- Corpora - ELRA lists

Second CFP: Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA)
by Kiril Simov 20 Jan '23

20 Jan '23

Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA) CLaDA-BG 2023 Conference https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen… Sofia, Bulgaria 10-12 May 2023 CLaDA-BG is the Bulgarian national research infrastructure for resources and technologies for linguistic, cultural and historical heritage, integrated within CLARIN EU and DARIAH EU. Its mission is to provide access to the necessary resources and technologies that would support the research in Social Sciences and Humanities (SS&H). Modeling and linking of various types of knowledge and its contexts is crucial for the successful research in the interdisciplinary field of resources and technologies related to language, culture and history. This is the second edition of the CLaDA-BG conference. It aims at bringing together NLP developers, linguists, digital humanitarians, scholars and all parties interested in knowledge modeling and linking data for research. Topics of Interest The topics include, but are not limited to, the following ones: Problems in SS&H – research methods, technological support Language technologies for sentiment analysis, semantic technologies, trust-worthiness of knowledge graphs, ethical challenges in digital SS&H Knowledge Modeling and Elicitation for digital SS&H Specific Language Resources and Technologies for historical texts, parliamentary records, speech and multimodal corpora, social media data The role of digital libraries, archives and museums in digital SS&H research Language Interface to Knowledge Graphs in SS&H Knowledge-modeled and linked applications in SS&H Best practices and new trends in Knowledge Modeling and Linking for language, culture and history Invited Speakers Alessandro Lenci, Università di Pisa, Italy Erhard Hinrichs, Leibniz Institut für Deutsche Sprache Mannheim and Tübingen University, Germany Milena Dobreva, Sofia University St Kliment Ohridski, Bulgaria TBA Important Dates Submission deadline: 24.02.2023 Notification of acceptance: 3.04.2023 Final Submission: 3.05.2023 Conference: 10-12.05.2023 Submissions We welcome oral presentations or posters (optionally with demo). There are two modes of submissions: Full papers (6 to 12 pages) or extended abstracts (3-5 pages, references excluded) in PDF format, in accordance with the Springer Computer Science Proceedings (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Please submit your full paper or extended abstract in PDF to this EasyChair link: https://easychair.org/my/conference?conf=ltdhra2023 For contacting organizers please use the following email: ltadh-ra(a)bultreebank.org The CLaDA-BG Organizer

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Call for Bids to Host ESSIR 2024 - Deadline: 5 March 2023
by Nicola Ferro 20 Jan '23

