- Corpora - ELRA lists

Call for Abstracts: Sustainable archiving, exploitation, distribution of social media data
by Tatjana Scheffler 18 Sep '23

18 Sep '23

CALL FOR ABSTRACTS "SUSTAINABLE ARCHIVING, EXPLOITATION, AND DISTRIBUTION OF DYNAMIC DATA FROM SOCIAL MEDIA - TWITTER AND BEYOND" Conference from 19 - 20 March 2024 at the German National Library (Frankfurt am Main) Website: https://www.dnb.de/EN/twittertagung Social media is both a source of data for and the focus of a range of research approaches in the humanities, social sciences, IT, sciences and life sciences. The development of social media over time makes it a part of our digital cultural heritage, but the process for institutions to archive and document these in ways which fully reflect its detail and complexity is still only rudimentary. One key reason for this is the unique characteristics of the data in terms of media technology, economics, social factors and aesthetics. This confronts researchers, research institutions and cultural heritage institutions with many different challenges in terms of how to archive, catalogue and provide the data for later use. One example of this is Twitter (now known as “X”). The monetisation of the platform’s internal archive (part of ongoing restructuring of the platform) has had a radical impact on research and archiving. While flexible APIs and access opportunities before early 2023 led to a boom in research activity and the creation of comprehensive collections, access for research and archive has been made increasingly difficult since then. Archiving, cataloguing and providing dynamic data from social media present challenges which affect researchers, research institutions, libraries and archives in equal measure, and the best way to solve these problems is through collaboration and partnership. This requires wide-ranging efforts which would be impossible for a single data community or discipline. The aim of the conference is to facilitate networking between libraries, archives, research institutes and researchers in German-speaking countries who are involved in archiving and long-term use of data and digital objects from social media. Conference presentations should focus on the following topics: • The interaction between research and archiving • Research data problems in Tweet-based research caused by the loss of Twitter as a data provider • The status and maintenance of social media from an archival and cultural-historical perspective, e.g. posts, interactions and platform elements • The consolidation of collections, corpora, and holdings such as metadata • Initiatives to encourage archiving and cataloguing of social media data • Concepts for providing derivative datasets from social media and how these can be used • Ethical questions • Legal issues • The possibility of creating a social media data registry Please submit your abstract (max. 1 page / 500 words) and no more than 1 page of biobibliographic data as a PDF in German or English. Up to 20 minutes are available for each presentation, plus 10 minutes for discussion. Submission to: twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Deadline for submission of abstracts: 31 October 2023 feedback on acceptance of paper: 30 November 2023 Conference The conference will take place from about noon, 19 March 2024 and end in the early evening of 20 March. It will be followed by a data sprint working with a long-term corpus of German Twitter data on 21 & 22 March 2024. More information coming soon. Conference: 19. - 20. March 2024 Data Sprint: 21. - 22. March 2023 Venue: German National Library, Frankfurt am Main Speakers who do not have their own resources for travel may apply for up to €300 to cover travel and accommodation costs. Organisation: Dr. Britta Woldering, Letitia Mölck, German National Library, twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Programme Committee (in alphabetical order) Stefan Dietze (Heinrich Heine University Düsseldorf) Dimitar Dimitrov (GESIS) Christoph Eggersglüß (Philipps University Marburg, NFDI4Culture) Philippe Genêt (German National Library, Text+) Tatjana Scheffler (Ruhr University Bochum) Claus-Michael Schlesinger (University Library, Humboldt University Berlin) Britta Woldering (German National Library) Cooperation partners: Deutsche Nationalbibliothek BERD@NFDI KonsortSWD NFDI4Culture NFDI4Data Science Text+ --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44801 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

1 0

Professor (W2 with Tenure Track to W3) for Speech Science
by Dietrich Klakow 18 Sep '23

