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First Call for Demos: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese [Apologies for cross-postings]
by Iria de Dios Flores 09 May '23

09 May '23

******************************************************** *PROPOR 2024: 16th International Conference on Computational Processing of Portuguese * Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th to 15th 2024 https://propor2024.citius.gal/ ******************************************************** The International Conference on Computational Processing of Portuguese (PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. The PROPOR 2024 demonstration program committee *invites* *submissions for demonstrations*. Following the spirit of previous PROPOR editions, the demonstration track aims at bringing together academia and industry, creating a forum where more than written or spoken descriptions of research are available. Thus, demos should allow attendees to try and test them during their presentation in a dedicated session that will provide a more informal and interactive setting. Products, systems, or tools are examples of acceptable demos. Both early-research prototypes and mature systems may also be considered. *Important dates:* - Demos Submission: *December 10 2023 * - Notification of acceptance or rejection: *January 21 2024* - Camera-ready demo paper: *January 28 2024* - Conference: *March 14 and 15 2024* *Topics:* The areas of interest include all topics related to theoretical and applied issues of written and spoken Portuguese and Galician, such as, but not limited to, the same topics as for the conference paper submission: - Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) - Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) - Natural language generation - Information extraction and information retrieval - Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) - Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) - Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) - NLP-oriented linguistic description or theoretical analysis - Distributional semantics and language modeling - Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, São Tomé, and Principe) - Multilingual studies, methods, applications, and resources including Portuguese/Galician The systems may be of the following kinds: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for computational linguistics research - Software for demonstration or evaluation - Development tools *Submissions:* Submissions should consist of a non-anonymous brief description document of up to* three pages *of content, including references. Developers must outline the main characteristics of their system/product/tool, provide sufficient details to allow its evaluation, and give information on how they plan to demonstrate it. Developers are encouraged to focus their description on the relevance of the computational processing component of Portuguese or Galician in the proposed system. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given one extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: - LaTeX styelesheet: https://github.com/acl-org/acl-style-files/tree/master/latex - MS Word stylesheet: https://github.com/acl-org/acl-style-files/tree/master/word *The URL for paper submission will be available soon.* *Publication:* Accepted demo papers are expected to be published by ACL as a volume in ACL Anthology (https://aclanthology.org/) as part of the PROPOR 2024 proceedings. They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. *Presentation format:* Accepted demos will be presented at a designated demo session with an optional accompanying poster. Developers should make sure they could run their demos properly. Thus, it is the authors’ responsibility to provide the necessary technical conditions (i.e. equipment) for the demo at the conference. Note that the local organizers will not provide any hardware or software. Free high-speed Internet access will be available. There will be *a best demo award* for the best-presented project. Further details on the date, time, and instructions of the demonstration session(s) will be determined and provided at a later date. *Demo chairs*: - Marlo Souza (Universidade Federal da Bahia, Brazil) - Iria de-Dios-Flores (Universidade de Santiago de Compostela, Spain) -- *Iria de-Dios-Flores (PhD)* *https://sites.google.com/view/iriadediosflores/ <https://sites.google.com/view/iriadediosflores/>*

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[PhD-Position] Muiltimodal Fake-News and Disinformation Detection incl. xAI in TU Berlin
by Tim Polzehl 09 May '23

09 May '23

Dear colleagues, deadline approaching - roughly only a week left! TU Berlin is looking for a PhD candidate and Researcher, offering a 3 years contract with optional prolongation in our joint "News Polygraph“ project. We will primarily focus on applying various natural language processing models (especially transformer-based models) in the area of text-based fake news detention. In addition, various models will be explored and implemented in the domain of explainable AI, in order to make language models more transparent and reliable for end users. Moreover, data handling for English and German inputs is required for creating balanced training data to prevent biases in data, but countermeasures for biases in NLP models should also be handled. Real end users are involved in this project, e.g. Rundfunk Berlin Brandenburg (rbb - Berlin and Brandenburg’s official broadcaster on TV, radio and online) and Deutsche Welle (DW - Germany’s official voice for Germany abroad, broadcasting in more than 50 languages around the world), for whom a fact checking platform is to be developed that enables journalists to verify information in different modalities. In addition, several project partners from science (German Research Centre for Artificial Intelligence SLT and Fraunhofer IDMT) and industry (Ubermetrics, Transfermedia, Crowdee and Delphai) will work on similar solution approaches for the modalities audio, image and video. Finally, the project integrated crowd-wisdom harvesting automation into AI modelling in order to fuse human and artificial intelligence the best ways possible. This project combines both scientific developments with practical requirements in order to be able to process and detect false information faster and more comprehensively. If desired and suitable, a PhD in the subject area can be pursued as well as publication and presentation of project and research results in scientific journals, at conferences and workshops. Application deadline: May 18 More details: https://tub.stellenticket.de/en/offers/164721 Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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[PhD-Position] Muiltimodal Fake-News and Disinformation Detection incl. xAI in TU Berlin
by Tim Polzehl 09 May '23

