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Funded PhD position on Deep Learning for Neuroimaging to Speech Decoding @ HiTZ center
by HiTZ zentroa 31 Mar '23

31 Mar '23

**** We apologize for the multiple copies of this email **** Funded PhD position on Deep Learning for Neuroimaging to Speech Decoding @ HiTZ center (Spain) INFORMATION ABOUT THE POSITION * Position: PhD student * Researcher Profile: o First Stage Researcher (R1- up to the point of PhD) The candidate should have a BSc degree related to computer science and a MSc. including deep learning or machine learning subjects. Outstanding curriculum vitae, good programming abilities, strong motivation, team working skills, and fluent spoken and written English will be highly appreciated. * Project: #neural2speech Deep Learning for neuroimaging to speech decoding * Location: Spain > Donostia or Bilbao (free choice) * Research Field: Multimodal Deep Learning * Type of contract/Duration of Contract: 3 years * Job Status: Full-time * Hours per week: 35 * Gross salary: 17,221€ (1st year), 17,823€ (2nd year), 19,765€ (3rd year) * Starting date: June 2023 (hard date) HiTZ zentroa - IXA Taldea is offering a 3-year funded PhD opportunity. The position is linked to the IKUR #neural2speech project: the PhD student will work on research projects with IXA Taldea (HiTZ center - University of the Basque Country) in collaboration with two research groups Aholab (HiTZ center - University of the Basque Country) and The Basque Center on Cognition Brain and Language (BCBL). * HiTZ - https://www.hitz.eus/ <https://www.hitz.eus/> o Ixa Taldea - http://ixa.ehu.eus/ <http://ixa.ehu.eus/> o Aholab - https://aholab.ehu.eus/aholab/ <https://aholab.ehu.eus/aholab/> * BCBL - https://www.bcbl.eu/en <https://www.bcbl.eu/en> Goal:Can speech be decoded from neural brain activity? Addressing this issue is critical for restoring communication among people that have lost their ability to speak due to some speech motor disorders (e.g., aphasia). The goal of #neural2speechis to build a multimodal contrastive model trained on both neuroimaging input (fMRI and MEG) and speech output. The multimodal contrastive model that we propose is based on the neural transformer architecture. Job description:The project will be highly collaborative across the three laboratories involved, including common activities and coordinated research agendas. The selected candidate will develop the core model of the project, the multimodal Transformer model, and disseminate the results in scientific conferences (presentations/posters) and peer-reviewed journals. She/he will take advantage of the computation facilities at HiTZ. The selected candidate will also have the opportunity to develop original experiments under the supervision and guidance of the PIs. PI and research group:candidate will form part of HiTZ research center led by Eneko Agirre (e.agirre(a)ehu.eus) and Ander Barrena (ander.barrena(a)ehu.eus), who will also be the main supervisors. Contact: ander.barrena(a)ehu.eus *HiTZ **Basque Center for Language Technology* is a reference center on Language Technologies. Its aim is to promote research, training, technological transfer and innovation in Artificial Intelligence focused on language and speech. We are a multidisciplinary team composed of people with backgrounds in computer science, linguistics and engineering. HiTZ is made up of the research groups Ixa and Aholab, both from the University of the Basque Country (UPV/EHU). These groups are —since their creation in 1988 and 1995 respectively— the main driving forces in the area of Language Technologies in the Basque Country. HiTZ is a leader in research in Spain, and holds a National Research Award in Computer Science and one of the 15 fellows that the main research association in the area (Association for Computational Linguistics) has in Europe, as well as the best PhD thesis award in Artificial Intelligence in Europe (EurAI 2020). HiTZ is also a member of Erasmus Mundus+ European Masters Program in Language and Communication Technologies (LCT) program <https://www.ehu.eus/en/web/master/master-language-communication-technologies>. The University of the Basque Country (UPV/EHU) (www.ehu.eus) is the leading teaching and research institution in the Basque Country, a prosperous region stretching along the Atlantic coast of northern Spain. The UPV/EHU is among the *best 400 universities in the world* according to the Shanghai ranking, and has been recognized as an International Excellence Campus by the Spanish Government. The University of the Basque Country, a vibrant 30-year-old institution with 45,000 students, 5,000 world-class academic staff and state-of-the-art facilities distributed throughout 20 centers in its three campuses. **

