March 2024 - Corpora

Senior Research Scientist (m/f/x/d) position offered by Genaios APPLICATION FORM
by ainhoa.avila＠genaios.ai 25 Mar '24

25 Mar '24

Dear list members, APPLY HERE: https://genaios.factorialhr.es/apply/senior-research-scientist-m-f-x-d-54945 LINK TO THE JOB AD: https://genaios.factorialhr.es/job_posting/senior-research-scientist-m-f-x-… I am thrilled to announce you an exciting opening at Genaios: we are now looking for a Senior Research Scientist (m/f/x/d) for our Research team in Valencia (Spain). In this position, you will play a key role in the team and will have the opportunity to participate and lead innovative projects in different NLP areas: fact-checking, text similarity analysis, plagiarism detection, opinion mining, author profiling, etc. Your work will attempt to improve the company's products and be aligned to customers needs. In addition, at Genaios we will also encourage you to explore new research ideas and to publish in blogs, forums, reputable research conferences and journals. Join our team and you will have the opportunity to work with NLP researchers and data scientists with an international background and an important research publication record. If you’re passionate about solving scientific problems and creating deep learning models using cutting edge technology, this is the role for you! Your job will be -Collaborate and lead the different research NLP projects -Mentor and support your junior colleagues on research-related matters -Designing and implementing machine and deep learning-based NLP workflows and algorithms in alignment with the business needs -Deliver scalable and maintainable solution using the latest cutting-edge technology -Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of NLP and deep learning -Constant personal development in new technologies -Publish articles in blogs, forums, and prestigious NLP/AI conferences and journals -Represent the company in the research community Your profile -Bachelor’s degree in computer science, telecommunication technologies, or similar -Master’s degree in NLP, deep learning, or similar -+5 years experience as a researcher in NLP and deep learning-related tasks -Fluency in English -Experience in publishing research material -Advanced python programming skills -Experience in at least one of the following tasks: fact-checking, text similarity analysis, plagiarism detection, or author profiling -Advanced knowledge of one of the following technologies: keras, tensorflow, pytorch, or JAX -Experience with text classification, sequence labeling, model selection, evaluation and result analysis -Knowledge of the following technologies: git and docker -Knowledge of, and/or experience with API and web service development in python; agile methodologies; cloud computing solutions; cloud devops services (Azure, AWS, or Google cloud) -Respectfulness; teamwork skills; organizational and planning skills; leadership skills; communication skills; creativity; proactivity; problem solving; autonomy Preferred Skills and Experience -PhD in natural language processing, deep learning, or similar -+2 years experience as a researcher in industry -Experience mentoring and supervising research staff -Spanish language is a plus -Knowledge of the following technologies: kubernetes -Knowledge of multilingual and multi-task classification; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…) -Knowledge of the following technologies: bash, ssh, linux terminal, SQL, FastAPI, swagger, and NVIDIA Triton Inference Server About the interview process -The first interview will be with HR, to inform you about the position and determine your suitability for the role -The second interview will be with the Chief Scientific Officer (CSO), to share information about the team and talk about your past experience and skills -The final interview will be with the CSO and another Research colleague. In this interview you will have the opportunity to show us everything you know. We will delve into technology, NLP and deep learning. We will also conduct a science-related coding test. Finally, we will present you some practical scenarios so that you can give us your best solution or proposal What we offer -A well-funded early-stage startup with the opportunity to build from the ground-up -Possibility to publish in blogs, fora, and reputable research conferences and journals -A company laptop plus access to GPU servers to conduct your research -Great people to work with in an international environment -Work on Innovative projects and solutions -Training in new technologies and domains -Flexible working time -28 vacation days -Home Office possibility -Chance to develop and grow with the company -Out-of-office events -...and to be a part of something that is going to change the way we use AI forever!