09 May '23

Dear colleagues, deadline approaching - roughly only a week left! TU Berlin is looking for a PhD candidate and Researcher, offering a 3 years contract with optional prolongation in our joint "News Polygraph“ project. We will primarily focus on applying various natural language processing models (especially transformer-based models) in the area of text-based fake news detention. In addition, various models will be explored and implemented in the domain of explainable AI, in order to make language models more transparent and reliable for end users. Moreover, data handling for English and German inputs is required for creating balanced training data to prevent biases in data, but countermeasures for biases in NLP models should also be handled. Real end users are involved in this project, e.g. Rundfunk Berlin Brandenburg (rbb - Berlin and Brandenburg’s official broadcaster on TV, radio and online) and Deutsche Welle (DW - Germany’s official voice for Germany abroad, broadcasting in more than 50 languages around the world), for whom a fact checking platform is to be developed that enables journalists to verify information in different modalities. In addition, several project partners from science (German Research Centre for Artificial Intelligence SLT and Fraunhofer IDMT) and industry (Ubermetrics, Transfermedia, Crowdee and Delphai) will work on similar solution approaches for the modalities audio, image and video. Finally, the project integrated crowd-wisdom harvesting automation into AI modelling in order to fuse human and artificial intelligence the best ways possible. This project combines both scientific developments with practical requirements in order to be able to process and detect false information faster and more comprehensively. If desired and suitable, a PhD in the subject area can be pursued as well as publication and presentation of project and research results in scientific journals, at conferences and workshops. Application deadline: May 18 More details: https://tub.stellenticket.de/de/offers/164721/?locale=en<https://tub.stellenticket.de/de/offers/157309/?locale=en> Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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2nd CFP: MEDDOPLACE Shared Task (Evaluation now open!)
by Salvador Lima 08 May '23

08 May '23

(Apologies for cross-posting) 2nd CFP: MEDDOPLACE Shared Task (locations, clinical departments and travel NER/linking + geocoding from health texts) - NEW: Evaluation now open on CodaLab until mid-June! Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines: https://zenodo.org/record/7775235 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017 MOTIVATION Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. We organize the MEDDOPLACE shared task (Medical Documents PLAce-related Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we released the MEDDOPLACE corpus of clinical case texts in Spanish annotated with location-relevant entity mentions, following annotation guidelines and entity linking procedures. Practical impact: - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. The expected results and resources show a multilingual adaptation potential and impact beyond healthcare (e.g. adaptation to tourism/traveling-related content or legal texts). TASKS SUBTRACKS: 1. Location Entity Recognition: detect exact character offsets of all location & location-related mentions. 2. Geographic Entity Normalization (Geocoding/Entity Linking): for entity mentions, normalize them to their GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept, depending on entity type. 3. Entity Subclassification: Classification of entity mentions into four subcategories of clinical relevance (patient’s origin place; residence’s location; place where the patient has traveled to/from; place where the patient has received medical attention) 4. End-to-End: Participant systems are evaluated in all three tasks above sequentially instead of being evaluated on their own. Publications & workshop Teams participating will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop, see: https://temu.bsc.es/meddoplace/publications/. Tentative Schedule: - End of evaluation Phase 1: May 31st, 2023 - End of evaluation Phase 2: June 12th, 2023 - Working papers submission: June 14th, 2023 - Notification of acceptance (peer-reviews): June 26th, 2023 - Camera-ready system descriptions: July 5th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eulàlia Farré, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain

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Reminder: Job Opening at CRC 1102, Saarbrücken (Postdoc or PhD)
by Stefania Degaetano-Ortlieb 08 May '23