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internet usage statistics: types of data types being transferred ...
by Albretch Mueller 31 Mar '23

31 Mar '23

I wonder if the same happens to you. Finding anything relating to corpora research on the Internet is virtually impossible to me. If you try to find an estimate of the data (mime) types being transferred over the Internet (text: html, pdf; video: mp4 ...) all you get is ads of companies trying to get your money, sell you "solutions" ... I think those kinds of statistics at least, approximate figures, should be somewhere. If not the data transfers per se, the links on pages. Do you have an idea about where to find such data? lbrtchx

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Postdoc position in Generative AI & Large Language Models (Switzerland)
by André Freitas 31 Mar '23

31 Mar '23

The Neuro-symbolic AI Group at Idiap invites applications for a postdoctoral position in the area of Generative AI and Large Language Models (LLMs). This is an exciting opportunity to work at the interface between LLMs and causal learning. Working in close collaboration with the Machine Learning Group at Idiap and the Social Intelligence startup/scale-up Bloom, this position will focus on advancing the state-of-the-art on methods to improve the adaptability, generalisation and training efficiency of LLMs. These methods directly dialogue with the construction of models which have better controlled consistency properties, with a direct line-of-sight towards model safety and improved inference. Appointment for the position is for 24 months (with the perspective of renewal depending on funding availability). Starting date is as soon as possible. Formal applications are to be made at: https://careers.werecruit.io/en/idiap/offres/postdoc-position-in-generative… Sought profile Essential: * hold a Ph.D. degree in computer science or related areas (or close to completion) * have a background in natural language processing or machine learning, evidenced by high-quality publications * previous project experience in developing complex deep learning based models (e.g. in NLP or Computer Vision) * solid English communication (scientific writing and speaking) * confident in Python programming Optional: * Pytorch experience * previous work in generative models will be considered a plus. About Idiap Idiap is an independent, not-for-profit, research institute accredited and funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. Idiap offers competitive salaries and working conditions at all levels in a dynamic, multicultural environment. Idiap is an equal opportunity employer. We specifically encourage women and minorities to apply. Idiap is located in the town of Martigny in Valais, Switzerland, offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language. For frequently asked questions (FAQs) about living in Switzerland, please go to https://www.idiap.ch/en/faq

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Workshop: Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad 30 Mar '23

30 Mar '23

Second call for papers The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 Website of the workshop: https://contents2023.kulak.kuleuven.be/ In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" 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 workshop e-proceedings together with RANLP 2023 short papers and posters 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 three programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START syetem: https://softconf.com/ranlp23/ConTeNTS 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) - 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) - 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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PhD or Postdoc in NLP & Cognitive Modeling
by Michael Hahn 30 Mar '23

30 Mar '23

Dear colleagues, we have an opening for a *fully funded **PhD student or postdoc* position in*NLP & Cognitive Modeling* at Saarland University, Germany. The position is affiliated with the Collaborative Research Center (CRC) 1102, a thriving research environment with 38 PhD students and 9 postdocs investigating language from a variety of computational and cognitive angles. The successful applicant will be supervised by Prof. Michael Hahn, and have the opportunity to collaborateclosely with other researchers at the CRC and at Saarland University. The successful applicant is expected to have a strong background in natural language processing using neural networks, and a strong interest in language or cognition. Some publications representing Prof. Hahn's research interests: M. Hahn, R. Futrell, R. Levy, E. Gibson. A resource-rational model of human processing of recursive linguistic structure <https://doi.org/10.1073/pnas.2122602119>. PNAS, 2022. M. Hahn, F. Keller. Modeling task effects in human reading with neural network-based attention <https://arxiv.org/abs/1808.00054>. Cognition, 2023. M. Hahn. Theoretical limitations of self-attention in neural sequence models. <https://doi.org/10.1162/tacl_a_00306> TACL, 2020. You can learn more about our research athttps://www.mhahn.info and https://sfb1102.uni-saarland.de/ . DETAILS The appointment is for 36 months (PhD student) or 24 months (postdoc). Pay grade is E13 TV-L, volume of employment:75% or 100%of standard working time. For full details, please refer to the job advertisement: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… QUALIFICATION The successful applicant is expected to have: •an excellent academic track record •a strong background in natural language processing using neural networks •excellent programming skills and quantitative skills •a strong interest in language or cognition •full professional proficiency in spoken and written English HOW TO APPLY Please send a PDF file with: (a) your CV (with a list of any publications), (b) contact information of two references, (c) a cover letter (1-2 pages) that describes your research interests, (d) copies of transcripts and academic degree certificates to mhahn(a)lst.uni-saarland.de by 14.04.2023. Please include the reference numberW2275in the subject line of the e-mail. If you have anyquestions, please contact Michael Hahnat mhahn(a)lst.uni-saarland.de

