the IJCAI-23 author kit and follow the IJCAI 2023 formatting guidelines. Authors can also submit the supplementary materials, including technical appendices, source codes, datasets, and multimedia appendices. All submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to IJCAI 2023 call for papers page. - Short Paper: Up to 4 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments. - Long Paper: Up to 8 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments.

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Call for Participation: CLEF 2023 LongEval (EXTENDED DEADLINE)
by Harish Tayyar Madabushi 03 May '23

03 May '23

We invite you to take part in *CLEF 2023 LongEval: Longitudinal Evaluation of Model Performance shared task.* *Updated Timelines:* -------------------------------- Deadline for registration: 21st May 2023 Test Data release: 4th May 2023 Submissions Due: 22nd May 2023 *You can now directly register on the Codalab website: * https://codalab.lisn.upsaclay.fr/competitions/12762 *Join the Slack channel*: https://join.slack.com/t/longeval/shared_invite/zt-1tmql633q-w20e3oNq157bkh… The CLEF 2023 LongEval lab is motivated by recent research showing that the performance of information retrieval and text classification models drops as the test data becomes more distant in time from the training data. *LongEval-Classification:* The goal of Task 2 is to propose a temporal persistence classifier which can mitigate performance drop over short and long periods of time compared to a test set from the same time frame as training. Organisers ------------------------------------------------------------ Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.

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Call for paper and special issue proposals: JrnlRDSLCS
by Stefan Th. Gries 02 May '23

02 May '23

Dear all The *Journal of Research Design and Statistics in Linguistics and Communication Science* is hereby soliciting submissions of papers as well as proposals for guest-edited special issues and is encouraging all corpus linguists working with quantitative methods to check out our call published on the journal website at <https://journal.equinoxpub.com/JRDS/announcement/view/312>. There, you will also find more info on the range of topics/fields we're particularly interested in as well as contact information for the editors. Cheers, STG UC Santa Barbara & JLU Giessen

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Fully funded PhD positions in recommendation and search
by Maarten de Rijke 02 May '23

02 May '23

Fully funded PhD positions in recommendation and search Come and join us to work as a PhD student! At the IRLab of the University Amsterdam we have two fully funded, four-year PhD positions on the following topics: * Full page personalization in recommender systems; this is a position in the TAIM Lab, a collaborative research lab with RTL, Maastricht University, and the University of Amsterdam * Truthful generative methods for news content; this is a position in the REM Lab, a collaborative research lab with DPG Media, the Jheronymus Academy of Data Science, and the University of Amsterdam. The TAIM and REM Lab are part of the national Innovation Center for AI (ICAI). To find out more about these positions and to apply, please check out https://staff.fnwi.uva.nl/m.derijke/two-phd-positions/ -- Maarten de Rijke Distinguished University Professor AI & IR University of Amsterdam http://staff.fnwi.uva.nl/m.derijke

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Third Workshop on Human Evaluation of NLP Systems (HumEval’23)
by Maja Popovic 02 May '23

02 May '23

Third Workshop on Human Evaluation of NLP Systems (HumEval’23) ############################################################### https://humeval.github.io/ RANLP’23, Varna, Bulgaria, 7 or 8 September 2023 First Call for Papers ++++++++++++++++++++++ The Third Workshop on Human Evaluation of NLP Systems (HumEval’23) invites the submission of long and short papers on substantial, original, and unpublished research on all aspects of human evaluation of NLP systems with a focus on NLP systems which produce language as output. We welcome work on any quality criteria relevant to NLP, on both intrinsic evaluation (which assesses systems and outputs directly) and extrinsic evaluation (which assesses systems and outputs indirectly in terms of its impact on an external task or system), on quantitative as well as qualitative methods, score-based (discrete or continuous scores) as well as annotation-based (marking, highlighting). Important dates ---------------- Workshop paper submission deadline: 10 July 2023 Workshop paper acceptance notification: 5 August 2023 Workshop paper camera-ready versions: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 All deadlines are 23:59 UTC-12. Topics ------- We invite papers on topics including, but not limited to, the following: Experimental design and methods for human evaluations Reproducibility of human evaluations Work on inter-evaluator and intra-evaluator agreement Ethical considerations in human evaluation of computational systems Quality assurance for human evaluation Crowdsourcing for human evaluation Issues in meta-evaluation of automatic metrics by correlation with human evaluations Alternative forms of meta-evaluation and validation of human evaluations Comparability of different human evaluations Methods for assessing the quality and the reliability of human evaluations Role of human evaluation in the context of Responsible and Accountable AI We welcome work from any subfield of NLP (and ML/AI more generally), with a particular focus on evaluation of systems that produce language as output. ReproNLP shared task --------------------- The workshop will also host a shared Task on Reproducibility of Evaluations in NLP (ReproNLP) -- more details coming soon. Papers ------ Long papers - - - - - - Long papers must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of 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. Long papers will be presented orally or as posters as determined by the programme committee. Decisions as to which papers will be presented orally and which as posters will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. Short papers - - - - - - - Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Examples of short papers are a focused contribution, a negative result, an opinion piece, an interesting application nugget, a small set of interesting results. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers’ comments can be taken into account. Short papers will be presented orally or as posters as determined by the programme committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. Multiple submission policyPermalink HumEval’23 allows multiple submissions. However, if a submission has already been, or is planned to be, submitted to another event, this must be clearly stated in the submission form. Submission procedure and templates ----------------------------------- To submit, go directly to the workshop page at the Softconf START system https://softconf.com/ranlp23/HumEval/ The papers should follow the format of the main conference, described at the RANLP website, Submissions page. http://ranlp.org/ranlp2023/index.php/submissions/ Organisers Anya Belz, ADAPT Centre, Dublin City University, Ireland Maja Popović, ADAPT Centre, Dublin City University, Ireland Ehud Reiter, University of Aberdeen, UK João Sedoc, New-York University Craig Thomson, University of Aberdeen, UK For questions and comments regarding the workshop please contact the organisers at humeval.ws(a)gmail.com.