08 May '23

Job Title: Postdoctoral Researcher or PhD Candidate in Computational Linguistics/Digital Humanities/Corpus Linguistics Position Type: Full-time, fixed-term (2 years with the possibility of extension) Salary in accordance with the German TV-L salary scale, pay grade: E13 TV- L. Application Deadline: June 1, 2023 Start Date: earliest possible opportunity, subject to negotiation Location: Saarland University is a campus university with an international reputation for research excellence, particularly in computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to France and its strong European focus. Around 17,000 students, studying over one hundred different academic disciplines, are currently enrolled at Saarland University. Saarland University is officially recognized as one of Germanys family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one of the largest employers in the region. Workplace/Department: The position is affiliated with project B1 of the DFG-funded Collaborative Research Center (CRC) 1102. The successful applicant will have the opportunity to collaborate closely with other researchers at the CRC and 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. It is located at Saarland University, one of the leading centers for computational linguistics in Europe. 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. See https://sfb1102.uni-saarland.de/ for more information on the CRC. Project B1: Information Density in English Scientific Writing: A Diachronic Perspective PIs: Elke Teich ( <mailto:e.teich@mx.uni-saarland.de> e.teich(a)mx.uni-saarland.de), Stefania Degaetano-Ortlieb ( <mailto:s.degaetano@mx.uni-saarland.de> s.degaetano(a)mx.uni-saarland.de) We are seeking a highly motivated Postdoctoral Researcher or PhD candidate with a strong background in computational linguistics or digital humanities and a keen interest in diachronic language studies. The position is situated in Project B1 on the Diachronic Development of Scientific English using information-theoretic approaches and considering rational communication accounts. Project B1 is concerned with the hypothesis of communicative optimization in the development of scientific English. Based on a diachronic corpus (Royal Society Corpus), we have applied selected types of computational language models (e.g. topic models, n-gram models, word embeddings) and combined them with information-based measures (e.g. entropy, surprisal) to capture diachronic variation. In the upcoming project phase, we intend to address the following research questions: (1) Is there evidence of a more general diachronic mechanism (beyond scientific language)? (2) Within scientific language, what are additional, typical imprints of conventionalization (register variables)? (3) How can we assess the overall communicative efficiency of scientific language (effects on working memory)? Focusing on selected linguistic phenomena (multi-word expressions, discourse markers, nominal vs. verbal phrases), we complement a corpus-based, production-oriented approach with selected behavioral, comprehension-oriented studies. Job requirements and responsibilities: * Conduct research on the diachronic development of scientific English using computational methods and information-theoretic approaches * Analyze linguistic data and develop models to understand the underlying principles of rational communication in scientific discourse * Collaborate with a multidisciplinary team of researchers in linguistics, computational linguistics, psycholinguistics, and related fields * Present research findings at conferences and publish in high-impact, peer-reviewed journals Your academic qualifications: * A completed MA/MSc in computational linguistics, digital humanities, or a closely related field (for Phd candidates) * A completed (or soon to be completed) PhD in computational linguistics, digital humanities, or a closely related field (for Postdoc candidates) The successful candidate will also be expected to: * Strong programming skills and experience with computational text analysis, natural language processing, or machine learning techniques * Familiarity with variationist/diachronic language studies * A solid understanding of information-theoretic approaches would be a plus * Familiarity with experimental linguistics would be a plus * Excellent written and verbal communication skills * A good command of English is mandatory * Ability to work independently and collaboratively in a multidisciplinary research environment What we can offer you: A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking Secure and future-oriented employment with attractive conditions A broad range of further education and professional development programs (for example language courses) An occupational health management model with numerous attractive options, such as our university sports program Supplementary pension scheme (RZVK) Discounted tickets on local public transport services (Job-Ticket Plus of the saarVV) To apply, please submit the following documents: 1. Cover letter detailing your research interests, qualifications, and motivation for applying 2. Curriculum vitae, including a list of publications 3. Names of two scholars who can be addressed for a letter of reference Please submit your application materials via email to e.teich(a)mx.uni-saarland.de <mailto:e.teich@mx.uni-saarland.de> and s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> by June 1, 2023. For further information about the position or the research center visit our website at https://sfb1102.uni-saarland.de/ . We look forward to receiving your application and exploring the possibility of you joining our dynamic research team.

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PhD on generation of Norwegian news texts at U. of Bergen
by Koenraad de Smedt 08 May '23

08 May '23

The University of Bergen invites applications for a PhD position at MediaFutures: Research Centre for Responsible Media Technology & Innovation. The position will be on Norwegian Language Technology, in particular the generation and adaptation (including summarization) of Norwegian news texts. The methodology could include generative neural encoder-decoder architectures using large Norwegian language models. https://www.jobbnorge.no/en/available-jobs/job/244992/phd-research-fellowsh…

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New book: Lenguaje claro y tecnología en la Administración (Plain language and technology in the Administration)
by spistola＠flog.uned.es 08 May '23