20 Jan '23

------------------------------------------- Call for Bids to Host ESSIR 2024 Deadline: 5 March 2023 Further details: https://www.essir.eu/ Contact: chair(a)essir.eu ------------------------------------------- The Steering Committee of the European Summer School on Information Retrieval (ESSIR) invites interested parties to submit bids to host ESSIR in 2024. ## INTRODUCTION ## The ESSIR initiative is a self-organized body, whose main mission is to promote research, innovation, and development of information access systems by educating junior and senior researchers, students, professionals, developers, and practitioners on the latest developments in the field, both methodological and technological. The ESSIR event is a week-long event, organized over the summer, where renowned lecturers and students interact together in a number of ways, e.g. lectures, hands-on sessions, flipped classrooms, aimed at the most effective teaching and learning of both basic and advanced topics on information access at large. By targeting information access at large, ESSIR places itself at the crossroad of several neighbors disciplines, namely + Information Retrieval (IR) + Recommender Systems (RecSys) + Natural Language Processing (NLP) + Machine Learning (ML) + Artificial Intelligence (AI) + Data Science (DS) ESSIR gives participants a grounding in the core subjects such as architectures; algorithms; formal theoretical models; evaluation theory and practice, as well as a coverage of recent topics and trends in the field, such as fairness, conversational search, and more. ESSIR is aimed at: advanced undergraduate students; PhD students; post-doctoral researchers; academic and industrial researchers; developers. Traditionally, ESSIR is co-located with accompanying events (such as the Symposium on Future Directions in Information Access, FDIA) that give the participants an excellent opportunity for focused discussions on recent emerging topics in Information Retrieval. Further details on ESSIR can be found at: https://www.essir.eu/ ## PROPOSAL SUBMISSION AND SELECTION ## Parties interested in hosting ESSIR 2024 are invited to submit proposals, in PDF format, by email to the ESSIR Steering Committee chair Nicola Ferro at chair(a)essir.eu by ** 5 MARCH 2023 ** Proposals will be evaluated by the ESSIR Steering Committee. Evaluation will take into account: + venue and timing: attractiveness of the location, hosting facilities, transportation options, accommodation, social program options, targeted event week, key dates, avoidance of timing conflicts with other relevant IR events and large-scale local public events. + scientific program: foundational topics, special lectures, accompanying events (podium discussions, poster sessions, etc.), strategy for acquiring and organizational support of high-quality IR lecturers. Proposals should also take into consideration the scheduling of relevant co-located events (symposiums, workshops) like FDIA. + support for student participants: grants, special conditions for participation and/or accommodation, opportunity to collect ECTS credit points, networking events, opportunities for personal dialogue with ESSIR lecturers. + financial viability: initial draft of the financial plan including major fixed and variable costs, budget cut-off points, strategy of sponsoring acquisition. + plans for organisation: local organizer consortium and its expertise in event/hosting management, key roles and initial responsibility assignments. Analysis of major risks (such as appropriate number of participants, commitment of key lecturers, sufficient amount of sponsoring) and reasonable fallback options. + dissemination and publicity: plans for reaching the target audience through mailing lists, direct contacts to research groups, scientific social networks, Web 2.0 channels, Web presence. Opportunities to share ESSIR materials within research community: slides, video lectures, scripts, post-proceedings, etc. The ESSIR charter and a bid template is available at: https://www.essir.eu/assets/charter/essir-sc-charter.pdf ## INQUIRIES AND FURTHER INFORMATION ## For any inquiries or if any additional information is needed, please write to chair(a)essir.eu

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Call-for-Papers: ACM TOMM SI on Realistic Synthetic Data: Generation, Learning, Evaluation
by Bogdan Ionescu 19 Jan '23

