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Intern Position at Ulster University
by muskaan singh 07 May '24

07 May '24

Exciting Opportunity for Summer 2024 NLP Internship at Ulster University! Are you passionate about Natural Language Processing (NLP) and eager to join a cutting-edge team at Ulster University? We're thrilled to announce an internship opportunity for our Core NLP team, and we're looking for enthusiastic individuals to join us. Key Details: 1. Duration: 2.5 months, remote mode, from mid-May to July 2024. Open to graduates from both 2024 and 2025. 2. Focus: You'll be involved in building data pipelines, cleaning, processing, and analyzing diverse datasets. 3. Requirements: Prior hands-on experience with Machine Learning frameworks and models is essential. 4. Responsibilities: You'll contribute to the design, training, integration, testing, and optimization of NLP (LLMs) and ML models. 5. Bonus Skills:Experience with LLM finetuning, RAG-based methods, and deployments is highly desirable. How to Apply: If you're excited about research and scientific dissemination and meet the qualifications above, we'd love to hear from you! Please apply directly through the link https://forms.gle/Unah7Nt522KcDYoC6

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Postdocs in ML, NLP and CV at U Amsterdam
by Ivan Titov 07 May '24

07 May '24

The University of Amsterdam invites applications for postdoctoral positions on the intersection of ML, NLP, and Computer Vision. The research is funded by NWO (Dutch Science Foundation) grant of Ivan Titov ( http://ivan-titov.org/). The postdocs and PhD students will be employed by the University of Amsterdam and will be members of the Institute for Logic, Language, and Computation <https://www.illc.uva.nl/> and the Faculty of Science. The collaboration is envisaged with researchers at the University of Amsterdam (e.g., Efstratios Gavves, and Wilker Aziz), as well as at the University of Edinburgh (e.g., Edoardo Ponti, Hakan Bilen, Sidharth N., Pasquale Minervini and Kenny Smith). The research will focus primarily on the following directions (or their intersections): 1) Modular and decentralized learning in multimodal settings 2) Learning from language in grounded settings: exploiting knowledge embedded in language and language models to help solve decision-making applications and produce generalizable and interpretable models for these tasks 3) Emergent communication and collaboration: developing agents, which learn to communicate with each other to solve problems, while maintaining transparency to humans and improving with human feedback. *Application deadline: May 31, 2024* https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos… <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…> For informal enquiries please contact: Ivan Titov (titov(a)uva.nl) Ivan is attending ICLR, so please feel free to connect with him for a discussion. <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…> <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…>

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Call for Participation: HumEval 2024 @ LREC-COLING 2024
by Simone Balloccu 06 May '24

06 May '24

Call for Participation: The 4th Workshop on Human Evaluation of NLP Systems (HumEval’24) Date: 21 May 2024 (full day) Venue: Lingotto Conference Centre, Turin, Italy Registration Registration is mandatory for attending the workshop. Find more info about registration on the LREC-COLING 2024 website: https://lrec-coling-2024.org/ Workshop description Human evaluation plays a central role in NLP, from the large-scale crowd-sourced evaluations to the much smaller experiments routinely encountered in conference papers. Yet there is growing unease about how human evaluations are conducted in NLP. Researchers have pointed out the less-than-perfect experimental and reporting standards that prevail (van der Lee et al., 2019 <https://aclanthology.org/W19-8643/>; Gehrmann et al., 2023 <https://www.jair.org/index.php/jair/article/view/13715/26927>), and that low-quality evaluations with crowdworkers may not correlate well with high-quality evaluations with domain experts (Freitag et al., 2021 <https://aclanthology.org/2021.tacl-1.87>). Only a small proportion of papers provide enough detail for reproduction of human evaluations, and in many cases the information provided is not even enough to support the conclusions drawn (Belz et al., 2023 <https://aclanthology.org/2023.insights-1.1>). The HumEval workshop (previously at EACL 2021, ACL 2022, and RANLP 2023) aim to create a forum for current human evaluation research and future directions, a space for researchers working with human evaluations to exchange ideas and begin to address the issues human evaluation in NLP faces in many respects, including experimental design, meta-evaluation and reproducibility. Programme Find the detailed programme on the workshop website: https://humeval.github.io/2024/programme Invited speakers Mark Diaz (Google Research) Sheila Castilho (ADAPT/DCU) Organising Committee Simone Balloccu, Charles University, CZ Anya Belz, ADAPT Centre, Dublin City University, Ireland Rudali Huidrom, Dublin City University, Ireland Ehud Reiter, University of Aberdeen, UK João Sedoc, New-York University Craig Thomson, ADAPT Centre, Dublin City University, Ireland For questions and comments regarding the workshop please contact Simone Balloccu at balloccu(a)ufal.mff.cuni.cz and humeval.ws(a)gmail.com. -- Kind regards, Simone Balloccu.