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DMR 2023 - Call for papers EXTENDED TO APRIL 10, 2023
by kristine.stenzel＠colorado.edu 30 Mar '23

30 Mar '23

**apologies for cross-postings** Call for papers DMR 2023: The Fourth International Workshop on Designing Meaning Representation workshop site: dmr2023.github.io Co-located with IWCS 2023 the 15th International Conference on Computational Semantics, 20-23th June 2023, Université de Lorraine, Nancy, France. IWCS site: https://iwcs2023.loria.fr/ While deep learning methods have led to many breakthroughs in practical natural language applications, most notably in Machine Translation, Machine Reading, Question Answering, Recognizing Textual Entailment, and so on, there is still a sense among many NLP researchers that we have a long way to go before we can develop systems that can actually “understand” human language and explain the decisions they make. Indeed, “understanding” natural language entails many different human-like capabilities, and they include but are not limited to the ability to track entities in a text, understand the relations between these entities, track events and their participants described in a text, understand how events unfold in time, and distinguish events that have actually happened from events that are planned or intended, are uncertain, or did not happen at all. We believe a critical step in achieving natural language understanding is to design meaning representations for text that have the necessary meaning “ingredients” that help us achieve these capabilities. Such meaning representations can also potentially be used to evaluate the compositional generalization capacity of deep learning models. There has been a growing body of research devoted to the design, annotation, and parsing of meaning representations in recent years. The meaning representations that have been used for semantic parsing research are developed with different linguistic perspectives and practical goals in mind and have different formal properties. Formal meaning representation frameworks such as Minimal Recursion Semantics (MRS) and Discourse Representation Theory (as exemplified in the Parallel Meaning Bank) are developed with the goal of supporting logical inference in reasoning-based AI systems and are therefore easily translatable into first-order logic, requiring proper representation of semantic components such as quantification, negation, tense, and modality. Other meaning representation frameworks such as Abstract Meaning Representation (AMR), Tecto-grammatical Representation (TR) in Prague Dependency Treebanks and the Universal Conceptual Cognitive Annotation (UCCA), put more emphasis on the representation of core predicate-argument structure, lexical semantic information such as semantic roles and word senses, or named entities and relations. There is also a more recent effort in developing a Uniform Meaning Representation (UMR) that is based on AMR but extends it to cross-linguistic settings and enhances it to represent document-level semantic content. The automatic parsing of natural language text into these meaning representations and the generation of natural language text from these meaning representations are also very active areas of research, and a wide range of technical approaches and learning methods have been applied to these problems. This workshop will bring together researchers who are producers and consumers of meaning representations, and through their interaction develop a deeper understanding of the key elements of meaning representations that are the most valuable to the NLP community. The workshop will also provide an opportunity for meaning representation researchers to critically examine existing frameworks with the goal of using their findings to inform the design of next-generation meaning representations. A third goal of the workshop is to explore opportunities and identify challenges in the design and use of meaning representations in multilingual settings. A final goal of the workshop is to understand the relationship between distributed meaning representations trained on large data sets using network models, and the symbolic meaning representations that are carefully designed and annotated by NLP researchers and gain a deeper understanding of areas where each type of meaning representation is the most effective. The workshop solicits papers that address one or more of the following topics: • Design and annotation of meaning representations; • Cross-framework comparison of meaning representations; • Challenges and techniques in automatic parsing of meaning representations; • Challenges and techniques in automatically generating text from meaning representations; • Meaning representation evaluation metrics; • Lexical resources, ontologies, and grounding in relation to meaning representations; • Real-world applications of meaning representations; • Issues in applying meaning representations to multilingual settings and lower-resourced languages; • The relationship between symbolic meaning representations and distributed semantic representations; • Formal properties of meaning representations; • Any other topics that address the design, processing, and use of meaning representations. === SUBMISSION INFORMATION === Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings on the ACL Anthology. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Submission is electronic, using the Softconf START conference management system. Link to the DMR submission site: https://softconf.com/iwcs2023/dmr2023/ Submissions must adhere to the two-column format of ACL venues. Please use our specific style-files or the Overleaf template taken from ACL 2021: https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-proceed… Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. If a paper is accepted, it will be given an additional page to address reviewers’ comments in the final version. References and appendices do not count against these limits. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal any author’s identity–e.g., “We previously showed (Smith, 1991) …” should be replaced with citations such as “Smith (1991) previously showed …”. Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop organizers dmr2023-chairs(a)googlegroups.com. Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. ** DMR 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. === IMPORTANT DATES === Submissions due April 3, 2023 - EXTENDED TO APRIL 10, 2023 Notification of acceptance May 1, 2023 Camera-ready deadline June 1, 2023 Workshop date June 20, 2023 IWCS conference June 20-23, 2023

