October 2023 - Corpora

21st International Conference on Software and Systems Reuse (ICSR 2024): First Call for Papers
by Announce 03 Oct '23

03 Oct '23

*** First Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: 12th February, 2024 AoE ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We invite submissions on new and innovative research results and industrial experience reports dealing with all aspects of software reuse within the context of the modern software development landscape. Topics include but are not limited to the following. 1 Technical aspects of reuse, including • Reuse in/for Quality Assurance (QA) techniques, testing, verification, etc. • Domain ontologies and Model-Driven Development • Variability management and software product lines • Context-aware and Dynamic Reuse • Reuse in and for Machine Learning • Domain-specific languages (DSLs) • New language abstractions for software reuse • Generative Development • COTS-based development and reuse of open source assets • Retrieval and recommendation of reusable assets • Reuse of non-code artefacts • Architecture-centric reuse approaches • Service-oriented architectures and microservices • Software composition and modularization • Sustainability and software reuse • Economic models of reuse • Benefit and risk analysis, scoping • Legal and managerial aspects of reuse • Reuse adoption and transition to software reuse • Lightweight reuse approaches • Reuse in agile projects • Technical debt and software reuse 2 Software reuse in industry and in emerging domains • Reuse success stories • Reuse failures, and lessons learned • Reuse obstacles and success factors • Return on Investment (ROI) studies • Reuse in hot topic domains (Artificial Intelligence, Internet of Things, Virtualization, Network functions, Quantum Computing, etc.) We welcome research (16 pages) and industry papers (12 pages) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: • Omit all authors’ names and affiliations from the title page • Do not include the acknowledgement section, if you have any, in the submitted paper • Refer to your own work in the third person • Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing your identity Both research and industry papers will be reviewed by members of the same program committee (check the website for details). Proceedings will be published by Springer in their Lecture Notes for Computer Science (LNCS) series. An award will be given to the best research and the best industry papers. The authors of selected papers from the conference will be invited to submit an extended version (containing at least 30% new material) to a special issue in the Journal of Systems and Software (Elsevier). More details will follow. IMPORTANT DATES • Abstract submission: January 22, 2024, AoE • Full paper submission: January 29, 2024, AoE • Notification: March 8, 2024, AoE • Camera Ready: March 22, 2024, AoE • Author Registration: March 22, 2024 AoE ORGANISATION Steering Committee • Eduardo Almeida, Federal University of Bahia, Brazil • Goetz Botterweck, Lero, University of Limerick, Ireland • Rafael Capilla Sevilla, Universidad Rey Juan Carlos, Spain • John Favaro, Trust-IT, Italy • William B. Frakes, IEEE TCSE committee on software reuse, USA • Martin L. Griss, Carnegie Mellon University, USA • Oliver Hummel, University of Applied Sciences, Germany • Hafedh Mili, Université du Québec à Montréal, Canada • Nan Niu, University of Cincinnati, USA • George Angelos Papadopoulos, University of Cyprus, Cyprus • Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs • Achilleas Achilleos, Frederick University, Cyprus • Lidia Fuentes, University of Malaga, Spain

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Fully funded PhD position in Multilingual Natural Language Processing (ÚFAL, Charles University, Prague)
by Jindrich Libovicky 03 Oct '23