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10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Fifth Call for Submissions
by georgeangelos60＠gmail.com 02 May '23

02 May '23

*** Fifth Call for Submissions *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry’s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: • Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities • Blockchains for Service-Oriented and Cloud Computing • Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing • Business processes, e.g., service-based workflow deployment and management • Cloud interoperability, service and Cloud standards, • Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT • Cloud-native architectures and paradigms, e.g., microservices and DevOps • Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. • Deployment, composition, and management of applications in Service-Oriented and Cloud Computing • Foundations and formal methods for Service-Oriented and Cloud Computing • Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics • Model-Driven Engineering for Service-Oriented and Cloud Computing • Multi-Cloud, cross-Cloud, and federated Cloud solutions • Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing • Semantic services and service mining • Service and Cloud middlewares and platforms • Software/service adaptation and evolution in Service-Oriented and Cloud Computing • Storage, computation and network Clouds • Sustainability and energy issues in Service-Oriented and Cloud Computing • Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing • Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing • Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds • Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES • Submission of abstracts: June 4th, 2023 (AoE) • Submission of full papers: June 11th, 2023 (AoE) • Notification to authors: July 14th, 2023 (AoE) • Camera-ready versions due: July 31st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: • Regular Research Papers (15 pages including references, for the technical and special tracks) • PhD Symposium (12 pages including references) • Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC’s scope) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). They must be submitted to the EasyChair site at:  https://easychair.org/conferences/?conf=esocc2023 by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair • George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) Program Chairs • Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) • Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/

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Digital lexicography and lexical computing workshop, Cambridge, UK
by Ondřej Matuška 02 May '23

02 May '23

*<Lexicom/>* a workshop in digital lexicography and lexical computing *SAVE THE DATE* *Jesus College, Cambridge, UK*11 – 15 September 2023 Your 5 days to get up-to-date with the latest developments in *corpus-driven lexicography* and to activate and enhance your *corpus building and corpus query skills* with some of the top experts in the field. For the programme, lecturers, invited speakers, fees and registration, visit this website *lexicom.courses <https://lexicom.courses/lexicom-2023-cambridge-uk-lexicography-workshop/>* I hope to meet you in Cambridge in September! Ondřej *Ondřej Matuška* sketchengine.co.uk <http://www.sketchengine.co.uk> | Facebook <https://www.facebook.com/SketchEngine/> | LinkedIn <https://www.linkedin.com/in/ondrejmatuska> | Twitter <https://twitter.com/SketchEngine>

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Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad＠ugr.es 01 May '23