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NeTTT’2024 Call for Last minute results’ submissions
by Tharindu Ranasinghe 06 May '24

06 May '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 (https://nettt-conference.com/) Call for ‘Last minute results’ submissions In view of the special track of the NeTTT'24 event on Future of Translation Technology in the Era of LLMs and Generative AI and the latest dynamic developments with LLMs, we would like to call on researchers and users/companies to submit ‘‘Last minute results” of ongoing studies in the form of short 4-to-page submissions (The conference will not consider and evaluate abstracts only). The idea is to fast-track the reviewing process for these submissions so that the results presented at the event are as up-to-date as possible. The presentations can be either in oral or poster format. Submission deadline: 5 June 2024 Notification: 12 June 2024 Submission is done via the Softconf START conference management system at https://softconf.com/n/nettt2024. We invite the authors to comply with the Springer format, following the templates: * LaTeX<https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…>, * Overleaf<https://nettt-conference.com/wp-content/uploads/2024/03/Overleaf_Springer_C…>, * Word<https://nettt-conference.com/wp-content/uploads/2024/03/Word_splnproc2311.p…>. Registration Conference registration is open on https://nettt-conference.com/fees-registration/ Venue The conference will take place at Conference Hotel Cherno More<https://www.chernomorebg.com/en/conference-centre.html>, Varna, situated only 200 m away from the fine sandy Black Sea beach. Further information and contact details The conference website is https://nettt-conference.com<https://nettt-conference.com/> and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com<mailto:nettt2024@nettt-conference.com>

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Deadline extended and final CfP: Fifth Workshop on "Gender Bias in Natural Language Processing", August 16, Thailand, ACL
by Agnieszka Falenska 06 May '24

06 May '24

*Apologies for cross-posting* Fifth Workshop on Gender Bias in Natural Language Processing Bangkok, Thailand, on August 16, 2024 https://genderbiasnlp.talp.cat/ Final Call for Papers and Updated Dates Gender bias, among other demographic biases (e.g. race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. In addition this year we are organising a Shared Task on Gender Bias Machine Translation evaluation. Paper Submission Information Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the ACL 2024 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Updated dates: May 24, 2024: Workshop Paper Due Date June 21, 2024: Notification of Acceptance July 5, 2024: Camera-ready papers due August 16, 2024: Workshop Dates Keynote Speakers. Isabelle Augenstein, University of Copenhagen Hal Daumé III, University of Maryland and Microsoft Research NYC Organizers. Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Falénska, University of Stuttgart Seraphina Goldfarb-Tarrant, Cohere Debora Nozza, Bocconi University

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Postdoc position in NLP/CL at IT University of Copenhagen
by Anna Rogers 06 May '24