03 Oct '23

We seek a candidate for a fully funded PhD position in Multilingual Natural Language Processing (NLP) at the Institute of Formal and Applied Linguistics (ÚFAL), Charles University, Prague. This opportunity offers the chance to work alongside Jindřich Libovický on an innovative project focused on enhancing multilingual language representations by fostering language neutrality and expanding language coverage. The prospective PhD thesis topics include: * Investigating the encoding of cultural aspects of meaning, such as moral values, in language representations, including methodologies to promote cultural awareness in multilingual NLP systems. * Improving zero- or few-shot cross-lingual transfer between languages with and without using parallel text data. * Developing new subword tokenization methods that will be more suitable for cross-lingual alignment than current statistical heuristics. The specific research topic is open for negotiation, allowing you to contribute your unique ideas and interests. ÚFAL boasts a vibrant community at the forefront of cutting-edge natural language processing research. You will have ample opportunities for collaboration and knowledge exchange with esteemed researchers, particularly the groups led by Ondřej Bojar, Daniel Zeman, Pavel Pecina, Zdeněk Žabokrtský, and Jan Hajič. Charles University is the premier institution in Czechia, attracting exceptional talents from both the local and international academic spheres. To apply for this opportunity, kindly submit the following documents to <surname> at ufal dot mff dot cuni dot cz: * A compelling cover letter introducing yourself and explaining your interest in the position. * An up-to-date CV highlighting your academic achievements and relevant experience. * A concise research plan addressing your past, current, and future research interests. The names and contact details of two references who can provide insights into your qualifications and potential. Fluency in English is essential, and knowledge of Czech is not required. While candidates with a strong background in natural language processing and machine learning are preferred, we also welcome applicants with diverse academic backgrounds. Please ensure that your application reaches us by October 15, 2023. The expected starting date for the position is March 1, 2024. Thanks, Jindřich Libovický ------ Charles Univeristy, Institute of Formal and Applied Linguistics Malostranské náměstí 25 118 00 Praha Czech Republic Email: <my_surname> at ufal dot mff dot cuni dot cz Web: https://ufal.mff.cuni.cz/jindrich-libovicky

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JADT 2024: Call for Papers
by Serge Heiden 03 Oct '23

03 Oct '23

Dear Colleagues, We are glad to announce the call for papers of JADT 2024, 11th International Conference on the Statistical Analysis of Textual Data, that will be held in Brussels (Belgium), from June 25 to 27, 2024 (organised by the by the SeSLA – Séminaire des Sciences du Langage of the UCLouvain Saint-Louis, Brussels LASLA, with the collaboration of the LASLA – Laboratoire d’Analyse statistique des Langues anciennes of the University of Liege). This biennial conference, which has constantly been gaining importance since its first occurrence in Barcelone (1990), is open to all scholars and researchers working in the field of textual data analysis; ranging from lexicography to the analysis of political discourse, from information retrieval to marketing research, from computational linguistics to sociolinguistics, from text mining to content analysis. After the success of the previous meetings (http://lexicometrica.univ-paris3.fr), the three-day conference in Brussels will continue to provide a workshop-style forum through technical paper sessions, invited talks, and panel discussions. The conference website is https://jadt-2024.sciencesconf.org/?lang=en. *Conference topics* The themes of interest of the conference concern the application of statistical models and tools in the following domains: • Textometry, Statistical Analysis of Textual Data • Exploratory Textual Data Analysis • Corpus and Quantitative Linguistics • Natural Language Processing • Text Corpora Encoding • Statistical Analysis of Unstructured and Structured Data • Text Categorisation, Fuzzy Classification and Visualization • Information Retrieval and Information Extraction • Text Mining, Web Mining, Semantic Web • Stylometry, Discourse analysis • Software for Textual Data Analysis • Machine Learning for Textual Data Analysis • Multilingual and parallel corpora *Important dates* • Title and Abstract (max 20 rows): November 30, 2023 • First Version of Paper (Full-text): February 1, 2023 • Notification to Authors and opening of the registration: March 1, 2024 *Contacts* For further information or enquiries, jadt-2024-slb(a)uclouvain.be Hoping to see your active participation in the conference, we send you our best regards Anne Dister Dominique Longrée -- Dr. Serge Heiden, slh(a)ens-lyon.fr, https://www.textometrie.org ENS de Lyon / UMR IHRIM 5317

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Invitation to participate in the challenge Multimodal Understanding of Smells in Texts and Images (MUSTI) @ MediaEval 2022
by ali hürriyetoglu 03 Oct '23