18 Sep '23

Saarland University is a campus-based university with a strong international focus and a research-oriented profile. Numerous research institutes on campus and the systematic promotion of collaborative projects make Saarland University an ideal environment for innovation and technology transfer. To further strengthen this excellence in research and teaching, the Department of Language Science and Technology seeks to hire a Professor (W2 with Tenure Track to W3) for Speech Science (m|f|x) Reference n° W2283 Six-year tenure track position, starting April 2025, with the possibility of promotion to a permanent professorship (W3). We are looking for a highly motivated researcher in the field of phonetics, speech science, and speech technology, with extensive knowledge of speech production, perception and acoustics. The successful candidate is expected to have expertise in experimental and computational approaches to research on spoken language. A focus on spoken dialog and conversational speech and/or multimodal aspects of communication is particularly welcome. The Department of Language Science and Technology is internationally recognized for collaborative and interdisciplinary research, and the successful candidate is expected to contribute to relevant joint research initiatives. A demonstrated ability to attract external funding of research projects is therefore highly desired. Phonetics, speech science and speech technology are core elements of our study programs on the M.Sc. and B.Sc./B.A. level, and the successful candidate is expected to teach the associated courses within these programs. What we can offer you: Tenure track professors (W2) have faculty status at Saarland University, including the right to supervise Bachelor’s, Master’s and PhD students. The successful candidate will focus on carrying out world-class research, will lead their own research group, and will undertake teaching and supervision responsibilities. Tenure track professors (W2) with outstanding performance will receive tenure as a full professor (W3) provided a positive tenure evaluation is made. Decisions regarding tenure are made no later than six years after taking up the tenure track position. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centers for language science and computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology organizes about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, phonetics and speech science, speech processing, and corpus linguistics (https://www.uni-saarland.de/en/department/lst.html). The department serves as the focal point of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" (http://www.sfb1102.uni-saarland.de). It is part of the Saarland Informatics Campus (https://saarland-informatics-campus.de/en), which brings together 800 researchers and 2,000 students from 81 countries and collaborates closely with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Applicants will have a PhD or doctorate in an appropriate subject and will have demonstrated a proven track record of independent academic research (e.g. as a junior or assistant professor, or by having completed an advanced, post-doctoral research degree (Habilitation) or equivalent academic activity at a university or research institution). They will typically have completed a period of postdoctoral research and have teaching experience at the university level. They must have demonstrated outstanding research capabilities and have the potential to successfully lead their own research group. The successful candidate will be expected to actively contribute to departmental research and teaching, including introductory lectures in phonetics and phonology, speech science, as well as more advanced lectures. The teaching language is English (in the MSc programs) and German (in the BSc/BA programs). We expect that the successful candidate has, or is willing to acquire within an appropriate period, sufficient proficiency to teach in both languages. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a cover letter and curriculum vitae (including phone number and email address) • a full list of publications • a full list of third-party funding (own shares shown) • your proposed research plan (2-5 pages) • a teaching statement (1 page) • copies of your degree certificates • full-text copies of your 5 most important publications • a list of 3 academic references (including email addresses), at least one of whom must be a person who is outside the group of your current or former supervisors or colleagues. Applications must be received no later than 12 October 2023. Please include the job reference number W2283 when you apply. Please contact crocker(a)lst.uni-saarland.de if you have any questions. Saarland University regards internationalization as an institution-wide process spanning all aspects of university life and it therefore encourages applications that align with its internationalization strategy. Members of the university's professorial staff are therefore expected to engage in activities that promote and foster further internationalization. Special support will be provided for projects that continue with or expand on collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu) or the University of the Greater Region (www.uni-gr.eu). Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.

1 0

Introducing LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking and Prompt Engineering
by Firoj Alam 18 Sep '23

18 Sep '23

Dear all, We are happy to announce the release of our LLMeBench framework. The framework is designed to accelerate and simplify evaluation and benchmarking of large language models. It is modular, language-agnostic and simple to extend. It currently supports interactions with LLMs through APIs. The framework also features zero- and few-shot learning settings. It will be open-sourced to encourage improvements and extensions from the community. The framework currently hosts recipes for a diverse set of Arabic NLP tasks using OpenAI’s GPT and BLOOMZ models. Specifically, it currently serves 31 unique NLP tasks (from word-level to sentence pairs tasks) with specific focus on Arabic tasks, using 53 publicly available datasets. It also comes equipped with 200 prompts for these setups. It has recipes for 12 languages including Arabic, Bangla, Bulgarian, Dutch, English, French, German, Italian, Polish, Russian, Spanish, Turkish, and more to come. We hope this will encourage experimentation with LLMs for multilingual studies content. We extend an invitation to the research community to participate and improve the framework. We are excited to hear all your feedback and suggestions and we thank you for your contribution. For further details please take a look at the repository and the paper below. Code: https://github.com/qcri/LLMeBench Paper: https://arxiv.org/pdf/2308.04945.pdf Regards Firoj ................ Firoj Alam, PhD http://sites.google.com/site/firojalam/

