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Call for Participation: SemRel SemEval Shared Task 1
by Nedjma OUSIDHOUM 19 Sep '23

19 Sep '23

Dear corpora-list members, We are glad to announce the first SemEval shared task on Semantic Textual Relatedness (STR): A shared task on automatically detecting the degree of semantic relatedness (closeness in meaning) between pairs of sentences. The semantic relatedness of two language units has long been considered fundamental to understanding meaning (Halliday and Hasan, 1976; Miller and Charles, 1991), and automatically determining relatedness has many applications such as evaluating sentence representation methods, question answering, and summarization. Two sentences are considered semantically similar when they have a paraphrasal or entailment relation. On the other hand, relatedness is a much broader concept that accounts for all the commonalities between two sentences: whether they are on the same topic, express the same view, originate from the same time period, one elaborates on (or follows from) the other, etc. For instance, for the following sentence pairs: - Pair 1: a. There was a lemon tree next to the house. b. The boy enjoyed reading under the lemon tree. - Pair 2: a. There was a lemon tree next to the house. b. The boy was an excellent football player. Most people will agree that the sentences in pair 1 are more related than the sentences in pair 2. In this task, new textual datasets will be provided for Afrikaans <https://en.wikipedia.org/wiki/Afrikaans>, Algerian Arabic <https://en.wikipedia.org/wiki/Algerian_Arabic>, Amharic <https://en.wikipedia.org/wiki/Amharic>, English, Hausa <https://en.wikipedia.org/wiki/Hausa_language>, Hindi <https://en.wikipedia.org/wiki/Hindi>, Indonesian <https://en.wikipedia.org/wiki/Indonesian_language>, Kinyarwanda <https://en.wikipedia.org/wiki/Kinyarwanda>, Marathi <https://en.wikipedia.org/wiki/Marathi_language>, Moroccan Arabic <https://en.wikipedia.org/wiki/Moroccan_Arabic>, Modern Standard Arabic <https://en.wikipedia.org/wiki/Modern_Standard_Arabic>, Punjabi <https://en.wikipedia.org/wiki/Punjabi_language>, Spanish <https://en.wikipedia.org/wiki/Spanish_language>, and Telugu <https://en.wikipedia.org/wiki/Telugu_language>. Data Each instance in the training, development, and test sets is a sentence pair. The instance is labeled with a score representing the degree of semantic textual relatedness between the two sentences. The scores can range from 0 (maximally unrelated) to 1 (maximally related). These gold label scores have been determined through manual annotation. Specifically, a comparative annotation approach was used to avoid known limitations of traditional rating scale annotation methods This comparative annotation process (which avoids several biases of traditional rating scales) led to a high reliability of the final relatedness rankings. Further details about the task, the method of data annotation, how STR is different from semantic textual similarity, applications of semantic textual relatedness, etc. can be found in this paper: https://aclanthology.org/2023.eacl-main.55.pdf Tracks Each team can provide submissions for one, two or all of the tracks shown below: Track A: Supervised Participants are to submit systems that have been trained using the labeled training datasets provided. Participating teams are allowed to use any publicly available datasets (e.g., other relatedness and similarity datasets or datasets in any other languages). However, they must report additional data they used, and ideally report how impactful each resource was on the final results. Track B: Unsupervised Participants are to submit systems that have been developed without the use of any labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long in any language. The use of unigram or bigram relatedness datasets (from any language) is permitted. Track C: Cross-lingual Participants are to submit systems that have been developed without the use of any labeled semantic similarity or semantic relatedness datasets in the target language and with the use of labeled dataset(s) from at least one other language. Note: Using labeled data from another track is mandatory for submission to this track. Deciding which track a submission should go to: - If a submission uses labeled data in the target language: submit to Track A - If a submission does not use labeled data in the target language but uses labeled data from another language: submit to Track C - If a submission does not use labeled data in any language: submit to Track B ** Here ‘labeled data’ refers to labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long. Evaluation The official evaluation metric for this task is the Spearman rank correlation coefficient, which captures how well the system-predicted rankings of test instances align with human judgments. You can find the evaluation script for this shared task on our Github page <https://github.com/semantic-textual-relatedness/Semantic_Relatedness_SemEva…> . Helpful Links - Competition Website: https://codalab.lisn.upsaclay.fr/competitions/15704 - Task Website: <https://afrisenti-semeval.github.io/> https://semantic-textual-relatedness.github.io - Twitter X: <https://twitter.com/AfriSenti2023> https://twitter.com/SemRel2024 - Contact organisers semrel-semeval-organisers(a)googlegroups.com - Google group for participants semrel-semeval-participants(a)googlegroups.com Important Dates - Training data ready: 11 September 2023 - Evaluation Starts: 10 January 2024 - Evaluation End: 31 January 2024 - System Description Paper Due: February 2024 - SemEval workshop: Summer 2024 - (co-located with a major NLP conference) References - Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko. 2019. Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. - M. A. K. Halliday and R. Hasan. 1976. Cohesion in English. London: Longman. - George A Miller and Walter G Charles. 1991. Contextual Correlates of Semantic Similarity. Language and Cognitive Processes, 6(1):1–28 - Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif Mohammad. 2023. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 782–796, Dubrovnik, Croatia. Association for Computational Linguistics. Task Organizers Nedjma Ousidhoum Shamsuddeen Hassan Muhammad Mohamed Abdalla Krishnapriya Vishnubhotla Vladimir Araujo Meriem Beloucif Idris Abdulmumin Seid Muhie Yimam Nirmal Surange Christine De Kock Sanchit Ahuja Oumaima Hourrane Manish Shrivastava Alham Fikri Aji Thamar Solorio Saif M. Mohammad

