April 2024 - Corpora

Job offer: Position as research assistant in the DFG project "ENTAILab - Research Infrastructure and Innovation Laboratory" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologues or cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, two PhD positions for Research Assistants (m/f/d) (E 13 TV-G-U, 75% part-time) are available at the next possible date for a period of three years within the project ENTAILab - Research Infrastructure and Innovation Laboratory. The two positions can be divided into one full-time and one 50% position by mutual agreement. The project is part of the Infrastructure Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to establish a research-oriented infrastructure for new types of data in survey research. To this end, a method-oriented innovation laboratory for novel methods in survey research is to be set up, which will develop and test methods of machine learning and artificial intelligence in cooperation with the projects of the SPP. The subject of the methods to be developed is multimodal data and therefore not primarily or exclusively linguistic research data. The applicant is expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research infrastructures, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic university degree (Master's) in a relevant subject with a focus on information science. • Very good English language skills (C1). • Demonstrable experience with databases and methods of machine learning or artificial intelligence. • Extensive programming skills in Java, Python or similar. • Knowledge of virtualization technologies such as Docker, Kubernetes or similar. • An interest in social science issues is desirable. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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Position as research assistant in the DFG project " FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, a PhD position for a Research Assistant (m/f/d) (E 13 TV-G-U) is available at the next possible date for a period of three years within the project FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys. The project is part of the Infrastruc-ture Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to develop and test an interview model in the context of survey research, data analysis methods for automatic interview modelling and the development of avatar technologies for Virtual Reality (VR) and Augmented Reality (AR) -supported interviews in survey research. Finally, a virtualized embodied interviewer will be developed and tested on this basis. The applicant will be expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research methods, especially in the area of NLP and Virtual Reality, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic university degree (Master's) in a relevant subject with a focus on information science. • Very good English language skills (C1). • Demonstrable experience in the field of VR or AR systems and methods of machine learning or artificial intelligence. • Extensive programming skills in Java, Python or similar. • Extensive knowledge of C# and the use of Unity. • An interest in social science issues is desirable. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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Job offer: Position as research assistant in the DFG project " Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, a PhD position for a Research Assistant (m/f/d) (E 13 TV-G-U) is available at the next possible date for a period of three years within the project Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services. The project is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to develop a deep learning-based topic classification system using the Wikipedia category system and data from the Wikidata project, and to develop and test topic models based on this classification system for the automatic classification of texts, including those from the Leibniz Institute for the German Language (IDS) in Mannheim. The project will be carried out in cooperation with the IDS and the Saxon Academy of Sciences in Leipzig. The research will focus on state-of-the-art AI methods, in particular generative AI methods. The applicant is expected to engage in the project and actively participate in courses, workshops, and events of the project. We are looking for a highly qualified individual with a strong interest in research methods in the fields of AI and topic modeling as well as in the team-oriented development and application of innovative, research-oriented methods in the field of text modeling. With the Text-Technology Lab, in which the position will be embedded, we offer a research-oriented, internationally focused working environment in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic degree (Master's or equivalent) in computer science, computational humanities, computational linguistics or a field related to text modelling and AI. • Experience in the development and testing of NLP or AI methods. • Extensive programming knowledge in Java, Python or similar. • An interest in issues relating to information science is desirable but not essential. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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TrentoLogue - SemDial 2024: 2nd CfP
by Raffaella Bernardi 26 Apr '24

26 Apr '24

SemDial 2024 -- TrentoLogue The 28th Workshop on the Semantics and Pragmatics of Dialogue 11 and 12 September 2024 University of Trento, Italy https://tinyurl.com/3c7rracn TrentoLogue will be the 28th edition of the SemDial workshop series which aim to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. Keynote speakers Uri Hasson, Princeton University Azzurra Ruggeri, Technical University Munich and CEU, Vienna Bernardo Magnini, Fondazone Bruno Kessler (FBK) # IMPORTANT DATES: * *Long paper submissions: May 26, 2024* * Reviews due to: June 24, 2024 * Notification for long papers: July 1, 2024 * Short paper submissions: July 11, 2024 * Notification for short papers: July 17, 2024 * Camera Ready: August 26, 2024 * Registration Deadline: August 27, 2024 Note: All deadlines are 11:59PM UTC-12:00 ("Anywhere on Earth"). #TOPICS We welcome submissions with formal, computational, and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions, and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorization of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency, and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX or Word ( https://github.com/acl-org/acl-style-files) templates provided for ACL. Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2024 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site https://easychair.org/conferences/?conf=semdial2024trentolog Organizing Committee Raffaella Bernardi Vanessa Maria Caleca Jakub Szymanik Roberto Zamparelli Programme Committee Chairs Raffaella Bernardi, University of Trento Ellen Breitholtz, University of Gothenburg Giuseppe Riccardi, University of Trento TrentoLogue is endorsed by SIGdial and SIGsem. ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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Call for Papers: Industry Track at EMNLP 2024
by dpreotiucpie＠bloomberg.net 26 Apr '24