1 0

[Conference] Untangling Associations - Advances in collocation and keyword analysis, Friday 22 september 2023, Montpellier / online
by sascha.diwersy＠univ-montp3.fr 17 Sep '23

17 Sep '23

Praxiling and the CORLI consortium are pleased to announce the conference "Untangling Associations - Advances in collocation and keyword analysis", which will take place on Friday 22 September 2023 at Paul-Valéry University Montpellier and online. Detailed information regarding the conference's description and program can be found below. Conference description For the past few decades, assessing the adequacy of association measures (AM) – be it in the domain of keywords, collocations or collostructional analysis – has been one of the most important strands of corpus linguistic research. Most of the work in this area focussed on finding the one best measure as a trade off between statistical appropriateness and ease of computational implementation, thus reflecting the practice of corpus linguists predominantly favouring data sets based on one single AM for the sake of simplicity. This one-AM-fits-all approach, however, suffers from the fact that the most consensual and widespread AMs, such as log-likelihood ratio (G2), conflate different strands of information (viz. frequency and strength of attraction), whereas data sets used to investigate association phenomena (keywords of target corpora as well as lexical or lexico-grammatical cooccurrence) should be designed to integrate several distinct dimensions, as has been recently pointed out by Stefan Th. Gries (2019, 2021). Starting from Gries’s proposal of the approach called « tupleization », this conference will be the occasion to discuss the present state of the art and possible innovations within the realm of methodological frameworks and studies encompassing keyword, collocation or collostruction analysis. It gathers scholars from different areas of research ranging from corpus linguistics and NLP to Digital Humanities and Textometrics as practised in the French tradition of Discourse Analysis. The conference will be held on Friday 22 September 2023 at Paul-Valéry University Montpellier (campus Saint-Charles 2, Salle des Actes 009) and online via Zoom (access link: https://univ-montp3-fr.zoom.us/j/95367941544). Attendance is free of charge. References Gries, Stefan Th. (2019). 15 years of collostructions: Some long overdue additions/corrections (to/of actually all sorts of corpus-linguistics measures). International Journal of Corpus Linguistics 24 (3), 385–412. Gries, Stefan Th. (2021). A new approach to (key) keywords analysis: Using frequency, and now also dispersion. Research in Corpus Linguistics 9 (2), 1–33. Program 10:00 - 11:00 Stefan Th. Gries: Tupleization in corpus linguistics: how and why 11:05 - 11:45 Martin Hilpert: Why are grammatical elements more evenly dispersed than lexical elements? A reanalysis with a new dispersion measure 11:45 - 12:25 Ludovic Lebart: Dealing with low frequencies or high discrepancies of lexical frequencies: How to adapt the tools of textual data analysis to corpora of poems and lyrics 12:30 - 14:15 Lunch 14:20 - 15:00 Bénédicte Pincemin: The Specificity Measure in Textometry: a Hermeneutic Use of the Fisher's Exact Test 15:00 - 15:40 Christof Schöch: Evaluating Measures of Keyness: A Perspective from Computational Literary Studies 15:40 - 16:20 Ludovic Tanguy & Filip Miletic: Measuring semantic specificities across corpora: looking for semantic shifts in Quebec English 16:20 - 17:00 Coffee break 17:00 - 18:00 Panel discussion Contact : Sascha Diwersy (sascha.diwersy(a)univ-montp3.fr) and Céline Poudat (celine.poudat(a)univ-cotedazur.fr)