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VLSP 2023 Evaluation Campaign on Vietnamese text and speech processing
by Nguyen Thi Minh Huyen 19 Sep '23

19 Sep '23

Dear all, I would like to share the information about the VLSP 2023 evaluation campaign on Vietnamese text and speech processing: https://vlsp.org.vn/vlsp2023/eval Registration is still open for several tasks. Thank you for your attention. Best regards, Huyen -- Nguyen Thi Minh Huyen Faculty of Mathematics, Mechanics and Informatics VNU University of Science 334 Nguyễn Trãi, Thanh Xuân, Hà Nội Tel: +84-24-38581530

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2 TT faculty openings at UT Austin
by Matt Lease 19 Sep '23

19 Sep '23

Assistant Professor, Social Informatics: https://apply.interfolio.com/132375 Assistant Professor, Health Informatics: https://apply.interfolio.com/132381 Please direct any questions to facultysearch(a)ischool.utexas.edu -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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2023 Law & Corpus Linguistics Conference Registration
by Brett Hashimoto 18 Sep '23

18 Sep '23

Hello! We're looking forward to the 8th annual Law and Corpus Linguistics Conference at Brigham Young University on Friday, October 13th. Information about the conference can be found HERE<https://corpusconference.byu.edu/2023-home/>. Please make note of the following information in preparation for the conference: Registration You can now register for the conference HERE<https://corpusconference.byu.edu/2023-home/registration/>. Please register early so we can make appropriate plans for meeting spaces and meals. There is no registration fee for this conference. Pre-conference Workshop There will be a workshop, titled Introduction to Corpus Linguistic Applications to Law, on Thursday from 9:00 - 12:00 for linguists who are interested in learning more about legal applications of corpus linguistics. The workshop is free of charge. If you are interested, please register HERE<https://corpusconference.byu.edu/2023-home/pre-conference/>. Lunch will be provided immediately following the workshop. Meals There will be a dinner for registered attendees on Thursday, October 12 at 6:00 pm. Please RSVP on the registration form if you plan to attend. Breakfast, lunch, and snacks will be provided on Friday. Location and accommodation The conference will be held in the J. Reuben Clark Law Building at Brigham Young University. We recommend the Provo Marriott Hotel or the Hyatt Place Provo for nearby accommodation. Travel scholarships We are offering $500 travel scholarships for law students, graduate students in linguistics, or early career professionals. If you are in one of these categories and need assistance with travel funding, please email byulawcorpus(a)law.byu.edu<mailto:byulawcorpus@law.byu.edu> with a brief letter describing how you will benefit from this scholarship and attendance at LCL 2023. Please don't hesitate to reach out if you have additional questions. We hope to see you in October! LCL 2023 Conference Organizing Team

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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

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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.

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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/

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[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)

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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.

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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]

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