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2nd CfP: CMC-Corpora 2023, Mannheim 14+15 September
by cotgrove＠ids-mannheim.de 30 Mar '23

30 Mar '23

2nd Call for Papers *International Conference on CMC and Social Media Corpora for the Humanities* 14–15th September 2023, University of Mannheim, Germany The 10th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the University of Mannheim, Germany in collaboration with the Leibniz Institute for the German Language (IDS). Specialized corpora of the language of CMC and social media are increasingly vital for the analysis of the “unparalleled and rapidly evolving diversity in terms of speakers and settings” in digital contexts, as well as of “language evolution seen through the lens of user-generated content, which gives access to a number of variants, socio- and idiolects” (Barbaresi 2019: 29-30). The conference brings together language-centered research on CMC and social media in linguistics, philologies, communication sciences, media, and social sciences with research questions from the fields of corpus and computational linguistics, language technology, text technology, and machine learning. It features research in which computational methods and tools are used for language-centered empirical analysis of CMC and social media phenomena as well as research on building, processing, annotating, representing, and exploiting CMC and social media corpora, including their integration in digital research infrastructures. We adhere to a wide definition of CMC and Social Media, covering various media of digital communication, including email, newsgroups, forums, chat and messenger applications (e.g. WhatsApp), social networks (Facebook, Instagram), gaming platforms, as well as interactions in the communication areas of video portals (YouTube), learning platforms, gaming apps, online games and virtual worlds. We invite submissions on CMC-related topics, including but not limited to: * Development of CMC corpora / social media corpora * Building CMC corpora: from data collection to publication * Open access data for CMC research: ethical and GDPR issues * Annotating CMC data: genres, linguistic aspects, metadata * Multimodal corpora * Big data corpora * Legal issues concerning the sampling, distribution and (long-term) archiving of social media data * Analysis of CMC corpora / social media corpora * Sociolinguistic studies of CMC * Discourse analysis of CMC * Linguistic characteristics of CMC * Multimodal (incl. visual) aspects of CMC * Multilingualism and code-switching in CMC * CMC in language education * Natural language processing (NLP) of CMC data / social media data * Normalization * PoS tagging * Anonymisation and Pseudonymisation * Lemmatization * Syntactic parsing * Semantic Annotation =========================== *Confirmed keynote speaker* =========================== Tatjana Scheffler, Ruhr-Universität Bochum ================= *Important Dates* ================= * Abstract submission: 30 April, 23:59 CEST * Notification of acceptance: Friday, 30 June 2023, 23:59 CEST * Deadline revised abstract submission: Sunday, 6 August 2023, 23:59 CEST * Deadline registration for participation: Sunday, 20 August 2023, 23:59 CEST * Arrival, Get-together: Wednesday, 13 September 2023 * Conference: Thursday 14 - Friday 15 September 2023 ============ *Submission* ============ We invite submissions for talks and for posters or software/corpus demonstrations on any topic relevant to the list of themes mentioned above. We invite two types of submissions: * short papers (2-4 pages, following the existing template, i.e between 800 and 1600 words) for oral presentations * abstracts (max. 300 words) for poster presentations Each