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PhD Scholarship on Deep learning for Sign Language translation @ADAPT Centre, Ireland
by Mohammed Hasanuzzaman 30 Jan '23

30 Jan '23

We are seeking highly motivated and talented individuals to join our research team as PhD candidates. This is a full-time, fully-funded position that offers the opportunity to *make novel contributions at the interface between computer vision and neural machine translation with the primary goal of addressing automatic recognition and translation of Sign Language to spoken language**.* The successful candidate will be hosted at ADAPT *Centre (* <Centre@MTU>https://www.adaptcentre.ie/*)@* <Centre@MTU> https://www.mtu.ie/*)*, Ireland and closely work with a team of mentors. *Deadline of Application: **February 22, 2023*, with a starting date of as early as possible (preferably in March, 2023) *Why ADAPT Centre?* - Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance. - Work with our interdisciplinary team of leading experts from the complementary fields of, Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability. - Leverage our success. ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards. ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained. As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer: 1. Opportunity to build your profile at international conferences and global events. 2. A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists. 3. A Fully funded, 4 year PhD postgraduate studentship which includes a tax-free stipend of approx. €18,500 per year for up to four years including EU tuition fees, research and equipment costs and all costs associated with training related covered. *Minimum qualifications* - Minimum 2.1 honours undergraduate degree in either Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills. - Expertise/interest in Deep Learning/Natural Language Processing/Data Mining - Previous scientific publication experience preferred. - Excellent written and verbal communication and interpersonal skills *Application Process* Interested candidates can send an application with the following documents directly to Mohammed Hasanuzzaman (*mohammed.hasanuzzaman@* <mohammed.hasanuzzaman(a)adaptcentre.ie>adaptcentre.ie) 1. Detailed curriculum vitae, including – if applicable – relevant publications; 2. Transcripts of degrees, 3. The name and email contacts of two academic referees, 4. A cover letter/letter of introduction (max 2000 words). In the letter, applicants should include the following details: 1. An explanation of your interest in the research to be conducted and why you believe they are suitable for the position. 2. Details of your final year undergraduate project (if applicable) 3. Details of your MSc project (if applicable) 4. Details of any relevant modules previously taken, at undergraduate and/or Master level. 5. Details of any relevant work experience (if applicable). *Diversity* ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT. *About the ADAPT Centre* ADAPT is the world-leading SFI research centre for AI Driven Digital Content Technology hosted by Trinity College Dublin. ADAPT’s partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway. ADAPT's research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content. *Our Research Vision* Governments and civil society are starting to recognise the need for urgent and concerted action to address the societal impact of the accelerating pace of digital content technologies and the AI techniques that underpin them. ADAPT provides an ambitious, ground-breaking, integrated research programme that assembles three interlocking Strands that together are capable of addressing this challenge. Each of these complementary and reinforcing research Strands takes one of the different perspectives on the provision of personalised, immersive, multimodal digital engagement, i.e. the individual’s experience and control of the engagement, the algorithms underlying digital content processing, and the balanced governance by enterprise and societal stakeholders. ------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 30/01/23, 21:19:46

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CfP AI-HuSo23: 1st International Workshop on AI in Digital Humanities, Computational Social Sciences and Economics Research
by binnewij＠smail.uni-koeln.de 30 Jan '23

30 Jan '23

1st International Workshop on AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo’23) Warsaw, Poland, 17–20 September, 2023 https://fedcsis.org/sessions/itbs/ai-huso ----------------------------------------- This workshop is dedicated to the computational study of Social Sciences, Economics and Humanities, including all subjects like, for example, education, labour market, history, religious studies, theology, cultural heritage, and informative predictions for decision-making and behavioral-science perspectives. While digital methods and AI have been emerging topics in these fields for several decades, this workshop is not only limited to discoveries in these domains, but also dedicated to the reflections of these methods and results within the field of computer science. Thus, we are in particular interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods. Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, we see this workshop as place for interdisciplinary learning, discussing a joint toolbox as a support for scholars from these field with human and context-aware agents. This workshop also comprises a symposium on research towards a trustworthy data infrastructure housing both quantitative and qualitative data. The aim of this workshop is thus to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields. Topics - The list of topics includes, but is not limited to: - AI approaches for the interdisciplinary work of the social sciences, economics, and humanities: report on theoretical, methodological, experimental, and applied research. - AI for linking data from different digital resources, including online social networks, web and data mining, Knowledge Graphs, Ontologies. - AI methods for text mining and textual analysis, for example texts within social sciences, digital literary studies, computational stylistics and stylometry. - Text encoding, computational linguistics, annotation guidelines, OCR for humanities, economics, and social sciences. - Network analysis, including social and historical network analysis. The applications of interest are included in the list below, but are not limited to: - Labour market research and qualification, including behavioral-science perspectives. - Education: Digital methods and systems, e-learning, adult education, etc. - Contributions to the application of technology to culture, history, and societal issues: For example, computational text analysis, analytical and visualization, databases, etc. - In particular, we welcome submissions which focus on a critical reflection of digital methods in the humanities, economics and social sciences within computer science. - Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection. Submission rules - Authors should submit their papers as Postscript, PDF or MSWord files. - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be submitted for indexation according to information here. - Organizers reserve right to move accepted papers between FedCSIS technical sessions.