1 0

Job - Tenure-track Assistant Professor: Computational Linguistics, Cognitive Science
by Cecilia Alm 16 Sep '23

16 Sep '23

Anticipated Start Date: (Mid August, 2024) DETAILED JOB DESCRIPTION: The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology<http://www.rit.edu/psychology>) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024. We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply. The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity. We are seeking individuals who have the ability and interest in contributing to a community committed to student-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values<http://www.rit.edu/academicaffairs/policiesmanual/p040>, honor code<http://www.rit.edu/academicaffairs/policiesmanual/p030>, and statement of diversity.<http://www.rit.edu/academicaffairs/policiesmanual/p050> THE COLLEGE/ DEPARTMENT: The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology. The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience. The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students. THE UNIVERSITY: Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu<http://www.rit.edu> . REQUIRED MINIMUM QUALIFICATIONS: * Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics); * Have demonstrated ability to conduct independent research in psychology or closely related fields; * Have consistently and recently published; * Have demonstrated teaching ability and have taught college courses independently beyond TA; * Have demonstrated ability to supervise student research; * Demonstrate external research grant attainment potential; * Demonstrate expertise in research and teaching in cognitive science; * Show a career trajectory that emphasizes a balance between teaching and research; * Show a fit with the Department of Psychology’s general mission, teaching, research, and resources. * Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences. HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments: • A brief teaching philosophy • A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research • The names, addresses and phone numbers for three references • Contribution to Diversity Statement<https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Stat…> You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh(a)rit.edu<mailto:cmdgsh@rit.edu>. Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found. Cecilia O. Alm, Ph.D. She/Her Joint Program Director, MS in AI, School of Information - rit.edu/study/artificial-intelligence-ms Director, AWARE-AI NSF Research Traineeship Program - rit.edu/nrtai/ Associate Director, Center for Human-aware AI - rit.edu/chai/ Director, Computational Linguistics and Speech Processing lab - rit.edu/clasp Professor, Department of Psychology, CLA, Rochester Institute of Technology Affiliated with the School of Information, Department of Computer Science, Ph.D. Program in Computing and Information Sciences, MS Program in Data Science 92 Lomb Memorial Drive Rochester NY 14623 rit.edu/directory/coagla-cecilia-alm W: 585-475-7327 M: 585-536-7539 coagla(a)rit.edu<mailto:coagla@rit.edu> [RIT | Rochester Institute of Technology]<https://www.rit.edu/> [Twitter]<https://twitter.com/AWAREAINRT> [LinkedIn] <https://www.linkedin.com/in/ceciliaoalm/> CONFIDENTIALITY NOTICE: The contents of this email message and any attachments are intended solely for the addressee(s) and may contain confidential and/or privileged information and may be legally protected from disclosure. If you are not the intended recipient of this message or their agent, or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. If you are not the intended recipient, you are hereby notified that any use, dissemination, copying, or storage of this message or its attachments is strictly prohibited.

1 0

Final CFP - SCOPUS indexed - 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) - Hybrid Event - Springer Publication
by Anu Bajaj 16 Sep '23