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Senior Research Scientist (m/f/x/d) position offered by Genaios
by ainhoa.avila＠genaios.ai 25 Mar '24

25 Mar '24

Dear list members, I am thrilled to announce you an exciting opening at Genaios: we are now looking for a Senior Research Scientist (m/f/x/d) for our Research team in Valencia (Spain). In this position, you will play a key role in the team and will have the opportunity to participate and lead innovative projects in different NLP areas: fact-checking, text similarity analysis, plagiarism detection, opinion mining, author profiling, etc. Your work will attempt to improve the company's products and be aligned to customers needs. In addition, at Genaios we will also encourage you to explore new research ideas and to publish in blogs, forums, reputable research conferences and journals.  Join our team and you will have the opportunity to work with NLP researchers and data scientists with an international background and an important research publication record. If you’re passionate about solving scientific problems and creating deep learning models using cutting edge technology, this is the role for you! Your job will be -Collaborate and lead the different research NLP projects -Mentor and support your junior colleagues on research-related matters -Designing and implementing machine and deep learning-based NLP workflows and algorithms in alignment with the business needs -Deliver scalable and maintainable solution using the latest cutting-edge technology -Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of NLP and deep learning -Constant personal development in new technologies -Publish articles in blogs, forums, and prestigious NLP/AI conferences and journals -Represent the company in the research community Your profile -Bachelor’s degree in computer science, telecommunication technologies, or similar -Master’s degree in NLP, deep learning, or similar -+5 years experience as a researcher in NLP and deep learning-related tasks -Fluency in English -Experience in publishing research material -Advanced python programming skills -Experience in at least one of the following tasks: fact-checking, text similarity analysis, plagiarism detection, or author profiling -Advanced knowledge of one of the following technologies: keras, tensorflow, pytorch, or JAX -Experience with text classification, sequence labeling, model selection, evaluation and result analysis -Knowledge of the following technologies: git and docker -Knowledge of, and/or experience with API and web service development in python; agile methodologies; cloud computing solutions; cloud devops services (Azure, AWS, or Google cloud) -Respectfulness; teamwork skills; organizational and planning skills; leadership skills; communication skills; creativity; proactivity; problem solving; autonomy Preferred Skills and Experience -PhD in natural language processing, deep learning, or similar -+2 years experience as a researcher in industry -Experience mentoring and supervising research staff -Spanish language is a plus -Knowledge of the following technologies: kubernetes -Knowledge of multilingual and multi-task classification; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…) -Knowledge of the following technologies: bash, ssh, linux terminal, SQL, FastAPI, swagger, and NVIDIA Triton Inference Server About the interview process -The first interview will be with HR, to inform you about the position and determine your suitability for the role -The second interview will be with the Chief Scientific Officer (CSO), to share information about the team and talk about your past experience and skills -The final interview will be with the CSO and another Research colleague. In this interview you will have the opportunity to show us everything you know. We will delve into technology, NLP and deep learning. We will also conduct a science-related coding test. Finally, we will present you some practical scenarios so that you can give us your best solution or proposal What we offer -A well-funded early-stage startup with the opportunity to build from the ground-up -Possibility to publish in blogs, fora, and reputable research conferences and journals -A company laptop plus access to GPU servers to conduct your research -Great people to work with in an international environment -Work on Innovative projects and solutions -Training in new technologies and domains -Flexible working time -28 vacation days -Home Office possibility -Chance to develop and grow with the company -Out-of-office events -...and to be a part of something that is going to change the way we use AI forever!