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OFAI 2023 Winter/Spring Lecture Series
by Tristan Miller 30 Jan '23

30 Jan '23

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2023 Winter/Spring Lecture Series. The talks are intended to familiarize attendees with the latest research developments in AI and related fields (particularly computational linguistics and natural language processing), and to forge new connections with those working in other areas. Lectures will take place on Wednesdays at 18:30 Vienna time. All lectures will be held online via Zoom; in-person attendance at OFAI is also possible for certain lectures. Attendance is open to the public and free of charge. No advance registration is required. For details on how to attend the individual talks, sign up to our mailing list at <https://www.ofai.at/newsletter.html> or check the Lecture Series web page at <https://www.ofai.at/lectures>. Schedule: 18 January 2023 at 18:30 CET (UTC+1) Martin Trapp (Aalto University) Leveraging Connections Between Deep Architectures and Bayesian Nonparametrics 1 February 2023 at 18:30 CET (UTC+1) Winfried Lechner (University of Athens) Natural Language Semantics and Music 15 February 2023 at 18:30 CET (UTC+1) Benjamin Mako Hill (University of Washington) Balancing Open Participation and Information Quality in Wikipedia Using Machine Learning 1 March 2023 at 18:30 CET (UTC+1) Michael Pucher (OFAI) Synthesizing Dialects, Faces, Singing Voices, Songbirds, and Famous Dead Actors 15 March 2023 at 18:30 CET (UTC+1) Niels Taatgen (University of Groningen) The Skill-based Method of Modeling Human Intelligent Behavior 29 March 2023 at 18:30 CEST (UTC+2) Stacy Marsella (Northeastern University and University of Glasgow) Engineering the Impact of Emotion on Human Behavior 12 April 2023 at 18:30 CEST (UTC+2) Christoph Scheepers (University of Glasgow) The "Crossword Effect" in Free Word Recall: A Retrieval Advantage for Words Encoded in Line with their Spatial Associations 26 April 2023 at 18:30 CEST (UTC+2) Paolo Petta (OFAI) (Talk title to be announced) 10 May 2023 at 18:30 CEST (UTC+2) Hannes Fellner (University of Vienna) Digital Advances on the Ancient Silk Road -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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CFP - TheWebConf 2023 workshop on Online Social Networks in the Human-centric Metaverse
by Arkaitz Zubiaga 30 Jan '23