16 Sep '23

** Final Call for Papers - please circulate this CFP to your colleagues and networks ** -- *15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)* -- ** Onsite and On the World Wide Web ** http://www.mirlabs.org/socpar23 <https://er-anubajaj-dot-yamm-track.appspot.com/2JM2liuzWle7Ghg2sWb8bGsSzd85…> http://www.mirlabs.net/socpar23 <https://er-anubajaj-dot-yamm-track.appspot.com/2DIK1Uu77SgGeKhGByhCpkybBwsf…> *SoCPaR 2023 Theme:* Soft Computing Approaches in Large Language Models and Generative Pre-trained Transformers ============================================================================================ ** Venue details and accommodation details are now published ** *Onsite Venues:* Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Kochi, India *Please visit: *https://mirlabs.org/socpar23/venue2.php <https://er-anubajaj-dot-yamm-track.appspot.com/2WCJuTEKKvw_vzt5ULdoVt2ychWe…> December 13-15, 2023 *Organized Special Sessions and Workshops Details:* https://mirlabs.org/socpar23/cfss.php <https://er-anubajaj-dot-yamm-track.appspot.com/2PrcMHFZHrURwGRNxGs-J4Gw54lq…> SOCPAR 2023 will be a hybrid conference that will run fully in-person and virtually to take advantage of the best the two modalities can offer. Besides regular paper presentations, the technical programme will include 8-10 plenary lectures and poster sessions. SOCPAR 2023 Organising Committee also recognizes the benefits of virtual conferences allowing participation at a cheaper rate. This allows a higher number of research scholars and students to attend. Selected authors can attend and present the papers virtually or in one of the FOUR venues in Europe and Asia. *Proceedings of SOCPAR'23* will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. ( https://www.springer.com/series/15179 <https://er-anubajaj-dot-yamm-track.appspot.com/2YAVg1bMUjeV1h8VrOwAMl7An2Dn…> ) Proceedings of SoCPaR'22: https://link.springer.com/book/10.1007/978-3-031-27524-1 <https://er-anubajaj-dot-yamm-track.appspot.com/2DdXhOq2Ce5tB8GMmYFZytW364fR…> *Indexed by*: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink *History of SoCPaR series*: http://www.mirlabs.net/socpar23/previous.php <https://er-anubajaj-dot-yamm-track.appspot.com/2qW2GkUGOLLzFNqSp-w4-CbSQTpY…> ***Important Dates*** -------------------------- Paper submission due: September 30, 2023 Notification of paper acceptance: October 31, 2023 Registration and Final manuscript due: November 10, 2023 Conference: December 13-15, 2023 ***About SoCPaR 2023*** ------------------------------- After the success of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022), SoCPaR 2023 is organized to bring together worldwide leading researchers and practitioners interested in advancing the state-of-the-art in Soft Computing and Pattern Recognition, for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is hoped that researchers and practitioners will bring new prospects for collaboration across disciplines and gain inspiration to facilitate novel breakthroughs. The themes for this conference are thus focused on "Innovating and Inspiring Soft Computing and Intelligent Pattern Recognition". ***Topics (not limited to)*** --------------------------- Soft Computing and Applications (but not limited to):- Evolutionary computing Swarm intelligence Artificial immune systems Fuzzy Sets Uncertainty analysis Fractals Rough Sets Support vector machines Artificial neural networks Case Based Reasoning Wavelets Hybrid intelligent systems Nature inspired computing techniques Machine learning Ambient intelligence Hardware implementations Pattern Recognition and Applications (but not limited to):- Information retrieval Data Mining Web Mining Image Processing Computer Vision Bio-informatics Information security Network security Steganography Biometry Remote sensing Medical Informatics E-commerce Signal Processing Control systems ***Submission Guidelines*** ------------------------------------ Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. *Paper format templates:* https://www.springer.com/de/authors-editors/book-authors-editors/manuscript… <https://er-anubajaj-dot-yamm-track.appspot.com/28oJ1Qa_H7ka1otWV7WbVjhqGRh0…> *SoCPaR’23 Submission Link:* https://cmt3.research.microsoft.com/SOCPAR2023 <https://er-anubajaj-dot-yamm-track.appspot.com/2faA6bVFxOc23JiA9rVqzDujpT6R…> ***Plenary Talks*** ---------------------------------------- You are welcome to attend 12 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference website. Speaker 1: Christine Zarges, Aberystwyth University, UK Speaker 2: Theresa Schmiedel, University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland Speaker 3: Ke Feng, Singapore-ETH Centre, The National University of Singapore, Singapore Speaker 4: Stefka Fidanova, Bulgarian Academy of Sciences, Bulgaria Speaker 5: Diego Oliva, Universidad de Guadalajara, Mexico Speaker 6: Sebastian Ventura, University of Cordoba, Spain Speaker 7: Ana Maria Madureira, Instituto Superior de Engenharia do Porto, Portugal Speaker 8: Nuno Bettencourt , Instituto Superior de Engenharia do Porto, Portugal Speaker 9: Aboul Ella Hassanien, Cairo University, Egypt Speaker 10: Milan Tuba, Singidunum University, Serbia Speaker 11: Dalia Kriksciuniene, Vilnius University / Kaunas University of Applied Sciences, Lithuania Speaker 12: Kusum Deep, Indian Institute of Technology Roorkee, India *** SoCPaR 2023 Organization *** ---------------------------------------------- *General Chairs* Ajith Abraham, Machine Intelligence Research Labs, USA Artūras Kaklauskas, Vilnius Gediminas Technical University, Lithuania *Program Chairs* Andries Engelbrecht, University of Stellenbosch, South Africa Oscar Castillo, Tijuana Institute of Technology, Mexico *Publication Chair* Anu Bajaj, Thapar Institute of Engineering and Technology, India *Web Services Chair* Kun Ma, University of Jinan, China *Publicity Chair* Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India *Note:* If you would like to propose a special session, please email Dr. Anu Bajaj <er.anubajaj(a)gmail.com> with a CC to Ms. Mabrouka Salmi < salmimabrouka7(a)gmail.com> ***Technical Contact*** --------------------------------- Dr. Ajith Abraham Email: ajith.abraham(a)ieee.org [image: beacon]