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[CIKM 2024] - Call for Tutorials
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-tutorials/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. CIKM 2024 solicits proposals for both half and full-day tutorials from active and experienced researchers and practitioners covering topics relevant to CIKM. Areas of interest include information retrieval, knowledge management, data science, artificial intelligence, and other related areas of relevance to the CIKM community. We invite proposals for tutorials that target various levels of expertise and interests. We also welcome the submission of hands-on tutorials, for instance using notebooks that combine theoretical concepts with practical exercises. We encourage the submission of cutting-edge tutorials that cover advances in newly emerging areas. Each tutorial should cover a specific topic of interest in depth. The goal is to provide a self-contained overview of a topic, and then connect to state-of-the- art research and developments in the associated area of interest. For example, tutorials may cover an established sub-topic, introduce an emerging application in the area, or update the CIKM community on recent advances in related fields. Tutorials are expected to be presented in person. -------------------------- Key Dates -------------------------- * Tutorials proposal: 14 June 2024 * Tutorials notification: 5 July 2024 * Camera ready: 8 August 2024 * Tutorial day: 21 October 2024 (Monday) (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full-day, i.e., 6 hours plus breaks) * Abstract of up to 150 words. * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results – a CIKM tutorial is not meant to be a forum for promoting one’s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2023, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. The length of the whole proposal should be limited to 4 pages in the ACM proceedings template (double column). Instructions and suitable LATEX, Microsoft Word, and Overleaf templates are available from the ACM Website (use the “sigconf” proceedings template): ACM Primary Article Template. Please submit your tutorial proposal as a PDF file, choosing the “tutorial track” on the CIKM 2024 online submission system. Please note that the organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the CIKM 2024 conference proceedings. -------------------------- Selection Procedure -------------------------- The selection process will prioritize: * The ability of the tutorial to contribute to strengthening the foundations of CIKM-related research or to broaden the field to look at important new challenges and techniques. * Likely audience interest * The experience and skill of the presenters * The value of any materials released with the tutorial for the community. -------------------------- Chairs Contact Information -------------------------- For further information, please contact the Tutorial Chairs at: CIKM2024-tutorial [at] easychair [dot] org Dafna Shahaf, The Hebrew University of Jerusalem, Isreal Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA

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[CIKM 2024] - Call for Tutorials
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-tutorials/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. CIKM 2024 solicits proposals for both half and full-day tutorials from active and experienced researchers and practitioners covering topics relevant to CIKM. Areas of interest include information retrieval, knowledge management, data science, artificial intelligence, and other related areas of relevance to the CIKM community. We invite proposals for tutorials that target various levels of expertise and interests. We also welcome the submission of hands-on tutorials, for instance using notebooks that combine theoretical concepts with practical exercises. We encourage the submission of cutting-edge tutorials that cover advances in newly emerging areas. Each tutorial should cover a specific topic of interest in depth. The goal is to provide a self-contained overview of a topic, and then connect to state-of-the- art research and developments in the associated area of interest. For example, tutorials may cover an established sub-topic, introduce an emerging application in the area, or update the CIKM community on recent advances in related fields. Tutorials are expected to be presented in person. -------------------------- Key Dates -------------------------- * Tutorials proposal: 14 June 2024 * Tutorials notification: 5 July 2024 * Camera ready: 8 August 2024 * Tutorial day: 21 October 2024 (Monday) (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full-day, i.e., 6 hours plus breaks) * Abstract of up to 150 words. * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results – a CIKM tutorial is not meant to be a forum for promoting one’s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2023, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. The length of the whole proposal should be limited to 4 pages in the ACM proceedings template (double column). Instructions and suitable LATEX, Microsoft Word, and Overleaf templates are available from the ACM Website (use the “sigconf” proceedings template): ACM Primary Article Template. Please submit your tutorial proposal as a PDF file, choosing the “tutorial track” on the CIKM 2024 online submission system. Please note that the organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the CIKM 2024 conference proceedings. -------------------------- Selection Procedure -------------------------- The selection process will prioritize: * The ability of the tutorial to contribute to strengthening the foundations of CIKM-related research or to broaden the field to look at important new challenges and techniques. * Likely audience interest * The experience and skill of the presenters * The value of any materials released with the tutorial for the community. -------------------------- Chairs Contact Information -------------------------- For further information, please contact the Tutorial Chairs at: CIKM2024-tutorial [at] easychair [dot] org Dafna Shahaf, The Hebrew University of Jerusalem, Isreal Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA

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[CIKM 2024] - Call for Workshops
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-workshops/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, machine learning, and knowledge management communities. We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics, or presenting practical applications on the many aspects of the data lifecycle (data acquisition, pre-processing, modelling, integration/aggregation, storage, analysis, and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference to be held in-person at Boise, Idaho, USA, from October 21-25, 2024. The workshops are planned to take place on 25 October 2024. -------------------------- Key Dates -------------------------- * Workshop proposal: 14 June 2024 * Workshop proposal acceptance notification: 5 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Please use the CIKM 2024 Workshop Proposal Template for your submission. Submit the proposal here through Easychair (https://easychair.org/my/conference?conf=cikm2024). Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, the likelihood of attracting enough participants, and the hosting capacity of the conference. -------------------------- Requirements for In-Person Activities -------------------------- The CIKM 2024 conference will be held in-person in Boise, Idaho, USA. To enhance the in-person experience, it is required for each workshop to at least plan for a subset of the organizers to be attending the conference and organizing the workshops in-person. -------------------------- Recommended Dates for Paper Submissions to the Workshops -------------------------- * Paper submission deadline: 29 July 2024: * Paper notification (highly desirable): 30 August 2024: * Workshop date: 25 October 2024: Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers. Note that the paper acceptance notification deadline should remain August 30 (or earlier), so authors of accepted papers still have at least a week to take advantage of Early-Bird Registration fees. Workshop papers will not be included in the ACM proceedings. Any decision on if and where proceedings are to be archived is left to the organizers. To help preserve the authors’ ability to submit a revised version of their paper to a conference or journal, joining the volume is suggested to be left at the discretion of the authors. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Workshop Chairs at cikm2024-workshop [at] easychair [dot] org Vanessa Braganholo, Instituto de Computação Universidade Federal Fluminense, Brazil Yangqiu Song,Hong Kong University of Science and Technology, Hong Kong