19 Jan '23

[Apologies for multiple postings] ACM Transactions on Multimedia Computing, Communications, and Applications Special Issue on Realistic Synthetic Data: Generation, Learning, Evaluation Impact Factor 4.094 https://mc.manuscriptcentral.com/tomm Submission deadline: 31 March 2023 *** CALL FOR PAPERS *** [Guest Editors] Bogdan Ionescu, Universitatea Politehnica din Bucuresti, România Ioannis Patras, Queen Mary University of London, UK Henning Muller, University of Applied Sciences Western Switzerland, Switzerland Alberto Del Bimbo, Università degli Studi di Firenze, Italy [Scope] In the current context of Machine Learning (ML) and Deep Learning (DL), data and especially high-quality data are central for ensuring proper training of the networks. It is well known that DL models require an important quantity of annotated data to be able to reach their full potential. Annotating content for models is traditionally made by human experts or at least by typical users, e.g., via crowdsourcing. This is a tedious task that is time consuming and expensive -- massive resources are required, content has to be curated and so on. Moreover, there are specific domains where data confidentiality makes this process even more challenging, e.g., in the medical domain where patient data cannot be made publicly available, easily. With the advancement of neural generative models such as Generative Adversarial Networks (GAN), or, recently diffusion models, a promising way of solving or alleviating such problems that are associated with the need for domain specific annotated data is to go toward realistic synthetic data generation. These data are generated by learning specific characteristics of different classes of target data. The advantage is that these networks would allow for infinite variations within those classes while producing realistic outcomes, typically hard to distinguish from the real data. These data have no proprietary or confidentiality restrictions and seem a viable solution to generate new datasets or augment existing ones. Existing results show very promising results for signal generation, images etc. Nevertheless, there are some limitations that need to be overcome so as to advance the field. For instance, how can one control/manipulate the latent codes of GANs, or the diffusion process, so as to produce in the output the desired classes and the desired variations like real data? In many cases, results are not of high quality and selection should be made by the user, which is like manual annotation. Bias may intervene in the generation process due to the bias in the input dataset. Are the networks trustworthy? Is the generated content violating data privacy? In some cases one can predict based on a generated image the actual data source used for training the network. Would it be possible to train the networks to produce new classes and learn causality of the data? How do we objectively assess the quality of the generated data? These are just a few open research questions. [Topics] In this context, the special issue is seeking innovative algorithms and approaches addressing the following topics (but is not limited to): - Synthetic data for various modalities, e.g., signals, images, volumes, audio, etc. - Controllable generation for learning from synthetic data. - Transfer learning and generalization of models. - Causality in data generation. - Addressing bias, limitations, and trustworthiness in data generation. - Evaluation measures/protocols and benchmarks to assess quality of synthetic content. - Open synthetic datasets and software tools. - Ethical aspects of synthetic data. [Important Dates] - Submission deadline: 31 March 2023 - First-round review decisions: 30 June 2023 - Deadline for revised submissions: 31 July 2023 - Notification of final decisions: 30 September 2023 - Tentative publication: December 2023 [Submission Information] Prospective authors are invited to submit their manuscripts electronically through the ACM TOMM online submission system (see https://mc.manuscriptcentral.com/tomm) while adhering strictly to the journal guidelines (see https://tomm.acm.org/authors.cfm). For the article type, please select the Special Issue denoted SI: Realistic Synthetic Data: Generation, Learning, Evaluation. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. If the submission is an extended work of a previously published conference paper, please include the original work and a cover letter describing the new content and results that were added. According to ACM TOMM publication policy, previously published conference papers can be eligible for publication provided that at least 40% new material is included in the journal version. [Contact] For questions and further information, please contact Bogdan Ionescu / bogdan.ionescu(a)upb.ro. [Acknowledgement] The Special Issue is endorsed by the AI4Media "A Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democracy" H2020 ICT-48-2020 project https://www.ai4media.eu/. On behalf of the Guest Editors, Bogdan Ionescu https://www.aimultimedialab.ro/

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January 2023 Newsletter - LDC
by Penn LDC 19 Jan '23