08 May '23

Recently, the book "Lenguaje claro y tecnología en la Administración" was published, edited by Iria da Cunha, with a prologue by Ricardo Mairal. The book includes chapters by different authors and is published in the Interlingua collection of Editorial Comares. More information can be found at the following link: https://www.comares.com/libro/lenguaje-claro-y-tecnologia-en-la-administrac… Description If you have this book in your hands or you are reading this synopsis, you are probably doing so for one of the following two reasons: either you are a specialist in the field of this publication (working in academia, business or Administration) or the title has caught your attention because, currently, it is difficult to find the terms "plain language", "technology" and "Administration" together. If you are a specialist in the field, you know the meaning of these terms. In this case, the content of the different chapters of this book will provide you with novel approaches and studies in which synergies are established between these three terms. If you have simply been surprised to see such different concepts in the title, in each chapter, you will find a detailed explanation with examples, before addressing the synergies between them. The chapters address topics such as computational linguistics and discourse, plain language in Spanish and English, textual corpora, textual genres in the field of Administration, phraseology, terminological variation, the assisted writing software “arText claro”, and comprehension and clarity perception assessment. Whatever your profile, we hope that we can provide you with relevant knowledge and that you enjoy the book. Subjects: Discourse Analysis, Digital Humanities, Computational Linguistics, Corpus Linguistics, Terminology Table of contents Prologue by Ricardo Mairal Introduction by Iria da Cunha Chapter 1. Lingüística computacional y discurso: Hacia la solución de problemas reales. Maite Taboada Chapter 2. Análisis contrastivo inglés-español de las recomendaciones sobre lenguaje claro en el ámbito jurídico-administrativo en los últimos 10 años dentro de la Unión Europea. M. Ángeles Escobar and Eva Samaniego Chapter 3. Hacia la clarificación de la fraseología del ámbito de la Administración: Un estudio basado en corpus. M. Amor Montané Chapter 4. Análisis de la estructura y contenidos de un corpus de géneros textuales del ámbito de la Administración. Sara Pistola Chapter 5. Lenguaje claro y variación terminológica en textos de la Administración. Susana Viñuales-Ferreiro and Sara Pistola Chapter 6. Palabras largas vs. palabras cortas: Una estrategia para el lenguaje claro basada en la variación sinonímica. Gerardo Sierra Chapter 7. El sistema arText claro: el primer redactor asistido para el español que ayuda a escribir textos en lenguaje claro. Iria da Cunha Chapter 8. Impacto del uso arText claro en la comprensión lectora y en la percepción de claridad de textos administrativos por parte de estudiantes universitarios. Juan Antonio Núñez and Iria da Cunha

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Call for Papers: Discover Artificial Intelligence (Springer Nature-New Launched Journal) – Large Language Models and AI-Generated Content
by Hongfei Xu 08 May '23

08 May '23

Apologies for cross-posting.   Call for Papers: Discover Artificial Intelligence (Springer Nature-New Launched Journal) – Large Language Models and AI-Generated Content   Description Recent years have witnessed rapid and remarkable progress made in large language models (LLMs), e.g., ChatGPT, GPT-4, BARD, Claude, etc. The emerging LLMs not only revolutionize the field of natural language processing, but also have a transformative impact on AI, science and society. On the one hand, LLMs are used as backbone models for generative AI, enabling AI-generated content (AIGC) in a variety of forms, e.g., text, image, video, audio. On the other hand, challenges coexist with opportunities in LLMs. Due to the blackbox nature of LLMs, the theoretical reasons of emergent abilities, chain-of-thought capability, instruction generalization, etc., are not yet clear. Value alignment of LLMs, which handles ethical concerns regarding different aspects of LLMs and makes them safe, is both a societal and technological desideratum.   Topics of interest This Topical Collection aims at soliciting articles on large language models/AI-generated content via either large language models or other technologies. Topics of interest include, but are not limited to: - Data processing and governance for large language models/AIGC - Deep analysis of capabilities of large language models - Interpretable large language models - Neural architectures for large language models/AIGC - Large multimodal models/AIGC - Training and inference algorithms for large language models/AIGC - Approaches to the alignment of large language models, e.g., RLHF - Ethics issues of large language models/AIGC - Various applications of LLMs in AIGC or for social good - Automatic/Human Evaluations of LLMs/AIGC   Keywords Large Language Models, AI-Generated Content, AI Alignment, Natural Language Processing, Ethics Issues of LLMs, LLM Evaluation, LLM Interpretability   Submission information To submit your manuscript for consideration at Discover Artificial Intelligence as part of this Collection, please follow the steps detailed on this page. On the first page of our online submission system, under “Select article type:” select the option of your article type. Then when filling out the manuscript information, select the “Large Language Models and AI-Generated Content” Collection from the collection list on the “Details” tab. Authors should express their interest in the Collection in their cover letter. All manuscripts submitted to a Collection are assessed according to the standard Discover Artificial Intelligence editorial criteria and peer review process and are subject to all standard journal policies. If accepted for publication, an article processing charge applies (with a standard waiver policy). Submissions will be welcomed at any point up until 31 December 2023, but if you are unable to submit a manuscript before this date, please feel free to let us know as we may be able to be flexible.   This article Collection is a great opportunity to highlight this important area of research, and we hope you will be able to contribute.