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[CIKM 2024] - Call for Resource Papers
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-resource-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The resource track at CIKM 2024 provides a unique opportunity to researchers to share and highlight their latest technologies that enable intelligent decision-making, predictive analytics, and machine learning. -------------------------- Key Dates -------------------------- * Resource Papers abstract: 27 May 2024 * Resource Papers: 3 June 2024 * Resource Papers notifications: 16 July 2024 * Camera Ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We welcome submissions on all topics in the general areas of artificial intelligence, machine learning, data science, databases, information retrieval, and knowledge management. An ideal resource paper’s topics of interest include, but are not limited to, the following areas: * Data resources comprising a new and innovative dataset or protocol, or one created using novel methods and/or algorithms * Data resources labelled using novel and well-described annotation and/or crowdsourcing approaches * Software resources to support research on novel application domains or support novel evaluation or benchmark tasks * Software resources such as prototypes and services, open source frameworks, or tools and libraries which support computing, visualization, evaluation and other exploration tasks in data science, data engineering, or information & knowledge management -------------------------- Paper Submissions -------------------------- Recourse papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Supplementary material: It is allowed to cite supplementary materials including source code, videos, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the resource papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Resource track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. All papers should be submitted via Easychair: https://easychair.org/conferences/?conf=cikm24 Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. -------------------------- Authorship Policy -------------------------- Before paper submission, authors should carefully review ACM’s authorship policy, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-particip… At least one author of each accepted paper must register to present the work at the conference. -------------------------- Guidelines and review rubric for Resource papers -------------------------- Papers presenting a dataset or a benchmark must publish the datasets and metadata using a dataset-sharing service (e.g., Zenodo, Datorium, Dataverse, or any other dataset-sharing service that indexes your dataset and metadata and increase the re-findability of the data) that provides a DOI for the dataset, which should be included in the dataset paper submission. Ethical considerations must be discussed. Authors are encouraged to include a description of how they intend to make their datasets FAIR. We would also encourage authors to consider addressing the questions covered in the Datasheets for Datasets recommendations. For papers detailing code resources, such as libraries, external tools, frameworks, etc., it is imperative that authors adhere to rigorous standards in code sharing and ethical considerations. Specifically, authors should ensure that their code resources are made publicly available through reputable, code-sharing platforms such as GitHub, GitLab, Bitbucket, or similar services that facilitate code access and enhance code reusability, thereby ensuring transparency and reproducibility. We advocate for the incorporation of best practices in code documentation and versioning, urging authors to provide comprehensive documentation covering code functionalities, dependencies, and potential limitations, fostering transparency and usability in research practices. The reviewing guidelines for the resource paper track will focus on the following criteria: * Novelty: - What is new about this resource? - Does the resource represent an incremental advance or something more dramatic? * Availability: - Is the resource available to the reviewer at the time of review? - Are there discrepancies between what is described and what is available? - Are the licensing/terms of use sufficiently open to allow most academic and industry researchers access to the resource? - If the resource is data collected from people, do appropriate human subjects control board (IRB) procedures appear to have been followed and included in the repo? * Utility: - Is the resource well documented? What level of expertise do you expect is required to make use of the resource? - Are there tutorials or examples? Do they resemble actual uses, or are they toy examples? - If the resource is data, are appropriate tools provided for loading that data? - If the resource is data, are the provenance (source, pre-processing, cleaning, aggregation) stages clearly documented? * Predicted Impact: - What CIKM research activity is enabled by the availability of this resource? - Does the resource advance a well-established research area or a brand new one? - Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned? - How large is the (anticipated) research user community? Will that grow or shrink in the next few years? -------------------------- Ethics of Resource Type Papers -------------------------- Resources are expected to be available as described, where “available” means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed not to use their reviews as an advocacy platform for these issues but to do what they can to help authors bring their resources to fruition. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the resource chairs at: CIKM2024-resources [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[CIKM 2024] - Call for Demo Papers
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-demo-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The demo track at CIKM 2024 provides a unique opportunity to share research ideas through prototypes. Accepted demo papers will be part of the main conference proceeding. -------------------------- Key Dates -------------------------- * Demo Papers abstract: 27 May 2024 * Demo Papers: 3 June 2024 * Demo Papers notification: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data mining, data management, information retrieval, and knowledge management. -------------------------- Paper Submissions -------------------------- Demo papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Authors should also prepare a 3 minutes long demonstration video, showcasing the main features of the system. A URL of the video (e.g., YouTube, Dropbox, etc.) should be included in the paper. Supplementary material: It is allowed to cite supplementary materials including source code, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the demo papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Demo track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. -------------------------- Guidelines and review rubric -------------------------- Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state-of-the-art in the CIKM topics of interest. Each submission must also make clear what the audience will experience during the demo, what kind of functionality is supported, user scenarios, interface and interaction options provided, and how it is compared with existing systems (if any). Submissions that are case studies should also explain the case being demonstrated. Demo papers that describe case studies from mature systems will also be evaluated on the relevance of the system and innovative features and functionalities that are being included in the demonstration. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Authorship Policy -------------------------- At least one author of each accepted paper must register to present the work at the conference. Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the Demo chairs at: CIKM2024-demo [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[ECAI-2024] Call for Nominations for the EurAI Dissertation Award
by luis.magdalena＠gmail.com 25 Mar '24

25 Mar '24

Nominations are now invited for the 2023 Artificial Intelligence Dissertation Award sponsored by EurAI, the European Association of Artificial Intelligence. Eligible are all doctoral theses in AI that were defended between December 2022 and December 2023 at a European university. Full information is available here: https://eurai.org/applications/dissertation-awards Deadline: 31 May 2024 The recipient of the award will be invited to give a talk at the 27th European Conference on Artificial Intelligence (ECAI), which will be held in Santiago de Compostela this October. Refer to https://www.ecai2024.eu for more information on the conference. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

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Corpus Linguistics Summer School 2024
by Akira Murakami 25 Mar '24