06 May '24

The Department of Computer Science at the IT University of Copenhagen is offering a Postdoc position in Natural Language Processing/Computational Linguistics*,* with a start date of *1 September 2024* or as soon as possible. The *application deadline is 31* *May** 2024.* Applications for the position can be submitted via ITU job portal <https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…> . *Proposed project title: *Efficiency and Robustness in Language Model Pre-training *Proposed project description.* Recent generative systems based on pre-trained language models are remarkably fluent, but this is achieved by extreme volumes of computation and training data. This means not only high energy costs, but also training on data that is problematic in various ways: copyright, harmful social stereotypes, non-representative sampling, misinformation, junk SEO texts, pornography, and contamination with NLP datasets used for evaluation. This project will create an ambitious resource for research on transfer learning, in which pre-training data is held constant, and evaluation takes into account how much similar data was observed in training, and in what ways it was similar. This resource will encourage the development of more efficient and robust approaches, since it will not be possible to improve benchmark scores by simply training on more data. The ideal candidate will have a strong background in Computational Linguistics/Natural Language Processing and experience developing NLP resources, as well as core skills in programming in Python and machine learning. The position is funded for 1 year, and it is our intention to find additional funding to extend this postdoc to a 2- or 3-year position. Besides research, the postdoc will gain experience with organization of an international workshop and shared task and build up their international network. For those interested in pursuing an academic career, it is also possible to: - gain experience in applying for external funding with professional support (either for the continuation of the postdoc’s own position, e.g. Marie Curie postdoctoral fellowship, or by contributing to PI’s grant proposals); - supervise Master students solo, and/or assist in supervising a PhD student; - undertake a formal teacher training program, including teaching guest lectures in the relevant data science courses at the ITU computer science department. The successful candidate will be a member of the national Pioneer Centre for Artificial Intelligence <https://aicentre.dk/>, a 5-university Danish research endeavor, and of the NLPnorth <https://nlpnorth.github.io/>research group at the IT University’s Computer Science Department. Both the centre and research group are highly international and well-funded, working on a broad range of research topics. The project will be supervised by Associate Professor Anna Rogers <https://annargrs.github.io/> (arog(a)itu.dk), to whom inquiries about the project can be directed. The candidates attending LREC/COLING 2024 are welcome to reach out and set up a meeting during the conference. -- Best regards, Anna Rogers Associate Professor IT University of Copenhagen http://annargrs.github.io/

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CLASSLA-Express Workshops in Macedonia, Bulgaria and Slovenia
by Taja Kuzman 06 May '24

06 May '24

* Dear all, This year, the CLASSLA knowledge centre for South Slavic languages <https://www.clarin.si/info/k-centre/>is organizing the CLASSLA-Express workshop series <https://www.clarin.si/info/k-centre/workshops/classla-express/>: six workshops in 5 countries designed to demonstrate the practical applications of the CLASSLA web corpora <https://arxiv.org/abs/2403.12721>in language research. The first two workshops have already taken place in Zagreb and Rijeka - see the report on how well it went <https://www.clarin.si/info/k-centre/workshops/#Report_from_the_first_two_st…>- and the registration for the May workshop in Belgrade is now closed as we have already reached the maximum capacity. We are very happy to announce that since the start of the series, we have added an additional stop to the workshop series: in June, we will also visit Sofia (Bulgaria) at the International CLaDA-BG Conference 2024 <https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen…>, which was arranged in collaboration with the CLaDa-BG <https://clada-bg.eu/>research infrastructure, a member of the CLASSLA knowledge centre. Registration for the next three CLASSLA-Express workshops in Skopje, Sofia and Ljubljana is now open! Here are the details on the workshops: * 4 June 2024 - CLASSLA-Express stop in Skopje, North Macedonia (Blaže Koneski Faculty of Philology, Ss. Cyril and Methodius University <https://flf.ukim.mk/>). Register here <https://docs.google.com/forms/d/e/1FAIpQLSehSj9Y0n8qL6VD4bpNihmelKyqE0lnCPE…>.More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Poziv-na-radionicu-CL…> * 26 June 2024 - CLASSLA-Express stop in Sofia, Bulgaria (International CLaDA-BG Conference 2024 <https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen…>). Register here <https://docs.google.com/forms/d/e/1FAIpQLScn7uWfMpmAB-f7vBtI72ULn-0Snt_Sivb…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Call-for-participatio…> * 18 September 2024 - CLASSLA-Express stop in Ljubljana, Slovenia (Language Technologies & Digital Humanities Conference 2024, University of Ljubljana <https://www.sdjt.si/wp/jtdh-2024-en/>). Register here <https://docs.google.com/forms/d/e/1FAIpQLSfJLKuEc-IqrXUre6Qi2JjOFnumpl2hXcz…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Call-for-participatio…> The workshops, which are free of charge, will provide hands-on experience in using the CLARIN.SI NoSketch Engine concordancer <https://www.clarin.si/ske/#open>to extract valuable insights on word meanings, usage, collocations, and grammatical patterns from Bulgarian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_bg>, Macedonian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>, and Slovene <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>corpora. The workshops are tailored for university students of South Slavic languages, linguists, lexicographers, language teachers, and digital humanities scholars. We warmly welcome you to join us at the nearest workshop location. For further details, please visit https://www.clarin.si/info/k-centre/workshops/classla-express/ <https://www.clarin.si/info/k-centre/workshops/classla-express/>. We would also like to kindly ask you to spread the word among researchers, students and other interested colleagues. Best regards, The CLASSLA-Express team: Ivana Filipović Petrović, Jelena Parizoska, Petya Osenova, Taja Kuzman and Nikola Ljubešić *