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Diponegoro Summer Course in Corpus Linguistics 2023
by PRIHANTORO PRIHANTORO 08 May '23

08 May '23

Apologies for cross-posting. ---- We are pleased to announce that registration for DipSCORLING (Diponegoro Summer Course in Corpus Linguistics) 2023 is now open ( https://bit.ly/dipscorling2023-reg). The summer course is hosted by Universitas Diponegoro, Semarang, Indonesia. DipSCORLING 2023 will be held online during the summer between 10-14 July 2023 by Diponegoro University. Attending the summer course provides an excellent chance to gain knowledge of corpus linguistics from renowned experts in the field and connect with other participants engaged in intriguing projects and topics. Diponegoro Summer Course in Corpus Linguistics attracts a diverse group of individuals from various countries, making it a truly international gathering. While the primary purpose of this event is to learn about corpus linguistics, it also serves as a platform for forging new academic partnerships and forming meaningful friendships. The summer course is free of charge and it assumes no prior knowledge of corpus linguistics. More information at https://english.fib.undip.ac.id/dipscorling2023/ KEYNOTE SPEAKERS - Dr. Robbie Love (Aston University, UK) - Dr. Andressa Gomide (Universidade de Coimbra, Portugal) - Prihantoro, Ph.D (Universitas Diponegoro, Indonesia) - Dr. Peter Crostwhaite (University of Quuensland, Australia) - Karlina Denistia, Ph.D (Universitas Sebelas Maret, Indonesia) MATERIALS: - Corpus and Corpus Query Systems - Corpus Query Techniques - Concordances - Frequency list - Collocation DIPONEGORO SPECIAL LECTURE - Corpora and Applied Linguistics REGISTRATION LINK - http://bit.ly/dipscorling2023-reg IMPORTANT DATES: - Registration: 1 May - 9 June - Notification of Accepted participants: 16 June - Summer Course : 10-14 June CONTACTS - Email: cl_summercourse(a)live.undip.ac.id - Phone/WhatsApp: Nadira (+6282288859011), Dash (+6281296911005), Tyas (+6282334688092) Best Regards, Prihantoro cl_summercourse(a)live.undip.ac.id #dipscorling2023

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CFP: AAAI-ICWSM's special issue in the Journal of Quantitative Description
by #KOKIL JAIDKA# 08 May '23

08 May '23

Hi there, I'm one of the Program Chairs of the AAAI International Conference on Web and Social Media (ICWSM-24). I'd like to invite the mailing list members to consider submitting a letter of inquiry to our first official journalistic dalliance with computational communication. As part of ICWSM-24, we will have a special issue in the Journal of Quantitative Description and are soliciting submissions under the following timeline: LOIs Due: May 15, 2023 Accepted LOIs invited to submit full papers: June 8, 2023 Full papers due: September 15, 2023 Reject or Revise & Resubmit decisions mailed to full paper authors: November 15, 2023 R&R Submission Deadline: January 15, 2024 Accept or Reject decisions for R&Rs: March 15, 2024 More details are at https://icwsm.org/2023/index.html/call_for_submissions.html LOIs and questions should be sent to the Special Section Editors at jqdicwsmsi(a)gmail.com, their info is at the bottom of this email. Thank you so much! Through this endeavor we look forward to seeing more of you at ICWSM-24 in Buffalo! :) Warmly Kokil on behalf of the Special Issue editors: Dr. Jason Jeffrey Jones, Associate Professor, Department of Sociology and Institute for Advanced Computation Science, Stony Brook University Dr. Sarah Shugars, Assistant Professor, Department of Communication, Rutgers University Dr. Yini Zhang, Assistant Professor, Department of Communication, University at Buffalo **Disclaimer** The sender of this email does not represent Nanyang Technological University and this email does not express the views or opinions of the University.

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