03 Oct '23

Dear all, We are offering a task on Multimodal Understanding of Smells in Texts and Images (MUSTI) within the MediaEval benchmark on the detection of smell-oriented relations in historical images and historical texts in English, French, German, and Italian. Our focus is on determining whether an image and text refer to the same smell source(s) and what are the smell sources that make this pair related. The data sets contain several thousand pairs of images and texts annotated by native speakers who are experts in olfactory information processing. This is the second iteration of MUSTI. We are adding a zero-shot task this year. Please refer to the following publications for an overview [1] and baselines [2] for more information. Registration to participate is now open, and submissions will be due in late November (the deadline for submission to be adjusted). You will have the chance to present your work at the 14th Annual MediaEval Workshop 1-2 February 2024, which is collocated with MMM 2024 in Amsterdam, the Netherlands, with remote participation also possible. More information can be found on MUSTI: https://multimediaeval.github.io/editions/2023/tasks/musti/ MediaEval: https://multimediaeval.github.io/editions/2023/ MMM: https://mmm2024.org We would like to invite you to participate in this task. Please let us know if you have any questions. We are looking forward to hearing from you! Best regards, Ali Hürriyetoğlu (on behalf of organizing committee) [1] Hürriyetoğlu, A., Paccosi, T., Menini, S., Mathias, Z., Pasquale, L., Kiymet, A., ... & van Erp, M. (2022). MUSTI-Multimodal Understanding of Smells in Texts and Images at MediaEval 2022. In Proceedings of MediaEval 2022 CEUR Workshop. URL: https://cris.fbk.eu/retrieve/a8af3795-9055-4cee-8465-f4194a05c5d5/paper9634… [2] Akdemir, K., Hürriyetoğlu, A., Troncy, R., Paccosi, T., Menini, S., Zinnen, M., Christlein, V. (2022). Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER. In Proceedings of MediaEval 2022 CEUR Workshop. URL: https://cris.fbk.eu/retrieve/6112053b-b228-41e9-b763-c33acc876da9/paper6505…

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White paper and Case Study for legal literacies regarding cross-border corpora building
by heather froehlich 02 Oct '23

02 Oct '23

Dear all, In August 2022, the UC Berkeley Library and Internet Archive were awarded a grant from the National Endowment for the Humanities (NEH) to study legal and ethical issues in cross-border text and data mining (TDM). The project, entitled Legal Literacies for Text Data Mining – Cross-Border (“LLTDM-X”), supported research and analysis to address law and policy issues faced by U.S. digital humanities practitioners whose text data mining research and practice intersects with foreign-held or -licensed content, or involves international research collaborations. Information in this email is culled from their blog post announcement ( https://buildinglltdm.org/2023/10/02/wrapping-up-our-neh-funded-project-to-… ) In early 2023, we hosted a series of three online round tables with U.S.-based cross-border TDM practitioners and law and ethics experts from six countries. The round table conversations were structured to illustrate the empirical issues that researchers face, and also for the practitioners to benefit from preliminary advice on legal and ethical challenges. Upon the completion of the round tables, the LLTDM-X project team created a hypothetical case study that (i) reflects the observed cross-border LLTDM issues and (ii) contains preliminary analysis to facilitate the development of future instructional materials. We also charged the experts with providing responsive and tailored written feedback to the practitioners about how they might address specific cross-border issues relevant to each of their projects. This project lead to two significant outcomes: *1: Case study* The Project Team developed a hypothetical case study reflective of “typical” cross-border LLTDM issues that U.S.-based practitioners encounter. The CASE STUDY <https://docs.google.com/document/d/1KUK9HoNrLwEMcV_lNDKjxSnH3ipvhUWU2jbJj2g…> examines needs and concerns regarding cross-border copyright, contracts, and privacy & ethics variables across two distinct paradigms: first, a situation where U.S.-based researchers perform all TDM acts in the U.S., and second, a situation where U.S.-based researchers engage with collaborators abroad, or otherwise perform TDM acts in both U.S. and abroad. <https://docs.google.com/document/d/1KUK9HoNrLwEMcV_lNDKjxSnH3ipvhUWU2jbJj2g…> *2: White paper *The project team developed a WHITE PAPER <https://docs.google.com/document/d/1KR0sXEg3M2eJDV0ZvZDafv-6J2XY2lA9vF9GHYz…> providing a comprehensive description of the project, including origins and goals, contributors, activities, and outcomes. Of particular note are several project takeaways and recommendations, which they hope will help inform future research and action to support cross-border text data mining. This is a particularly US-centric perspective on an important topic, but there was significant input from legal experts across the world, including: - Andrew Charlesworth, University of Bristol (privacy) - Juan Carlos Fernández-Molina, Universidad de Granada (licensing) - Sean Fiil-Flynn, American University Washington College of Law (copyright) - Lucie Guibault Dalhousie University (copyright, licensing) - Heidi McKee, Miami University of Ohio (ethics) - Argyri Panezi, IE Law School & Stanford University (privacy) - James Porter, Miami University of Ohio (ethics) - Matthew Sag, Emory University School of Law (copyright) - Ben White, Bournemouth University (copyright) - Fernando Esteban de la Rosa, Universidad de Granada (licensing) - João Quintais, University of Amsterdam (copyright) - Ryan Calo, University of Washington (privacy) While I understand this may not be of interest to all on the corpora-list, I do hope this can provide some useful starting points for those of us worried and/or stymied by the copyright question in their research, especially for those of us with collaborators or research interests that exist beyond the USA. Thank you, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Publication of the LASLA and LASLA CoNLL-U corpus
by Passarotti Marco Carlo (marco.passarotti) 02 Oct '23