1 0

Job: Tenure Track Assistant Professor of Computational Linguistics at Georgetown University (Washington DC)
by Amir Zeldes 15 Sep '23

15 Sep '23

(apologies for cross-postings) � Tenure Track Assistant Professor of Computational Linguistics at Georgetown University (Washington DC) � � The Department of Linguistics at Georgetown University in Washington, DC invites applications for a tenure-track Assistant Professor position in Computational Linguistics, beginning in August, 2024. � We seek candidates with a commitment to excellence in research and teaching in any area of Computational Linguistics or NLP. The candidate will be expected to lead a vibrant research program, and teach and mentor students at the undergraduate, master’s, and Ph.D. levels – including graduate students within the computational linguistics concentration. � � Of particular interest for this position are linguistically-grounded computational approaches to *interaction* (broadly construed). This includes (for example) research in spoken/signed language processing, dialogue systems, LLMs, and language learning. Also highly valued is research involving underrepresented groups and languages/varieties (including low-resource NLP, as well as bias and ethics in language technologies). � The new hire will join a computational linguistics concentration with faculty who specialize in syntax, semantics, and discourse processing in text. The Linguistics Department at Georgetown is committed to a diversity of perspectives on language, and houses concentrations in computational linguistics as well as theoretical, socio-, and applied linguistics. � � A Ph.D. in Linguistics, Computer Science, or a related field is required. Applicants must have the Ph.D. in hand by the time of the appointment. � Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic protected by law. � Please apply via the application link below. Dossiers should include: � * a letter of application * curriculum vitae * statements of research, teaching, and diversity * 1–3 representative publications * names (with contact information) of three references, who will be contacted by the system to request a letter of recommendation. � All applications received by 1-Nov-2023 will be reviewed in full. � Web Address for Applications: <https://apply.interfolio.com/11780/positions> https://apply.interfolio.com/11780/positions � � For further information, please contact the search committee chairs, Amir Zeldes and Nathan Schneider at <mailto:gu-compling-search@georgetown.edu> gu-compling-search(a)georgetown.edu and see <https://gucl.georgetown.edu/> https://gucl.georgetown.edu/ � � �

1 0

2nd Call for Demonstrations PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Iria de Dios Flores 15 Sep '23

15 Sep '23

[Apologies for cross-postings] ******************************************************** *2nd Call for Demonstrations* PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th & 15th 2024 https://propor2024.citius.gal/ ******************************************************** 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. 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. Submissions must be sent via EasyChair ( https://easychair.org/my/conference?conf=propor2024) — please select the track: *PROPOR2024 Demo Paper*. 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 stylesheet: 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/>*