30 Jan '23

******************************************************************** CALL FOR PAPERS ACM OSNeHM 2023 First International workshop on Online Social Networks in the Human-centric Metaverse co-located with The Web Conference 2023 Austin, Texas, USA APRIL 30 - MAY 4, 2023 https://osnehm.iit.cnr.it/ ******************************************************************** NEXT DEADLINES - abstract submission extended (all deadlines are AoE) ******************************************************************** 6th February 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline ******************************************************************** SUBMISSION LINK ******************************************************************** https://easychair.org/conferences/?conf=thewebconf2023iwpd ******************************************************************** SCOPE AND OVERVIEW __________________ The cyber and physical worlds are increasingly becoming indistinguishable. This is fostered by enabling technologies such as IoT and pervasive networks, advanced data management and analytics techniques, and advanced platforms with massive diffusion, chiefly among them Online Social Networks. Whatever we do in one world has immediate consequences on the other world, thanks to a constant flow of data - and online analytics - between the two worlds. In this context, the vision of the Metaverse provides additional perspectives, augmenting human interactions with things and other humans across the two worlds. The role of the humans in this socio-technical complex system is key, and still largely unexplored. Quite interestingly, while new tools characteristic of the cyber-physical world- OSN among them - have been designed to largely extend human capabilities, the real interplay between these tools and human behaviours and cognitive constraints often result in unexpected results. Therefore, while humans are in principle at the center of the cyber-physical convergence and, thus -- in the perspective -- of the Metaverse, the interplay between both worlds and the technical solutions underpinning this convergence are hitherto largely unexplored and yet to be understood. This is a big gap our community should fill in, in order to develop cyber-physical worlds (and the Metaverse) as a truly human-centric environment. OSNeHM’s main theme will be the role of Online Social Networks in such a human-centric cyber-physical convergence leading to the Metaverse. It will provide a forum for discussion on early yet principled approaches and results on all aspects related to this theme. A special emphasis will be devoted to the characterisation of the individual and social behaviour of humans, using OSN as “big data microscopes” for collecting and analysing big data via robust big data analytics. Papers discussing solutions focusing on the interplay between social and technical (online and offline) worlds will be high welcome. On the other hand, the workshop will welcome papers proposing novel technical solutions to support human-centric approaches to the evolution of OSN in the perspective of the Metaverse. Specific topics of interest include, but are not limited to, the following: * OSNeHM platforms, protocols and applications; * OSN and Metaverse services & applications; * Decentralised, mobile and location-based OSNeHM; * Trust, reputation, privacy and security in OSNeHM; * Dynamics of trends, information and opinion diffusion in OSNeHM; * Fake news, toxicity radicalization and disinformation in OSNeHM; * Detecting, modeling and tackling Online harms in OSNeHM; * Recommendations and advertising in OSNeHM; * Measurement, analysis and modeling of popular OSN (Facebook, Twitter, Instagram, Flickr, etc.), including decentralized ones (e.g., Mastodon, Pleroma, ...); * Data mining, and machine learning in OSNeHM systems; * Social media analysis and social analytics in the perspective of OSNeHM; * Information extraction and search in OSNeHM; * Complex-network analysis of OSNeHM; * Modeling of social behavior through OSN data; * Crowdsourcing and OSNeHM; * Multidisciplinary applications of OSNeHM (economics, medicine, society, politics, homeland security, psychology, etc.) PAPER FORMAT AND SUBMISSION INSTRUCTIONS ________________________________________ Papers that have been previously published or are under review for another journal, conference or workshop will not be considered for publication. Submitted papers should not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. Submissions that do not follow these guidelines may be rejected without review. Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants. Accepted papers will be included in the workshop proceedings, which will be published as companion proceedings of The Web Conference, and indexed according to the main conference policy. Please follow the submission link at: https://easychair.org/conferences/?conf=thewebconf2023iwpd and select the full name of the workshop in the submission list. AWARDS AND EDITORIAL FOLLOW-UPS _______________________________ We will consider assigning a best paper award. We will organise a special issue on the Elsevier Online Social Networks and Media (OSNEM) Journal https://www.journals.elsevier.com/online-social-networks-and-media/ soliciting submissions of extended versions of particularly promising papers. OSNEM is a recent yet very well-reputed (Q1 SJR) journal covering, among others, 100% of the workshop topics. IMPORTANT DATES (all deadlines are AoE) _______________ 6th February 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline 6th March 2023: Workshop paper (acceptance) notification 20th March 2023: Workshop papers camera-ready deadline 31st March 2023: Final program (with duration) provided to Workshop Track leads 1st May 2023: Workshops at WWW2023 ORGANISING COMMITTEE ____________________ Workshop chairs: * Marco Conti, IIT-CNR, Italy * Andrea Passarella, IIT-CNR, Italy * Jussara M. Almeida, Universidade Federal de Minas Gerais, Brazil * Arkaitz Zubiaga, Queen Mary University of London, UK Technical Program Committee * Virgilio Almeida - Universidade Federal de Minas Gerais, Brazil * Chiara Boldrini - IIT-CNR, Italy * Barbara Carminati - University of Insubria, Italy * Ignacio Castro - Queen Mary University of London, United Kingdom * Emilio Ferrara - University of Southern California, Los Angeles, USA * Pan Hui - Hong Kong University of Science and Technology, Hong Kong * Adriana Iamnitchi - Maastricht University, Netherlands * Andreas Kaltenbrunner - Pompeu Fabra University, Spain * Ioannis Katakis - University of Nicosia, Cyprus * Ema Kusen - Vienna University of Economics and Business, Austria * Haewoon Kwak - Singapore Management University, Singapore * Lik-Hang Lee - KAIST, South Korea * Na Li - Prairie View A&M University, USA * Fabricio Murai - Worcester Polytechnic Institute, USA * Paolo Rosso - Technical University of Valencia, Spain * Daniel Sadoc - Federal University of Rio de Janeiro, Brasil * Nishanth Sastry - University of Surrey, Guildford, United Kingdom * Altigran Silva - Universidade Federal do Amazonas, Brazil * Thiago Silva - Universidade Tecnológica Federal do Paraná, Brazil * Fabrizio Silvestri - Sapienza University of Rome, Italy * Mark Strembeck - Vienna University of Economics and Business, Austria * Andrea Tagarelli - University of Calabria, Italy * Panayiotis Tsaparas - University of Ioannina, Greece * Gareth Tyson - Hong Kong University of Science and Technology, Hong Kong * Marco Viviani - University of Milan-Bicocca, Italy * Ingmar Weber - Saarland University, Saarbrücken, Germany For more information, please write to the workshop co-chairs at osnehm23 <at> iit <dot> cnr <dot> it