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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Last Call for Papers
by Announce 06 May '24

06 May '24

*** Last Call for Papers *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 17 May 2024 ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 17 May 2024 (AoE) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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Professorship (W3) in Language Technology, DFKI/Saarland University, Germany
by Dietrich Klakow 06 May '24

06 May '24

Saarland University, Germany, is a campus university with an international focus and a strong research profile. With numerous internationally respected research institutes on campus and dedicated support for collaborative projects, Saarland University is an ideal environment for innovation and technology transfer. The German Research Center for Artificial Intelligence ﴾DFKI﴿ is Germany's leading application‐driven research institute with a core technology transfer mission. DFKI is currently the world's largest research centre for artificial intelligence operated as a public‐private partnership. DFKI maintains close collaborative ties with national and international companies and is firmly rooted in the worldwide scientific AI landscape. To further strengthen this excellence in research and teaching, the Department of Language Science and Technology ﴾LST﴿ in collaboration with the German Research Center for Artificial Intelligence ﴾DFKI﴿ is inviting applications for the following position: Professorship (W3) in Language Technology (m/f/x; Reference: W2464) This position is a permanent public sector appointment ﴾equivalent to a 'full‐tenured professorship'﴿ starting at the earliest possible opportunity. We are looking for an experienced researcher in the field of language technology who has extensive knowledge of natural language processing and machine learning/AI methodologies. Experience with dialogue systems and reinforcement learning, the development of foundation models and/or trustworthy Artificial Intelligence is also desirable. In addition to holding a professorship at the university, the successful candidate will also be appointed as a scientific director at the German Research Center for Artificial Intelligence ﴾DFKI﴿ where they will head a research department. DFKI is an application‐driven research organization that is largely financed through external project funding. A demonstrated ability to attract significant external funding for research projects at the national and international level is therefore essential. We also expect candidates to have experience in interdisciplinary research and in collaborating with industrial partners. The Department of Language Science and Technology is internationally recognized for its collaborative and interdisciplinary research, and the successful candidate will be expected to contribute to relevant joint research initiatives. Language technologies are core elements of our study programmes at the M.Sc./M.A. and B.Sc./B.A. level and the person appointed will teach courses within these programmes. What we can offer you: The successful candidate will conduct world‐class research, lead their own research group at the university and perform teaching and supervisory duties at the undergraduate, graduate and doctoral levels. At DFKI, the person appointed will lead a research department with access to an extensive worldwide network of industrial and other research partners, facilitating research and impact at a scale that is otherwise difficult to achieve. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centres for language science and computational linguistics in Europe and offers a dynamic and stimulating research environment. The Department of Language Science and Technology ﴾LST﴿ employs about 100 research staff across nine research groups in the fields of computational linguistics, natural language processing, 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 Centre 1102 'Information Density and Linguistic Encoding' (http://www.sfb1102.uni‐saarland.de) and of the Research Training Group 'Neuroexplicit Models of Language, Vision, and Action' (https://www.neuroexplicit.org/), both of which involve close collaboration with DFKI. The LST department and the DFKI are both part of the Saarland Informatics Campus (SIC: https://saarland‐informatics‐campus.de/en), which brings together some 800 researchers and over 2000 students from 81 countries. SIC is a collaboration between Saarland University and world‐class research institutions on campus, which in addition to DFKI include the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems. Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Candidates must have experience in and an aptitude for academic teaching. They will have a PhD or doctorate in an appropriate subject and will have demonstrated a particular capacity for independent academic research, typically by having obtained an advanced, post‐doctoral research degree ﴾ Habilitation﴿ or by having published an equivalent volume of peer‐reviewed research or by having been appointed to a junior professorship or similar position. They will have a proven track record of leading their own research group and of acquiring external research funding. The successful candidate will be expected to actively contribute to departmental research and teaching. The language of instruction is English ﴾in the M.Sc. and M.A. programmes﴿ and German ﴾in the B.Sc./B.A. programmes﴿. We expect the successful candidate either to have sufficient proficiency to teach in both languages or to be willing to acquire this level of proficiency within an appropriate period. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a letter of application and CV/résumé (including your telephone number and email address) • a complete list of your academic publications • a complete list of external funding (stating own share if you were not the sole beneficiary) • your proposed research concept (2–5 pages) • your teaching concept (1 page) • copies of your degree certificates • complete copies of your five most significant publications • the names of three academic references (including email addresses), at least one of whom is not one of your previous academic supervisors. • If you hold a university degree from a foreign university, please provide proof of equivalence from Germany's Central Office for Foreign Education ﴾ZAB﴿ if available. If proof of equivalence has not been requested at the time of application, it must be submitted later upon request. Applications must be received no later than May 30, 2024. Please include the job reference number W2464 when you apply. Selected candidates will be interviewed. If you have any questions, please contact: crocker(a)lst.xn--unisaarland-nf3f.de. At Saarland University, we view internationalization as a process spanning all aspects of university life. We therefore expect members of our professorial staff to engage in activities that promote and foster further internationalization. Special support will be provided for projects that maintain 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. We welcome applications regardless of nationality, ethnic and social origin, religion/belief, age, sexual orientation and identity. 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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[CFP] 2nd CFP: ACLing 2024 || Sept 2024 ||Hybrid Conference|| Dubai, UAE
by Khaled Shaalan 06 May '24