paper and abstract will be double blind peer reviewed by two or three members of the scientific committee. Authors of accepted papers can present their work at the conference (30 minute time slots: 20 minute talks, followed by 10 minutes of discussion). Authors of accepted abstracts can present their work in progress, early-stage research, software/corpus demonstrations during the poster session. At the start of the conference, all accepted papers will be made available in online proceedings. After the conference, speakers with the best short papers will be invited to submit extended papers for a special issue journal or a volume publication. *Instructions for authors* All submissions have to be written in English and have to be anonymised. The short papers for oral presentations should not exceed 4 pages and the paper format should adhere to the template which you can download from the links below. The abstracts for poster presentations should not exceed 300 words, bibliographical references not included. All contributions will be collected through the online platform EasyChair under the link https://easychair.org/conferences/?conf=cmc2023). (If you do not have an EasyChair account, you need to create one first.) Template for MSWord (40 kB): https://www.uni-mannheim.de/media/Lehrstuehle/phil/deutsche_philologie/LS_G… Template for LaTeX (260 kB): https://www.uni-mannheim.de/media/Lehrstuehle/phil/deutsche_philologie/LS_G… For all enquiries, please contact the organizers at cmc-corpora2023(a)uni-mannheim.de We look forward to seeing you there! The organizing committee: Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt Conference website: https://www.uni-mannheim.de/cmc-corpora2023/ ====================== *Scientific Committee* ====================== (confirmed so far): * Paul Baker (Lancaster University) * Adrien Barbaresi (Berlin-Brandenburgische Akademie der Wissenschaften) * Michael Beißwenger (University of Duisburg-Essen) * Mario Cal-Varela (Universidade de Santiago de Compostela) * Steven Coats (University of Oulu) * Luna DeBruyne (Ghent University) * Orphée DeClercq (Ghent University) * Francisco-Javier Fernández-Polo (University of Santiago de Compostela) * Jenny Frey (European Academy of Bozen) * Alexandra Georgakopoulou-Nunes (King's College London) * Klaus Geyer (University of Southern Denmark) * Aivars Glaznieks (Eurac Research Bolzano) * Claire Hardaker (Lancaster University) * Iris Hendrickx (Radboud University Nijmegen) * Axel Herold (Berlin-Brandenburgische Akademie der Wissenschaften) * Lisa Hilte (University of Antwerp) * Mai Hodac (Université Toulouse) * Wolfgang Imo (University of Hamburg) * Pawel Kamocki (IDS Mannheim) * Erik-Tjong Kim-Sang (Netherlands eScience Center) * Alexander Koenig (CLARIN ERIC) * Florian Kunneman (Vrije Universiteit Amsterdam) * Marc Kupietz (IDS Mannheim) * Els Lefever (Ghent University) * Julien Longhi (Cergy Paris Université) * Maja Miličević-Petrović (University of Bologna) * Nelleke Oostdijk (Radboud University) * Celine Poudat (Université Côte d'Azur) * Thomas Proisl (Friedrich-Alexander-Universität Erlangen-Nürnberg) * Ines Rehbein (University of Mannheim) * Sebastian Reimann (Ruhr-Universität Bochum) * Unn Røyneland (University of Oslo) * Müge Satar (Newcastle University) * Tatjana Scheffler (Ruhr-Universität Bochum) * Stefania Spina (Università per Stranieri di Perugia) * Egon Stemle (Eurac Research) * Caroline Tagg (The Open University) * Simone Ueberwasser (University of Zurich) * Lieke Verheijen (Radboud University)

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FIVE 3-year Senior AI Research Engineer / AI Research Engineer positions at the University of Sheffield
by Carol Scarton 30 Mar '23