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deadline extension: Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems (28th Feb 2023)
by Ryuichiro Higashinaka 30 Jan '23

30 Jan '23

Dear all, Due to numerous requests, we decided to extend the deadline for the special issue on "Multimodal Processing and Robotics for Dialogue Systems" in the journal of Advanced Robotics (Taylor & Francis). https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo… https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf The new deadline is 28 Feb. 2023. I would also appreciate it if you could help distribute the CFP and encourage your colleagues to make submissions. Best regards, Ryuichiro on behalf of guest editors ///////////////////////////////////////////////////////////////////////// [Call for Papers] Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems Co-Editors: Prof. David Traum (University of Southern California, USA) Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden) Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan) Prof. Ryuichiro Higashinaka (Nagoya University, Japan) Dr. Takashi Minato (RIKEN/ATR, Japan) Prof. Takayuki Nagai (Osaka University, Japan) Publication in Vol. 37, Issue 21 (Nov 2023) SUBMISSION DEADLINE: 28 Feb 2023 In recent years, as seen in smart speakers such as Google Home and Amazon Alexa, there has been remarkable progress in spoken dialogue systems technology to converse with users with human-like utterances. In the future, such dialogue systems are expected to support our daily activities in various ways. However, dialogue in daily activities is more complex than that with smart speakers; even with current spoken dialogue technology, it is still difficult to maintain a successful dialogue in various situations. For example, in customer service through dialogue, it is necessary for operators to respond appropriately to the different ways of speaking and requests of various customers. In such cases, we humans can switch the speaking manner depending on the type of customer, and we can successfully perform the dialogue by not only using our voice but also our gaze and facial expressions. This type of human-like interaction is far from possible with the existing spoken dialogue systems. Humanoid robots have the possibility to realize such an interaction, because they can recognize not only the user's voice but also facial expressions and gestures using various sensors, and can express themselves in various ways such as gestures and facial expressions using their bodies. Their many means of expressions have the potential to successfully continue dialogue in a manner different from conventional dialogue systems. The combination of such robots and dialogue systems can greatly expand the possibilities of dialogue systems, while at the same time, providing a variety of new challenges. Various research and development efforts are currently underway to address these new challenges, including "dialogue robot competition" at IROS2022. In this special issue, we invite a wide range of papers on multimodal dialogue systems and dialogue robots, their applications, and fundamental research. Prospective contributed papers are invited to cover, but are not limited to, the following topics on multimodal dialogue systems and robots: *Spoken dialogue processing *Multimodal processing *Speech recognition *Text-to-speech *Emotion recognition *Motion generation *Facial expression generation *System architecture *Natural language processing *Knowledge representation *Benchmarking *Evaluation method *Ethics *Dialogue systems and robots for competition Submission: The full-length manuscript (either PDF file or MS word file) should be sent by 28th Feb 2023 to the office of Advanced Robotics, the Robotics Society of Japan through the on-line submission system of the journal (https://www.rsj.or.jp/AR/submission). Sample manuscript templates and detailed instructions for authors are available at the website of the journal. Note that word count includes references. Captions and author bios are not included. For special issues, longer papers can be accepted if the editors approve. Please contact the editors before the submission if your manuscript exceeds the word limit.

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Vacancy for a professor in Natural Language Processing at the University of Antwerp
by walter.daelemans＠uantwerpen.be 30 Jan '23

30 Jan '23

We have a vacancy for a professor of Natural Language Processing (from September 15, 2023). The successful candidate will join the CLiPS Research Centre with research on NLP and Machine Learning, and teach in the MA on Digital Text Analysis. The deadline for applications is 28 March 2023. Vacancy description and link to application site: https://www.uantwerpen.be/en/jobs/vacancies/academic-staff/?q=2634&descr=Ac… For more information, candidates can contact me by email. Best wishes, Walter Daelemans

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Call for Papers: CMC-Corpora 2023, Mannheim 14+15 September
by cotgrove＠ids-mannheim.de 30 Jan '23

30 Jan '23

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 ================= *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) * 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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Two Post-Doc Positions in Comparative Linguistics at the University of Passau
by Mattis List 27 Jan '23