02 Oct '23

Dear all, We are happy to announce that the LASLA Latin corpus has been published Open Access under a CC-BY-NC-SA 4.0 license. The portion of the LASLA corpus published comprises ca 1.7 million tokens of works from the Classical period, manually annotated with the following information: lemma, Part-of-Speech, morphological features, partial syntactic information, and metadata. The LASLA has ongoing annotation projects, whose results will be uploaded to the Dataverses when they are finalised. We hope to provide a service to the community focusing on Latin linguistics and Latin literary studies, as well as to serve the most recent NLP trends. The corpus can be accessed in three Dataverses, each containing one specific format. We recommend using the “Tree View” to have an idea of what files can be found in the Dataverse. * DAT and APN (resp. https://doi.org/10.58119/ULG/27VZID and https://doi.org/10.58119/ULG/QJJ0SA) are published with detailed documentation on the codes used and all the annotation choices implemented by the LASLA across the years. We hope that such documentation can support an optimal exploitation of the data by external researchers. * BPN files (https://doi.org/10.58119/ULG/49UQNU), which were previously shared with Data Transfer Agreements with external partners. Beyond documentation purposes, this Dataverse also provides the original version on which the CoNLL-U format was based (see below) The LASLA files can be exploited via (free) online interfaces: Opera Latina<http://cipl93.philo.ulg.ac.be/OperaLatina/> (for which an account can be requested by contacting Lauren Simon, email L.Simon(a)uliege.be<mailto:L.Simon@uliege.be>), which enables structured searches through the files; HyperbaseWeb<http://hyperbase.unice.fr/hyperbase/> (Latin bases), for which you find documentation here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…> and here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…>, and that does not require an account. HyperbaseWeb allows complex statistical queries to be carried out. Following the Data Transfer Agreement for BPNs, an intense collaboration with the LiLa ERC project<https://lila-erc.eu/> started. The output of this collaboration is the following: * The LASLA corpus is linked to the LiLa Knowledge Base and can be queried, jointly with all the other resources linked, via the LiLa Interactive Search Platform<https://lila-erc.eu/LiLaLisp/> and SPARQL<https://lila-erc.eu/sparql/> endpoint. The triples of the linking are published openly here. * The LiLa team has converted the BPN files into CoNLL-U files, enriching the annotation with the URIs of tokens and lemmas as they are found in the LiLa Knowledge Base. This version of the corpus can be found on Zenodo<https://doi.org/10.5281/zenodo.5961377> and Github<https://github.com/CIRCSE/LASLA>. We hope that this collaboration will trigger many others, with other partners enriching and providing new exploitation pathways for the LASLA corpus. For the moment, have fun! With kind regards, The LASLA and LiLa teams Prof. Marco C. Passarotti Computational Linguistics Index Thomisticus Treebank https://itreebank.marginalia.it/ ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994) CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html [cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan] [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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First CFP: Special issue on ‘The AI Interface: Designing for the Ideal Machine-Human Experience’ - Computers in Human Behavior
by Tony Russell-Rose 02 Oct '23