30 Mar '23

Dear all, Our newly created Centre for Machine Intelligence at the University of Sheffield is recruiting 5 3-year (Senior) AI Research Engineers (see details below). Kind regards Carol FIVE 3-year Senior AI Research Engineer / AI Research Engineer positions <https://www.jobs.ac.uk/job/CYI206/senior-ai-research-engineer-ai-research-e…> at the University of Sheffield for those with a passion for AI/machine learning research AND software development. We are creating a new AI Research Engineering team by recruiting two Senior AI Research Engineers and three AI Research Engineers. This team is part of the University’s multi-million-pound investment to establish the new Centre for Machine Intelligence. Professor Haiping Lu, Professor of Machine Learning, Department of Computer Science, will lead this team. *Deadline for application: *24th April 2023. Further details are available via the application link: https://www.jobs.ac.uk/job/CYI206/senior-ai-research-engineer-ai-research-e… We welcome all to register for a hybrid information session, including an introduction and Q&A from 13:30 to 14:30 (UK time) on 31st March 2023 via https://forms.gle/MocZaFiyvay4gnLB6 -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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IACT’23: Human or AI? Calling for research papers on implicit authorship disambiguation in IR: a SIGIR'23 workshop
by Marina Litvak 30 Mar '23

30 Mar '23

*IACT’23: Human or AI? Calling for research papers on implicit authorship disambiguation in IR * *Call for Papers: The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) * The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval Workshop website: https://en.sce.ac.il/news/iact23 July 27, 2023. Taipei, Taiwan. Paper submission deadline: April 25, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - *Full research papers*: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - *Short research* *papers*: up to 5 pages. It can describe ongoing research, resources, and demos. - *Negative results* *papers*: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - *Position papers*: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: - Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal - Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal - Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: - Prof. Mark Last - Ben-Gurion University of the Negev, Israel - Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany IACT’23 proceedings will be published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they do not conflict with previous publication rights. Contact: - Dr. Marina Litvak: litvak.marina(a)gmail.com - Dr. Irina Rabaev: irinar(a)ac.sce.ac.il -- Best regards, Marina Litvak

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CfP: 1st workshop on Ancient Language Processing (at RANLP-2023)
by Passarotti Marco Carlo (marco.passarotti) 30 Mar '23