19 Jan '23

In this newsletter: Renew your LDC membership today 30th Anniversary Highlight: CSR New publications: AIDA Ukrainian Broadcast and Telephone Speech Audio and Transcripts<https://catalog.ldc.upenn.edu/LDC2023S01> LORELEI Swahili Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T01> ________________________________ Renew your LDC membership today The importance of curated resources for language-related education, research, and technology development drives LDC's mission to create them, to accept data contributions from researchers across the globe, and to broadly share such resources through the LDC Catalog. LDC members enjoy no-cost access to new corpora released annually, as well as the ability to license legacy data sets from among our 925+ holdings at reduced fees. Ensure that your data needs continue to be met by renewing your LDC membership or by joining the Consortium today. Now through March 1, 2023, 2022 members receive a 10% discount on 2023 membership, and new or returning organizations receive a 5% discount. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for more details on membership options and benefits. 30th Anniversary Highlight: CSR The CSR (continuous speech recognition) corpus series was developed in the early 1990s under DARPA's Spoken Language Program to support research on large-vocabulary CSR systems. CSR-I (WSJ0) Complete (LDC93S6A)<https://catalog.ldc.upenn.edu/LDC93S6A> and CSR-II (WSJ1) Complete (LDC94S13A)<https://catalog.ldc.upenn.edu/LDC94S13A> contain speech from a machine-readable corpus of Wall Street Journal news text. They also include spontaneous dictation by journalists of hypothetical news articles as well as transcripts. The text in CSR-I (WSJ0) was selected to fall within either a 5,000-word subset or a 20,000-word subset. Audio includes speaker-dependent and speaker-independent sections as well as sentences with verbalized and nonverbalized punctuation. (Doddington, 1992<https://aclanthology.org/H92-1074.pdf>). CSR-II features "Hub and Spoke" test sets that include a 5,000-word subset and a 64,000-word subset. Both data sets were collected using two microphones: a close-talking Sennheiser HMD414 and a second microphone of varying type. WSJ0 Cambridge Read News (LDC95S24)<https://catalog.ldc.upenn.edu/LDC95S24> was developed by Cambridge University and consists of native British English speakers reading CSR WSJ news text, specifically, sentences from the 5,000-word and 64,000-word subsets. All speakers also recorded a common set of 18 adaptation sentences. The CSR corpora continue to have value for the research community. CSR-I (WSJ0) target utterances were used in the CHiME2 and CHiME3 challenges which focused on distant-microphone automatic speech recognition in real-world environments. CHiME2 WSJ0 (LDC2017S10)<https://catalog.ldc.upenn.edu/LDC2017S10> and CHiME2 Grid (LDC2017S07)<https://catalog.ldc.upenn.edu/LDC2017S07> each contain over 120 hours of English speech from a noisy living room environment. CHiME3 (LDC2017S24)<https://catalog.ldc.upenn.edu/LDC2017S24> consists of 342 hours of English speech and transcripts from noisy environments and 50 hours of noisy environment audio. CSR-I target utterances were also used in the Distant-Speech Interaction for Robust Home Applications (DIRHA) Project which addressed natural spontaneous speech interaction with distant microphones in a domestic environment. DIRHA English WSJ Audio (LDC2018S01)<https://catalog.ldc.upenn.edu/LDC2018S01> is comprised of approximately 85 hours of real and simulated read speech from native American English speakers in an apartment setting with typical domestic background noises and inter/intra-room reverberation effects. Multi-Channel WSJ Audio (LDC2014S03)<https://catalog.ldc.upenn.edu/LDC2014S03>, designed to address the challenges of speech recognition in meetings, contains 100 hours of audio from British English speakers reading sentences from WSJ0 Cambridge Read News. There were three recording scenarios: a single stationary speaker, two stationary overlapping speakers, and one single moving speaker. All CSR corpora and their related data sets are available for licensing by Consortium members and non-members. Visit Obtaining Data<https://www.ldc.upenn.edu/language-resources/data/obtaining> for more information. ________________________________ New publications: AIDA Ukrainian Broadcast and Telephone Speech Audio and Transcripts<https://catalog.ldc.upenn.edu/LDC2023S01> and is comprised of approximately 156 hours of Ukrainian conversational telephone speech and broadcast news audio with 1.2 million words of corresponding orthographic transcripts. The news audio data was taken from 87 recordings broadcast by various Ukrainian sources. The telephone speech was generated from telephone calls by native Ukrainian speakers to acquaintances in their social network. Native Ukrainian speakers manually segmented the data into sentence-level units as part of the transcription process. The broadcast recordings and transcripts were produced by LDC to support the DARPA AIDA (Active Interpretation of Disparate Alternatives) program which aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations, and trends from a variety of unstructured sources. The telephone speech audio recordings were collected by LDC to support the NIST 2011 Language Recognition Evaluation <https://www.nist.gov/itl/iad/mig/2011-language-recognition-evaluation> and are also contained in Multi-Language Conversational Telephone Speech 2011 - Slavic Group LDC2016S11<https://catalog.ldc.upenn.edu/LDC2016S11>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Swahili Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T01> was developed by LDC and is comprised of approximately 4.3 million words of Swahili monolingual text, 90,000 Swahili words translated from English data, and 545,000 words of found Swahili-English parallel text. Approximately 100,000 words were annotated for named entities and up to 26,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Research Associate in natural language processing
by truss003＠gold.ac.uk 19 Jan '23