02 Oct '23

First CFP: Special issue on ‘The AI Interface: Designing for the Ideal Machine-Human Experience’ - Computers in Human Behavior The AI Interface: Designing for the Ideal Machine-Human Experience In this call, we are looking to expand on our understanding of the psychology of design, into the way in which we deliberate and design for AI interfaces such as chatbots, robotics, IoT, AI assistants, and more. Artificial intelligence (AI) and machine learning (ML) are transformative technologies that organizations everywhere are investing heavily in. AI has the ability to replicate tasks that require human intelligence utilizing probabilistic outcomes based on existing real-world data to predict future outcomes. ML uses large amounts of data to create and validate decision logics often mimicking biological neuron signals such as in deep learning or natural language processing (NLP). No-code tools allow business analysts to make ML predictions even without ML experience. In this special issue we evaluate the role of AI in Human Perception and Inferences. We are looking to expand how to design for the ideal machine-human experience, essentially interfaces that AI is incorporated within. Guest editors: Aparna Sundar asundar(a)uw.edu Karen Machleit k.machleit(a)uc.edu Udo Kruschwitz Udo.Kruschwitz(a)ur.de Tony Russell-Rose truss003(a)gold.ac.uk Special issue information: User perception can vary in several ways due to individual differences, environmental factors and cultural differences. All this impacts user experiences. User inferences are mental processes that allow individuals to draw conclusions, make judgments and generate new knowledge based on the information they are exposed to. Both perception and inferences influence the ultimate user experience. In AI, design of systems that are transparent, intuitive, and align with the users’ needs and expectations is vital. With the explosion of technological investment and innovation in this domain, the need for research is heightened. This is more so the case from a design and product development standpoint. User experience and research is essential to bridge the interface between AI and users. There is more to user experience in terms of user mental models, trust and transparency, in terms of: how psychology can influence the design of the machine-human interface, personalization and adaptability of AI assistants, and more. This call aims to address that gap. As an example, one of the most critical aspects of interacting with AI is the language that AI uses in messaging, or in persuasion attempts. We know very little about the psychology of AI experience design. Research in the way marketers communicate to consumers indicate that there is a robust effect of message tone (Sundar & Cao, 2018 & Sundar & Paik, 2017), repetition of messaging (Sundar, Kardes & Wright, 2015), language structure and categorization (Schmitt & Zhang, 1998). While scholars have established the anthropomorphic relationship of individuals with AI assistants (Uysal, Alavi, & Benzencon, 2022), how individuals react or respond to AI needs more investigation. Toward this end, this call aims to bridge the cross discipline of communication, marketing and judgement and decision making. Research in this area is aimed to amplify how humans perceive communication, especially when claims come for AI assistants or sources that are not perceived to be human. This call aims to mobilize articles that explore considerations in the evolution of AI and ML in human behavior. Very specifically, we seek articles that bring out complexities of AI/human interactions, possible human perceptions, and learnings to improve ML and inferences on both the human and machine side that can transform technologies meaningfully. Given the role of AI and ML in the digital evolution of computers, this special issue emphasizes the human response, or psychology toward transformative digital technologies. Some areas that AI influences human perception and inferences are: 1. Machine-Human Interface: Nature of anthropomorphic communication in the machine-human Interface (Schmitt & Zhang, 1998; Uysal, Alavi & Benzencon, 2022) 2. User inferences as it influences user experience: AI uses sensemaking to make meaning of the language humans use to the communicate with. (Cabrera et. al., 2023). Articles on how mental models of users communicating with AI are formulated, AI assistant modality etc. 3. Consumer perception and user behavior: Humans react to the tangible aesthetics of product (Sundar, Cao & Machleit, 2020) How consumers behave when presented with information from AI assistants 4. Personalization and Adaptability: Gao and Liu (2022) note that the way in which personalization through the customer journey is important. Research exploring the role of personalization and adaptability of the AI assistant 5. Transparency and Explainability: Sources