27 Jan '23

Dear all, I would like to point you to two open positions (deadline for application is February 28) at our newly founded Chair of Multilingual Computational Linguistics at the University of Passau (Germany). The first position is for an "assistant professor" (Akademischer Rat auf Zeit, m/w/d) with broad interest in linguistic typology, comparative linguistics, and computational linguistics. The position is for three years, can be prolonged by three more years, and can be used to write a habilitation thesis with me. Condition is a PhD that has been acquired before starting the position (preferably in comparative linguistics or computational linguistics). https://www.uni-passau.de/fileadmin/dokumente/beschaeftigte/Stellenangebote… The second position is for either an "assistant professor" (Akademischer Rat auf Zeit, m/w/d) or a "research and teaching assistant" (Wiss. Mitarbeiter, m/w/d), again for three years with possible extension by three more years, devoted to the enhancement and extension of our work on the standardization of cross-linguistic data. Condition is a PhD ("assistant professor") or a master in computer science or computational linguistics ("research and teaching assistant"). For detailed requirements (web administration and Python), please see the detailed call. https://www.uni-passau.de/fileadmin/dokumente/beschaeftigte/Stellenangebote… Note that only the German versions of these calls are legally binding. Please circulate these across all channels, we hope to find strong applications. All the best, Mattis -- Prof. Dr. Johann-Mattis List Chair of Multilingual Computational Linguistics University of Passau Dr.-Hans-Kapfinger-Str. 16 04032 Passau Germany Chair Website: https://phil.uni-passau.de/multilinguale-computerlinguistik/ Personal Website: https://lingulist.de Telephone: +49(0)851/509-3480

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Removal from subscription list
by Marie Quinn 27 Jan '23

27 Jan '23

Hi, Can you please remove me from your mailing list? Kind regards, Marie

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1 PhD position in neural language generation
by Vera Demberg 27 Jan '23

27 Jan '23

*1 PhD-Position in Neural Language Generation * We invite applications for one PhD student position in data-to-text natural language generation in a low resource context. The goal of the project is to develop methods that generalize well to settings where little training data for the domain of interest is available. The position, to be established in thegroup "Computer Science and Computational Linguistics" (Prof. Vera Demberg) <https://www.uni-saarland.de/lehrstuhl/demberg.html>, is part of the E2 project of DFG-funded transregional collaborative research center on perspicuous computing, CPEC <https://www.perspicuous-computing.science/>. There will also be the opportunity to closely collaborate with researchers working on the DFG-fundedCollaborative Research Center on Information Density and Linguistic Encoding <http://www.sfb1102.uni-saarland.de/>(SFB 1102) <http://www.sfb1102.uni-saarland.de/>. Candidates for this position should have a master's degree in computational linguistics, computer science or a related discipline. Experience with machine learning including deep learning is expected; background and previous experience in natural language processing is also expected. The research will be conducted in English. Dates: *application deadline: Feb 15, 2023* start date: spring or summer 2023 The expected duration of the PhD is 3.5 years, the position is paid according to 75% TV-L E13, see alsohttps://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix=12 <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix…>. The job does not come with any teaching obligation. You can however choose to participate in teaching activities (tutoring or co-teaching). Applicants are requested to submit their application, including a cover letter that specifies why you would like to work on this topic and what qualifies you for it, an academic CV, a list of academic publications, your MSc thesis (or a current draft), copies of academic degree certificates and names of two potential references. Please also include a 2-page research proposal in your application which outlines how you would approach the topic (choose one topic among multitask learning, domain adaptation or connective generation for discourse coherence). Saarland University <https://www.uni-saarland.de/en/home.html> is one of the leading centres for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. It is famous for its interdisciplinary research in language, translation, computation and cognition. The group is affiliated with both theDepartment of Computer Science <https://www.uni-saarland.de/fachrichtung/informatik.html>and with the Department of Language Science and Technology <https://www.lst.uni-saarland.de/>. The Department of Language Science and Technology organizes about 100 research staff in ten research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. Both departments are part of the Saarland Informatics Campus <https://saarland-informatics-campus.de/en>, which brings together 800 researchers and 2000 students from 81 countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics <https://www.mpi-inf.mpg.de/home/>, the Max Planck Institute for Software Systems <https://www.mpi-sws.org/>, and the German Research Center for Artificial Intelligence <https://www.dfki.de/en/web/> (DFKI). Our researchers and students come from all over the world, and our primary working language is English. Saarland University is an equal opportunity employer. Applications of women are strongly encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Applications should be sent via email directly to Prof. Vera Demberg (vera(at)coli.uni-saarland.de), quoting opening number W2229.

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2024

2023

2022