30 Mar '23

**1st ALP Workshop will be co-located with RANLP 2023 at Varna, Bulgaria** Date: September 7, 2023 Website: https://www.ancientnlp.com/alp2023/ Ancient languages contain rich human historical and cultural wealth. So far there has been some good advancement in applying language technologies to ancient languages such as Sumerian, Akkadian, Latin, Ancient Greek and Ancient Chinese, especially in the construction of digital language resources and resources to facilitate automatic analysis. The workshop on Ancient Language Processing aims to focus specifically on ancient languages and scripts from the emergence of writing in Mesopotamia and Egypt c. 3000 BCE to the entire world up till 800 AD. We wish to provide a recognized forum to further advance this subfield of NLP, where researchers and practitioners can meet and discuss their latest work, and exchange ideas in addressing shared epigraphical challenges in language processing across various ancient languages, such as non-Latin and non-alphabetic scripts, Right-to-Left, transliteration conventions and fragmentary texts. In addition, we propose shared tasks on Machine Translation for Ancient Chinese and Akkadian, respectively, to provide an opportunity to address the unique challenges faced by ancient language machine translation. Languages of interest include, but are not limited to: - Mesopotamia: Sumerian, Akkadian - Iran: Elamite, old and middle Persian - Levant: Eblaite, Amorite, Aramaic (incl. Mandaic and Syriac), Ancient Hebrew, Phynician, Ugaritic - Anatolia: Hittite, Luwian and minor Anatolian languages - Egypt: Ancient Egyptian, Coptic - Mediterranean: Linear A and B, Ancient Greek, Latin - Arabia: Ancient North Arabian, old Arabic - India: Sanskrit, Eastern Panjabi, Pali - China: Literary Chinese, Tibetan - Mesoamerica: Mayan - Japan: Old Japanese Papers and contributions are encouraged for any work related to Natural Language Processing of Ancient Languages. Topics of interest include, but are not limited to: - Charset (Unicode) - Input method (transliteration and transcription) - Tokenization (word segmentation) - Morphological analysis (both inflectional and derivational) - Philological issues in NLP - Linguistic Linked Data supporting NLP - Syntactic analysis - Semantic analysis - Machine translation - Pre-trained models - Deep learning based NLP - Multi-lingual comparison for NLP purposes - Data mining - Knowledge extraction - Language varieties and dialects - NLP issues in the analysis of broken texts and uncertain readings - Minimal computing in NLP We welcome two types of submissions: Long Papers that describe original and unpublished work in any topic area of the workshop. Long papers are limited to 8 pages for content, with 2 additional pages for references. Short Papers that describe either work in progress or a research proposal. They may also be in the style of a position paper that surveys and criticizes existing literature. Short papers must include clear directions for future research. Submissions of this type are limited to 4 pages for content, with 2 additional pages for references. Please also note the following: The papers accepted will be included in the ACL Anthology. Paper submissions must use the official ACL style templates, which are available from here (Latex and Word): https://github.com/acl-org/acl-style-files. Please submit your papers in PDF format. The review will be double-blind. Please do not include any self-identifying information in the submission. This includes anonymizing the already-published work by removing acknowledgments, self-citations, etc. **Important dates** - Paper submission due: July 3, 2023 - Notification of acceptance: August 5, 2023 - Camera-ready paper due: August 25, 2023 - Workshop date: September 7, 2023 All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). **Submission** Submission can be made through this: https://softconf.com/ranlp23/ALP/ Contact - Direct your workshop related inquiries to: ancientnlp(a)gmail.com<mailto:ancientnlp@gmail.com> - Direct your general (including registration related) inquiries to: 2023(a)ranlp.org<mailto:2023@ranlp.org> Organizing Committee - Adam Anderson, UC Berkeley, USA - Shai Gordin, Ariel University, Israel - Bin Li, Nanjing Normal University, China - Yudong Liu, Western Washington University, USA - Marco C. Passarotti, Università Cattolica del Sacro Cuore, Italy Program Committee Tero Alstola, University of Helsinki, Finland Masayuki Asahara, National Institute for Japanese Language and Linguistics, Japan Jonathan Berant, Tel Aviv University, Israel Monica Berti, Leipzig University, Germany Patrick Burns, New York University, USA Christian Chiarchos, Goethe University Frankfurt, Germany Gregory Crane, Tufts University, USA Sanhong Deng,Nanjing University, China Minxuan Feng, Nanjing Normal University, China Ethan Fetaya, Bar-Ilan University, Israel Toon Van Hal, University of Leuven, Belgium Renfen Hu, Beijing Normal University, China Heidi Jauhiainen, University of Helsinki, Finland Kyle P. Johnson, Berlin-Brandenburg Academy of Sciences, Germany Orly Lewis, Hebrew University of Jerusalem, Israel Johann-Mattis List, Max Planck Institute for Evolutionary Anthropology, Germany Chao-Lin Liu, National Chengchi University, Taiwan Congjun Long, Chinese Academy of Social Sciences, China Francesco Mambrini, Università Cattolica del Sacro Cuore, Milan, Italy Hubert Mara, MLU Halle, Germany Martijn Naaijer, University of Copenhagen, Denmark Christian M. Prager, University of Bonn, Germany Avital Romach, Yale, USA Luis Sáenz, Ariel University/Heidelberg University, Israel/Germany Si Shen, Nanjing University of Science and Technology, China Xiaodong Shi, Xiamen University, China Qi Su, Peking University, China Thea Sommerschield, Ca’ Foscari University of Venice, Italy Rachele Sprugnoli, Università degli Studi di Parma, Italy Gabriel Stanovsky, Hebrew University of Jerusalem, Israel Niek Veldhuis, University of California, Berkeley, USA Dongbo Wang, Nanjing Agricultural University, China Prof. Marco C. Passarotti Computational Linguistics Index Thomisticus Treebank https://itreebank.marginalia.it/ ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994) CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html [cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan] Università Cattolica del Sacro Cuore Largo Gemelli, 1 20123 Milan, Italy marco.passarotti(a)unicatt.it<mailto:marco.passarotti@unicatt.it> tel. +39-02-72342380 [http://static.unicatt.it/ext-portale/5xmille%20firma%20mail%202022.jpg]

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2024

2023

2022