that AI assistant get their information from 6. Clarity of Communication: Style, tone, language all make a difference in perception (Sundar & Cao, 2018) and extensions to research to AI assistant communication 7. Trust in AI Technologies: Trust is a multi-faceted construct in interpersonal relationships, and research investigating how to boost trust in AI are needed, what Trustworthy AI (Kaur et. al 2022), is and how companies can build this in the AI development To extend the literature and understanding on how designers and product developers can improve AI assistants or user experiences, this call invites a multi-disciplinary investigation into the psychology of designing influencing AI experiences. The psychology of design encompasses many domains such as visual design, language, auditory consideration and other perceptual cues that ultimately impact behavior. This call therefore invites researchers to submit original papers that address the following areas: 1. Considerations in AI design: The various forms that AI assistants can take, considerations of situation, where best to locate AI and how best it can help the user and others. 2. AI Interactions: This can be multi-modal, visual, haptic, auditory or other manifestations of AI in improving the lives of users. Ultimately research that investigates the use and reactions to AI in the IoT and other forms and others. 3. Experience and learnability: Research papers that examine the different learning models of AI and the way in which information that is factually mature versus grounded in commonsense and has the most implications for users. Research investigating effectiveness of AI maturity and others. 4. Machine and Human interaction: Research extending the literature on Anthropomorphism to the AI domain and others. 5. Use of AI in specific domains: The implications of AI assistants are far reaching and can influence evaluative considerations from analysis of graphs, dashboards, e-commerce, to large statistical models, to writing, or transcribing etc. Research highlighting the nuances, challenges and how to overcome these and others. A multi-disciplinary approach to research, with methodology that is relevant to the research questions is welcome. The paper should have strong implications on how current day AI design can be improved and how designers and product managers can think through human computer interaction to create incremental and improved experiences with AI. Manuscript submission information: All interested researchers are invited to submit your manuscript at: https://www.sciencedirect.com/journal/computers-in-human-behavior/about/cal… The Journal’s submission system is open for receiving submissions to our Special Issue. To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important to select “VSI: Ideal Machine-Human Interface” when you reach the “Article Type” step in the submission process. Full manuscripts will undergo double-blind review as per the usual procedures for this journal. Deadline for manuscript submissions: Dec 31st, 2023 Inquiries related to the special issue, including questions about appropriate topics, may be sent electronically to the Executive Editor Dr. Aparna Sundar [asundar(a)uw.edu). Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues Important Dates: Submission Deadline: Dec 31st 2023 Acceptance Deadline: Mar 31st 2024 Expected Publication Date: end of 2024 References: Cabrera, Á. A., Tulio Ribeiro, M., Lee, B., Deline, R., Perer, A., & Drucker, S. M. (2023). What did my AI learn? how data scientists make sense of model behavior. ACM Transactions on Computer-Human Interaction, 30(1), 1-27. Gao, Y., & Liu, H. (2022). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, (ahead-of-print), 1-18. Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2022). Trustworthy artificial intelligence: a review. ACM Computing Surveys (CSUR), 55(2), 1-38. Schmitt, B. H., & Zhang, S. (1998). Language structure and categorization: A study of classifiers in consumer cognition, judgment, and choice. Journal of Consumer Research, 25(2), 108-122. Sundar, A., & Cao, E. S. (2018). Punishing politeness: The role of language in promoting brand trust. Journal of Business Ethics, 164, 39-60. Sundar, A., Cao, E., & Machelit, K. A. (2020). How product aesthetics cues efficacy beliefs of produce performance. Psychology & Marketing, 37(9), 1246-62. Sundar, A., Kardes, F. R., & Wright, S. A. (2015). The influence of repetitive health messages and sensitivity to fluency on the truth effect in advertising. Journal of Advertising, 44(4), 375-387. Sundar, A., & Paik, W. (2017). Punishing politeness: Moderating role of belief in just world on severity. Association for Consumer Research, 45, 903-905. Uysal, E., Alavi, S., & Bezençon, V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 50(6), 1153-1175. Keywords: Artificial intelligence interface, UX, design