19 Jan '23

Job advertisement Goldsmiths, University of London is seeking to appoint a fixed-term part-time research associate with enthusiasm for discourse analysis and expertise in natural language processing and/or corpus linguistics. This role is part of a research project developed at the Department of Computing in collaboration with the linguistics team from the Department of English and Creative Writing. The project aims to capture and analyse the “public conversation” around the ongoing energy crisis. This issue has become the nexus for important social debates around pivotal issues like climate change, as well as the distribution of economic burdens, equality, risk and sustainability. A study of public debates around the energy crisis can help us understand the complex intersection of discourses around fossil fuels, climate change, sustainability and social justice. As part of this interdisciplinary project, you will work with linguists and computer scientists at Goldsmiths to combine expertise in NLP and corpus linguistics with expertise in qualitative discourse analysis. You will be expected to develop, implement, and apply novel algorithms to online media content. This will involve appropriate NLP techniques, such as entity recognition, semantic role labelling, topic modelling and sentiment analysis. You should have a strong background in software development, ideally in a research environment or another area related to rapid prototyping and innovation. Closing date: 10-Feb-2023 Interested? For further details and to apply visit: https://jobs.gold.ac.uk/vacancy/research-associate-strategic-research-fund-… For more information or for an informal discussion please contact Dr Tony Russell-Rose (t.russell-rose(a)gold.ac.uk) or Dr Geri Popova (g.popova(a)gold.ac.uk). Kind Regards, Tony ============================== Dr Tony Russell-Rose FBCS CITP CEng Reader in Computer Science Goldsmiths, University of London Email: T.Russell-Rose(a)gold.ac.uk ==============================

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4-year-PhD Position Santiago de Compostela
by Corpus Pages 19 Jan '23

19 Jan '23

*4-year PhD position in Corpus Linguistics * The Department of English and German Philology of the University of Santiago de Compostela invites applications for a 4 -year PhD position in Corpus Linguistics for the project, funded by the Spanish National Research Agency (AEI): *PACORES, Spanish Parallel Corpora *(PID2021-125313OB-I00). The doctoral research will be focused on different tasks of Natural Language Processing in multilingual contexts. *Application deadline: 26/01/2023* More information about this call: Ayudas para contratos predoctorales para la formación de doctores 2022 <https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat…> (Grants for pre-doctoral contracts for PhDs 2022) More information on the specific project: i.doval(a)usc.es *Requirements* Experience in the use of a programming language (e.g. Python) Knowledge of natural language processing tasks, ideally with previous experience in multilingual text processing.

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ICMI 2023 Call for Workshops
by Gualtiero Volpe 19 Jan '23

19 Jan '23

25th ACM International Conference on Multimodal Interaction (9-13 October 2023) ICMI 2023 Call for Workshops : https://icmi.acm.org/2023/call-for-workshops/ The International Conference on Multimodal Interaction (ICMI 2023) will be held in Paris on October 9-13, 2023. ICMI is the premier international conference for multidisciplinary research on multimodal human-human and human-computer interaction analysis, interface design, and system development. ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models, and applications. Examples of recent workshops include: * Media Analytics for Societal Trends * International Workshop on Automated Assessment of Pain (AAP) * Multi-sensorial Approaches to Human-Food Interaction * Multimodal e-Coaches * Modeling Cognitive Processes from Multimodal Data * Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction * Investigating Social Interactions with Artificial Agents * Insights on Group & Team Dynamics * Face and Gesture Analysis for Health Informatics * Generation and Evaluation of Non-verbal Behaviour for Embodied Agents * Bridging Social Sciences and AI for Understanding Child Behavior We are seeking workshop proposals on emerging research areas related to the main conference topics, and those that focus on multi-disciplinary research. We would also strongly encourage workshops that will include a diverse set of keynote speakers (factors to consider include: gender, ethnic background, institutions, years of experience, geography, etc.). The content of accepted workshops is under the control of the workshop organizers. Workshops may be half-day or one-day in duration. Workshop organizers will be expected to manage the workshop content, solicit submissions, be present to moderate the discussion and panels, invite experts in the domain, conduct the reviewing process, and maintain a website for the workshop. Workshop papers will be indexed by ACM Digital Library in an adjunct proceeding, and a short workshop summary by the organizers will be published in the main conference proceedings. Submission Prospective workshop organizers are invited to submit proposals in PDF format (Max. 3 pages). Please email proposals to the workshop chairs: Giovanna Varni and Theodora Chaspari (icmi2023-workshop-chairs(a)acm.org <mailto:icmi2023-workshop-chairs@acm.org> ). The proposal should include the following: * Workshop title * List of organizers including affiliation, email address, and short biographies * Workshop motivation, expected outcomes and impact * Tentative list of keynote speakers * Workshop format (by invitation only, call for papers, etc.), anticipated number of talks/posters, workshop duration (half-day or full-day) including tentative program * Planned advertisement means, website hosting, and estimated participation * Paper review procedure (single/double-blind, internal/external, solicited/invited-only, pool of reviewers, etc.) * Paper submission and acceptance deadlines * Special space and equipment requests, if any Important dates Workshop proposal submission February 5, 2023 Notification of acceptance February 17, 2023 Workshop papers due July 23, 2023 Workshop dates 9-13 October 2023