1 0

September 2023 Newsletter - LDC
by Penn LDC 15 Sep '23

15 Sep '23

In this newsletter: LDC data and commercial technology development New publications: CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08> CALLFRIEND Russian Text<https://catalog.ldc.upenn.edu/LDC2023T09> ________________________________ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08> was developed by LDC and consists of 48 hours of telephone conversations (100 recordings) between native speakers of Russian. The calls were recorded in 1999 as part of the CALLFRIEND collection, a project designed primarily to support research in automatic language identification. One hundred native Russian speakers living in the continental United States each made a single phone call, lasting up to 30 minutes, to a family member or friend living in the United States. All recordings involved domestic calls routed through LDC's automated telephone collection platform and stored as 2-channel (4-wire) 8-KHz mu-law samples taken directly from a public telephone network via a T-1 circuit. Each audio file is a FLAC-compressed MS-WAV (RIFF) format audio file containing 2-channel, 8-KHz, 16-bit PCM sample data. This release includes call metadata, including speaker gender, the number of speakers on each channel, and call duration. Corresponding transcripts and a lexicon are available in CALLFRIEND Russian Text (LDC2023T09<http://catalog.ldc.upenn.edu/LDC2023T09>). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLFRIEND Russian Text<https://catalog.ldc.upenn.edu/LDC2023T09> contains the corresponding transcripts and a lexicon for CALLFRIEND Russian Speech<https://catalog.ldc.upenn.edu/LDC2023S08>, that is, 48 hours of telephone conversations (100 recordings) between native Russian speakers. The transcripts have four main fields on each line (begin_offset, end_offset, speaker_label, transcript_text) separated by tabs. Each contains a list of time-stamped segments in order according to their begin_offset values, with no blank lines. The lexicon covers the word forms in the 97 transcript files. The main lexicon table contains three columns per row: Cyrillic orthography, phonetic transliteration, and numeric representation of syllabic stress. Corresponding speech data is available as CALLFRIEND Russian Speech (LDC2023S08<http://catalog.ldc.upenn.edu/LDC2023S08>). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

1 0

Second CFP and Revised Timeline: 2nd Shared Task on Indian Language Summarization (ILSUM 2023)
by Parth Mehta 15 Sep '23

15 Sep '23

Apologies for the multiple postings. ----------------------------- *Indian Language Summarization (ILSUM 2023)* Website: https://ilsum.github.io/ To be organized in conjunction with FIRE 2023 (fire.irsi.res.in) 15th-18th December 2023, Goa, India ------------------------------ The second shared task on Indian Language Summarization (ILSUM) aims at creating an evaluation benchmark dataset for Indian Languages. This year ILSUM consists of two subtasks Subtask 1: This task builds upon the task from ILSUM 2022. In the first edition, we covered two major Indian languages Hindi and Gujarati alongside Indian English, a widely recognized dialect of the English Language. This year's edition adds the Bengali language and an expanded dataset for the languages from last year. Further, we will provide abstractive summaries for a subset of each language (~1000 per language) apart from the headlines which are semi-extractive summaries in nature. Like the previous edition, this will be a classic summarization task, where we will provide ~15,000 article-summary pairs for each language and the participants are expected to generate a fixed-length summary. Subtask 2: The task is centred around identifying factual errors in machine-generated summaries. With the recent implosion of Large Language models, . While these LLMs are very good at summarization, among other NLP tasks, they are often prone to hallucinations. This means the model generates information that is not accurate, not based on its training data, or is completely made up but looks accurate and reliable. Further, such tools can be misused to generate misleading or outright incorrect information. Identifying such inaccuracies can be a challenging task. Through this subtask, we aim to address the problem of identifying factually incorrect information in LLM-generated summaries. Participants will be provided with an article and its corresponding machine-generated summary. The objective is to identify the presence of factual incorrectness in the summaries if any, and classify them in one of the predefined categories. *Tentative Timeline* ------------- 7st August - Training Data Released and Registrations open 10th October - Test Data Release 20th October - Run Submission Deadline 25th October - Results Declared 10th Novemebr - Working notes due 20th November - Reviews Due 30th November - Camera Ready Submissions due 15th-18th December - FIRE 2023 at Goa, India *Organisers* ---------------- Shrey Satapara, Indian Institute of Technology, Hyderabad, India Sandip Modha, LDRP-ITR, Gandhinagar, India Parth Mehta, Parmonic, USA Debasis Ganguly, University of Glasgow, Scotland *For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com**

1 0