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Call for Workshop Proposals
by Announce 02 Oct '23

02 Oct '23

*** Last Call for Workshop Proposals *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: October 13, 2023 AoE ***) CAiSE is a well-established, highly visible conference series on Advanced Information Systems (IS) Engineering. It covers all relevant topics in the area, including methodologies and approaches for IS engineering, innovative platforms, architectures and technologies, and engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting workshops in related fields. Workshops are intended to focus on particular topics and provide ample room for discussions of new ideas and developments. CAiSE 2024, the 36th edition of the CAiSE series, invites proposals for workshops to be held in conjunction with the main conference, related to the CAiSE topics, covering new emerging topics and targeting innovative papers in special focus areas. Prospective workshop organisers should specify whether they plan an event with a presentation-oriented track, a discussion-oriented track, or both. Presentation-oriented track This track focuses on accepted papers with presentations followed by Q&A sessions, akin to conferences. The proceedings of these workshops are intended to be published in a joint volume in the Springer LNBIP series. Submissions must  conform to the Springer LNCS/LNBIP format and should  not exceed 12 pages. According to the Springer standards, the overall acceptance rate cannot exceed 45%-50%. Discussion-oriented track This track emphasizes discussions facilitated by paper presentations revolving around novel ideas and early-stage research. Since the main criterion for paper acceptance in such workshops is relevance and potential for raising discussion, they are not expected to have their proceedings in the Springer LNBIP volume. The edition of a joint proceedings volume next to the LNBIP one for the discussion-oriented track is underway. Proceedings shall be submitted to CEUR-WS.org for online publication. Details on this aspect will be provided separately. Proposal submission Workshop proposals should be submitted via EasyChair at the following address:  https://easychair.org/conferences/?conf=caise2024  Please select the Author role and the CAiSE 2024 Workshops track. Prior contact with the workshop chairs (caise2024-workshops(a)easychair.org) is encouraged. The organizer(s) of approved workshops will be responsible for advertising their workshop, eliciting high-quality submissions, organizing the reviewing process of their workshop’s papers according to the principles and guidelines of CAiSE, and collecting camera-ready copies of accepted papers (verifying that they comply with the formatting rules). Organizers (including co-organizers) are expected to attend their entire workshop. Detailed instructions for workshop proposers The proposal (up to 1000 words) should cover the following points: • Workshop title, duration (1 day or 2 days), preferred date (3-4 June 2024) • Workshop type (presentation-oriented or discussion-oriented, or both). • Information on the organizers (PC chairs, other organizers who will be present at the workshop or are otherwise involved, including the person responsible for web presence and communication). Please include names, addresses, and affiliations, indicating the main responsible person. The submission should include a one-paragraph biographical sketch for each organizer, describing relevant qualifications and experience. Please specify at least one PC chair. PC chairs will not be allowed to submit papers to the workshop, but other organizers (who will have no oversight over the review process) are encouraged to do so. • Purpose: What are the main goals of the workshop? Please list the workshop topics. How does the focus of the workshop differ from the main conference? How does the focus of the workshop differ from other potential CAiSE events? (Proponents are advised to look at the workshops and working conferences held at CAiSE 2022 and CAiSE 2023 and differentiate your scope from theirs.) • Organization of the workshop: Specify the type of contributions, distribution into sessions, type of sessions, etc. Mention if you plan to have any keynote speaker (please note that the conference organization will not cover fees, travel expenses, accommodation and registration costs of keynote speakers). Include any special requirements regarding infrastructure and room layout. • Tentative list of PC members. • An estimate of the number of papers to be accepted, and the number of attendees. If applicable, short information on previous editions of the workshop series (this should include submission, acceptance, and attendance information). Short information on your plans for advertising your workshop and making it highly visible. Services provided by CAiSE • EasyChair installation for the management of the workshop submissions (each organizer will be made chair of their own workshop). • Publication of papers in an LNBIP volume for presentation-oriented tracks, and in a CEUR-WS.org online volume for discussion-oriented tracks. • One free workshop-only registration if more than 10 people are registered for the workshop. Organizers willing to attend the whole event (main conference) will have to register for the conference at their own expense. • Local organizational infrastructure and administrative support (registration, badges, refreshments, beamers, screens, etc.). In particular, all venue issues (rooms, meals and catering, social dinner, etc.) as well as the management of the registrations and the financing/administrative issues will be handled by the CAiSE Organization Board and are not under the responsibility of the workshop organizers. • Advertisement of the workshop on the CAiSE 2024 homepage and mailings. Please note that the workshop may be canceled if the number of registrations is less than 10. Also, in the case of workshops with topics that are similar, two or more workshops may be suggested to merge together. Key Dates • Submission of workshops proposals (via Easychair): October 13th, 2023 (AoE) • Workshop notifications: November 3rd, 2023 • Workshop paper submission (tentative, recommended for presentation-oriented tracks): March 6th, 2024 (AoE) • Workshop paper decision (recommended for presentation-oriented tracks): April 3rd, 2024 • Camera-ready due (recommended for presentation-oriented tracks): April 22nd, 2024 • Author registration for workshops papers: April 22nd, 2024 • Workshops: June 3rd-4th, 2024 Contact For more information and inquiries, please feel free and welcome to contact the Workshop Chairs at the following address: caise2024-workshops(a)easychair.org