25 Mar '24

The Centre for Corpus Research at the University of Birmingham is pleased to announce that our Corpus Linguistics Summer School will take place fully online this year on 15–18 July, 2024. https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Attendance is open to all on a first-come-first-served basis upon completion of the registration process (including payment) through the university’s online shop linked from the above website. Please note that we are planning to hold next year's summer school in-person at the University of Birmingham. Therefore, individuals wishing to attend the summer school remotely are encouraged to take advantage of this year's online format. *Registration fee:* £80 *Speakers:* This year, our participants will have the pleasure to hear contributions by Joyce Kim <https://research.aston.ac.uk/en/persons/joyce-lim> (Aston University), as well as members of our local staff of corpus linguistics, including Edward Clay <https://www.birmingham.ac.uk/staff/profiles/languages/clay-edward>, Dagmar Divjak <https://www.birmingham.ac.uk/staff/profiles/languages/divjak-dagmar.aspx>, Jason Grafmiller <https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jack Grieve <https://www.birmingham.ac.uk/staff/profiles/elal/grieve-jack.aspx>, Nicholas Groom <https://www.birmingham.ac.uk/staff/profiles/elal/groom-nicholas.aspx>, Petar Milin <https://www.birmingham.ac.uk/staff/profiles/languages/milin-petar.aspx>, Akira Murakami <https://www.birmingham.ac.uk/staff/profiles/elal/murakami-akira.aspx>, Michael Oakes, Florent Perek <https://www.birmingham.ac.uk/staff/profiles/elal/perek-florent.aspx>, Adam Schembri <https://www.birmingham.ac.uk/staff/profiles/elal/schembri-adam.aspx>, Paul Thompson <https://www.birmingham.ac.uk/staff/profiles/elal/thompson-paul.aspx>, and Katharine Weetman <https://www.birmingham.ac.uk/staff/profiles/clinical-sciences/weetman-Katha…>, among others. Dawn Knight <https://profiles.cardiff.ac.uk/staff/knightd5> will be delivering the annual Sinclair Lecture on Monday, 15 July. *Programme:* Our Corpus Linguistics Summer School aims to equip participants with critical expertise in both the theory and practice of corpus-supported linguistic research. Over the course of four days, participants will be actively involved in two kinds of sessions. First, hands-on sessions will put the emphasis on the learning of practical skills for the purpose of extracting and analysing corpus data of various kinds, and the application of this knowledge to specific research projects. Second, participants will learn about current corpus research from our team. *Topics of sessions will include (this is a non-exhaustive list and subject to change):* - Analysing healthcare data using corpus linguistics - Analysing learner language - Behavioral Profile - Corpora and legal research - CQPweb - Fake news - Introduction to R - Phraseology - Sign language corpora - Statistics and readability - Tagging and parsing with spaCy - Topic models For more information and registration, please visit the website below: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Best regards, Akira -- Akira Murakami Assistant Professor Department of English Language and Linguistics University of Birmingham clsummerschool(a)contacts.bham.ac.uk

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The ReproHum 2024 Survey of NLP and ML researchers' experience and views of reproducibility
by e.reiter＠abdn.ac.uk 25 Mar '24

25 Mar '24

Dear Corpora list members, As part of the EPSRC UK ReproHum project, PI Prof. Anya Belz (DCU/Adapt & University of Aberdeen), Co-I Prof. Ehud Reiter (University of Aberdeen), RF Dr. Craig Thomson (DCU/Adapt & University of Aberdeen), we are performing a survey of NLP and ML researchers’ experience and views of reproducibility. We would like to hear from as many researchers as possible (NLP or ML), not just those who work on evaluation! If you completed a similar survey in 2022 then you can still complete this one, we are interested in the difference in your experience and views between then and now. We would be most grateful if you are able to spend 5-10 minutes taking part in the survey, it can be accessed via the below link: https://forms.gle/RshrHcvAXxAEEFj59 With thanks and apologies for cross-posting. Anya, Craig, and Ehud

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