06 May '24

Apologies for cross-postings! ** Please forward to anyone who might be interested ** ************************************************************************************ CALL FOR PAPERS Sixth International Conference on AI in Computational Linguistics (ACLing2024) September 21-22, 2024 (Hybrid Conference) Brochure: http://acling.org/wp-content/uploads/2024/05/ACLing24_CFP.pdf Publication: Procedia Computer Science by ELSEVIER ( https://www.sciencedirect.com/journal/procedia-computer-science) Website: https://acling.org/ ************************************************************************************ * IMPORTANT DATES * Paper submission deadline: 31 May 2024 (Extended and Final) * Notification of Acceptance: 21 June 2024 * Registration: 25 June 2024 * Camera ready version submission: 14 July 2024 * Conference Date: 20 – 21 September 2024‎ ************************************************************************************ INTRODUCTION With the recent advances in the field of Computational Linguistics (CL) brought on by rapid developments in neural models, the goal of this conference is to focus on the application of AI/ML in NLP and CL. The ACLing 2024 aims to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Computational Linguistics and NLP; a field that has become increasingly important. The scope of the conference encompasses the theory and practice of all aspects of AI/ML in Computational Linguistics. The British University in Dubai has been chosen to organize the ACLing2024 conference because it has a mission for establishing itself as a provider of world class scholarship, education and research. TOPICS OF INTEREST ACLing2024 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical and practical aspects, algorithms, and architectures of Natural Language Processing systems. Papers describing the creation of resources, as well as survey and discussion papers, are also welcomed. Topics of interest include, but are not limited to: * Large Language Models and their applications * Information Retrieval and Question Answering * Information Extraction * Linguistic Theories and Resources * Language Modeling * Speech and Multimodality * Machine Learning, Text Categorization, and Text Mining * Machine Translation * Multilinguality and Cross-linguality * NLP Applications * Segmentation, Tagging, and Parsing * Semantics * Sentiment Analysis and Opinion Mining * Web, Social Media and Computational Social Science * Natural Language Generation * Text Categorization and Topic Modeling * Text Mining * Language and Vision * AI applications in Computational linguistics HOW TO SUBMIT We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/. All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed by the program committee members. Evaluation criteria will include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. All the submissions should be submitted via EasyChair: https://easychair.org/my/conference?conf=acling2024 * Long papers: 8 pages including including figures, tables and references. * Short papers: 4 pages including including figures, tables and references. CONFERENCE ORGANIZERS * Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE * Prof. Dr. Samhaa R. El-Beltagy, Newgiza University, Egypt * INDEXING, RANKING, AND IMPACT (web sources): * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insig… * Scopus: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * CiteScore: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLingy by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html FURTHER INFORMATION & CONTACT DETAILS * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For further information, please contact us at ACLing2024(a)gmail.com

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