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Call for online participation: ACM CIKM 2023, Birmingham, UK, October 2023
by Ingo Frommholz 02 Oct '23

02 Oct '23

Call for online participation: ACM CIKM 2023, Birmingham, UK, October 2023 https://cikm2023.org Registration is still open for online participation in the ACM Conference on Information and Knowledge Management (CIKM) in Birmingham, UK on October 23-25, 2023. The conference will contain numerous presented papers of high quality, applied and theoretical research findings. CIKM has a strong tradition of speakers devoted to emerging areas of database management, IR, AI, NLP, and related fields. An Industry Day will bring together practitioners and academics. We are very happy to present the following keynote speakers: Chirag Shah (University of Washington): Generative AI and the Future of Information Access Yulan He (King’s College, London): Interpretable Natural Language Understanding Steffen Staab (University of Stuttgart & University of Southampton): Knowledge Graphs for Knowing More and Knowing for Sure Please see https://uobevents.eventsair.com/cikm2023/keynote-speakers for details. A list of accepted papers can be found at https://cikm2023.org/accepted-papers. Online Registration: https://cikm2023.org/registration-rates Please visit https://cikm2023.org for more information. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval, and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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EACL 2024: Call for System Demonstrations
by sungho.jeon＠h-its.org 02 Oct '23

02 Oct '23

* EACL 2024: Call for System Demonstrations Link: https://2024.eacl.org/calls/demos/ * Important Dates Direct paper submission deadline: Monday 20 November 2023 Notification of acceptance: Monday 22 January 2024 Camera-ready papers due: Monday 5 February 2024 Main Conference: Monday – Wednesday 18–20 March 2024 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”) ============================ * Topics of Interest Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for Computational Linguistics research - Software for analysis, demonstration, or evaluations - Software supporting learning or education - Tools for data visualization and annotation - Development tools - Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2024. * Submission Guidelines All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference. Use this link to make your submission: https://softconf.com/eacl2024/demo-track/ Submissions must include the following: 1. A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). See examples of recently accepted demo papers in ACL 2023, EACL 2023, EMNLP 2022, ACL 2022 and NAACL 2022. The papers must be no more than six (6) pages long, plus unlimited extra space for an optional ethics/broader impact statement and also unlimited space for references. Please use the official ACL style files. Accepted papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Any papers that do not follow the official style guidelines and page limits will be automatically rejected. 2. A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. To ensure accessibility for deaf or hard-of-hearing viewers, we encourage authors to caption videos prior to submission. A video of a user interacting with the system can also be used, but should be self-explanatory. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, Vimeo, or another website and include the link in your paper. If authors wish to prevent their videos from appearing on search engines, we recommend to mark them as unlisted (e.g., instructions on how to do this on YouTube). In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited. ============================ * Submission Policy The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before. Authors submitting more than one demo paper to EACL 2024 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2024 will be rejected by all tracks. * Reviewing Policy Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. * Ethics Policy Authors are required to honour the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work. Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. * Best Demo Award We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference. * Contact Information If you have questions that are not answered after reading this information, please email the program co-chairs at eacl2024demos(a)googlegroups.com . * Demo Track Co-chairs Nikos Aletras (University of Sheffield) Orphée De Clercq (LT3, Ghent University)

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