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CFP: Field Matters 2023 - The Second Workshop on NLP Applications to Field Linguistics
by fieldmattersworkshop＠gmail.com 18 Jan '23

18 Jan '23

Dear colleagues, We are happy to announce that The Second Workshop on NLP Applications to Field Linguistics (Field Matters 2023) will take place at EACL 2023 on May 2-6 in Dubrovnik, Croatia (online participants are also welcomed). The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation. We accept papers on the following topics: - Application of NLP to field linguistics workflow; - Transfer learning for under-resourced language processing; - The use of fieldwork data to build NLP systems; - Modeling morphology and syntax of typologically diverse languages in the low-resource setting; - Speech processing for under-resourced languages; - Computational analysis of field linguistics datasets; - Using technology for preserving culture via language; - Improving ways of interaction with Indigenous communities; - Machine-readable field linguistic datasets. Submission deadline is February 13. You can find more information on the submission process and format requirements on our website (https://field-matters.github.io/cfp2023). Subscribe to our Twitter (https://twitter.com/field_matters) to follow the updates. If you have any questions, feel free to ask them! Best regards, Anna Postnikova Field Matters workshop organizing committee fieldmattersworkshop(a)gmail.com

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AfricaNLP Workshop collocated with ICLR 2023
by Tunde Ajayi 18 Jan '23

18 Jan '23

Dear all, Sorry if you have received this before. This is a call for participation at the AfricaNLP Workshop collocated with ICLR 2023. =========================== 📢 CALL FOR PARTICIPATION 📢 =========================== The 4th AfricaNLP workshop is co-located with ICLR 2023 in Rwanda. We are happy to receive your submissions on 3rd February 2023, AoE deadline. The theme for the 2023 Workshop is *African NLP in the Era of Large Language Models.* For the Workshop, we will accept extended abstracts (up to two pages) and full papers (up to 8 pages) with unlimited references and appendices. Accepted submissions will be eligible for oral or poster presentation and may opt-in to be published in arXiv proceedings. In addition, we are offering mentorship to newcomers in NLP research areas in both the technical aspects (e.g training a model) and academic paper writing. Please, register to be a mentee or a mentor using this Google form <https://docs.google.com/forms/d/e/1FAIpQLSckT2FbNccoqSnRUjlBXEMtmuxWjZbr7bW…> . *Important Dates* ------------------------------------------------------------ ------------------------------------------------------------------- Submission Deadline: 3rd February, 2023 (AoE) Acceptance Notifications: 3rd March, 2023 (AoE) Camera-ready: In-view Workshop date: 5th May, 2023 in Kigali, Rwanda & Virtual For further information and sponsorship, please visit the workshop website <https://sites.google.com/view/africanlp2023/home> ------------------------------------------------------------ ------------------------------------------------------------------- Best regards, Tunde Ajayi For: Organising Committee

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Call for submissions: Workshop on Individual Differences in Pragmatics and Discourse (IndiPRAG)
by Jia Loy 18 Jan '23

18 Jan '23

[With apologies for cross-posting] We are pleased to announce that submissions for the Workshop on Individual Differences in Pragmatics and Discourse (IndiPRAG) are now open. Submission deadline: 1st 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). 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 Morton 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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