01 May '23

The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" Second call for papers Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: * Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; * Extraction and acquisition of semantic relations between terms; * Extraction and generation of domain specific definitions and disambiguation of terms; * Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; * Extraction of terminological context, through the use of comparable and parallel corpus; * Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; * The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); * The creation of domain ontologies, thesaurus, terminological resources in specialised domains; * The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; * Identification of key problems in terminology and new technologies used in translation studies; * Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; * Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; * Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; * Phraseology and multiword expressions in cross-linguistic studies; * Translation and interpreting tools, such as translation memories, machine translation and alignment tools; * User requirements for interpreting and translation tools. SUBMISSION GUIDELINES Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as ConTeNTs workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START system: https://softconf.com/ranlp23/ConTeNTS Website of the workshop: https://contents2023.kulak.kuleuven.be/ Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 10 July 2023 Acceptance notification: 5 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7/8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee * Sophia Ananiadou (University of Manchester) * Maria Andreeva Todorova (Bulgarian Academy of Sciences) * Silvia Bernardini (University of Bologna) * Melania Cabezas García (Universidad de Granada) * Rute Costa (Universidade Nova de Lisboa) * Esther Castillo Pérez (Universidad de Granada) * Patrick Drouin (Université de Montréal) * Pamela Faber (Universidad de Granada) * Mercedes García de Quesada (Universidad de Granada) * Dagmar Gromann (Centre for Translation Studies - University of Vienna) * Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) * Rejwanul Haque (National College of Ireland) * Amir Hazem (Nantes University) * Kyo Kageura (University of Tokyo) * Barbara Karsch (BIK Terminology - USA) * Dorothy Kenny (Dublin City University) * Miloš Jakubíček (Sketch Engine) * Hendrik Kockaert (KU Leuven) * Philipp Koehn (Johns Hopkins University) * Maria Kunilovskaya (Saarland University) * Marie-Claude L'Homme (Université de Montréal) * Hélène Ledouble (Université de Toulon) * Pilar León-Araúz (Universidad de Granada) * Rodolfo Maslias (former Head of TermCoord, European Parliament) * Silvia Montero Martínez (Universidad de Granada) * Emmanuel Morin (LS2N-TALN) * Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) * Sandrine Peraldi (University College Dublin) * Silvia Piccini (Italian National Research Council) * Thierry Poibeau (CNRS) * Senja Pollak (Jožef Stefan Institute) * Maria Pozzi Pardo (El Colegio de México) * Tharindu Ranasinghe (Aston University) * Arianne Reimerink (Universidad de Granada) * Andres Repar (Jožef Stefan Institute) * Christophe Roche (Université Savoie Mont-Blanc) * Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) * Beatriz Sánchez Cárdenas (Universidad de Granada) * Vilelmini Sosoni (Ionian University) * Irena Spasic (Cardiff University) * Elena Isabelle Tamba (Romanian Academy, Iași Branch) * Rita Temmerman (Vrije Universiteit Brussel) * Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

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Deadline extension - Workshop on Individual Differences in Pragmatics and Discourse (IndiPRAG)
by Jia Loy 01 May '23

01 May '23

We are happy to announce that we have extended the deadline for the workshop on Individual Differences in Pragmatics and Discourse (IndiPRAG). Extended deadline: 8th May 2023 Notification date: 5th June 2023 Workshop dates: 18th September (all day) and 19th September (morning) 2023 Workshop venue: Saarland University, Saarbrücken, Germany (the workshop is collocated with XPRAG in Paris, 20th-23rd September) ** Call for submissions: Experimental research in pragmatics and discourse processing has consistently found that not all comprehenders behave the same: while some seem to draw rich pragmatic inferences, others respond in a way that is more consistent with a literal interpretation (Fairchild & Papafragou, 2021; Mayn & Demberg, 2022). Similarly for discourse inference, experiments have found differences with respect to the sensitivity to discourse cues and the readiness for discourse predictions between participants (Scholman, Demberg & Sanders, 2020; Tskhovrebova, Zufferey & Gygax, 2022). This workshop aims to bring together researchers interested in exploring individual differences at the level of pragmatics and discourse, as well as methods for relating those differences to cognitive properties, and approaches for modelling the mechanism driving the individual differences effects. IndiPRAG Workshop invites submissions of abstracts addressing the following questions: - To what extent do pragmatic processing and discourse inferences differ between individuals? - How consistent are interpretation biases across different types of pragmatic implicatures? - What individual difference measures are particularly suitable for measuring IDs related to pragmatic processing? - How can we computationally model individual differences in discourse and pragmatics? - What statistical methods are best suited to identifying latent groups of participants and relating ID measures to task performance? ** Formatting guidelines: The abstracts must not exceed 1000 words for the text (excl. captions), 10000 characters for references, 2 figures. Abstracts should be submitted in PDF format, with 2.54 cm margins on all sides and 12 point font size, single-spaced. Please indicate up to three appropriate keywords for your abstract, which will be used for session planning. Abstracts must be written in English and should include a title but no information revealing the author(s). We welcome submissions for work that is being considered by other conferences, workshops, or journals. Submissions should be handed in via easychair: https://easychair.org/conferences/?conf=indiprag2023 ** We will have invited talks by: Kirsten Abbot-Smith, University of Kent Morten Christiansen, Cornell University Craig Hedge, Aston University Petra Hendriks, University of Groningen Antje Meyer & Florian Hintz, MPI for Psycholinguistics Nijmegen ** IndiPRAG is being organised by: Vera Demberg, Jia Loy, Alexandra Mayn, Dongqi Pu, Margarita Ryzhova, Merel Scholman, Sebastian Schuster You can contact us at: indiprag(a)lst.uni-saarland.de

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