26 Apr '24

Industry Track @ The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) Hyatt Regency Miami Hotel, Miami, Florida (United States) 12 - 14 November 2024 *Website:* https://2024.emnlp.org/calls/industry_track/ *Submission Link:* https://openreview.net/group?id=EMNLP/2024/Industry_Track *Submission Deadline*: 18 July 2024 ==== Goal ==== Language technologies and their applications are an integral and critical part of our daily lives. The development of many of these technologies trace their roots to academic and industrial research laboratories where researchers invented a plethora of algorithms, benchmarked them against shared datasets and perfected the performance of these algorithms to provide plausible solutions to real-world applications. The EMNLP 2024 Industry Track aims to highlight this mutual influence of language technology in academia and industry, which has significantly contributed to the proliferation of industrial applications. The track provides the opportunity for researchers, engineers, practitioners and users to meet and discuss the latest language technologies methods as deployed in a real-world setting and aims to be the premier forum for knowledge sharing across the boundary between academia and industry. We acknowledge the unique difficulties encountered when adapting language technologies for building novel and robust real-world applications as the journey from theoretical research to practical deployment is fraught with new challenges. These range from the technical aspects of system deployment and optimizing for efficiency, to making informed design choices or methodological considerations of incorporating human feedback and oversight. To provide a forum to address these multifaceted issues, we are seeking submissions that not only delve into research but also demonstrate the application of systems in real-world scenarios, irrespective of whether they involve proprietary data. Contributions are invited across all spectrums of language technologies and systems, with a special emphasis on innovations and implementations that hold relevance to real-world applications. We encourage submissions from both non-profit and for-profit sectors, with the understanding that the end-users of these systems extend beyond the NLP community. Please note that if submissions involve proprietary data, there is no requirement to make this data available. ============= Topics of Interest ============= The EMNLP 2024 Industry Track provides the opportunity to highlight the key insights and new research challenges that arise from the development and deployment of real-world applications using language technologies. Relevant areas include: **System design, efficiency, maintainability and scalability** of real-world applications, with topics in alphabetical order including, but not limited to: - Benchmarks and methods for improving the latency and efficiency of systems - Continuous maintenance and improvement of deployed systems - Efficient methods for training and inference - Enabling infrastructure for large-scale deployment - Human-in-the-Loop approaches to application development - Implementation at speed, scale or low-cost - System combination **Novel applications and use cases**, with topics in alphabetical order including, but not limited to: - Best practices, lessons learned or a vision on deploying real-world applications - Case studies, from design to deployment - Description of an application or system - Design of application-relevant datasets - Development of methods under system constraints (model or data size) - Novel NLP applications **Methods for deployed systems**, with topics in alphabetical order including, but not limited to: - Ethics, bias, fairness and harmlessness - Interpretability - Interactive systems - Offline and online system evaluation methodologies - Online learning - Robustness ============ Important Dates ============ Paper submission deadline: July 18, 2024 Notification: October 1, 2024 Camera-ready version of papers due: October 15, 2024 Main conference: 12 - 14 November 2024 Note: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Following the ACL and ARR Policies for Review and Citation, updated in early 2024, there is no anonymity period requirement, e.g. one may upload the paper to arXiv at any time. ========== Submissions ========== Authors are invited to submit original papers that are not previously published, accepted to be published, or under consideration for publication in any other forum. Submissions will be reviewed in a double-blind manner and assessed based on their novelty, technical quality, potential impact, and clarity. Submissions to the EMNLP 2024 Industry Track should emphasize real-world implementations of natural language processing systems, the development of such systems, or provide insights based on real-world datasets with obvious industry impact. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable (though the data may be proprietary). Industry Track papers cannot exceed 6 pages in length; however, references do not count toward the page limit, nor do the following optional sections: acknowledgments (only in the final version), ethical considerations, and appendices. Visit https://2024.emnlp.org/calls/industry_track/ for more information. ================ Industry Track Chairs ================ Franck Dernoncourt (Adobe Research) Daniel Preoțiuc-Pietro (Bloomberg) Anastasia Shimorina (Orange) Contact: emnlp2024-industry-track(a)googlegroups.com

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FEVER shared task at EMNLP 2024
by A. Vlachos 26 Apr '24

26 Apr '24

Dear all, We are excited to announce our next shared task of the FEVER Workshop at EMNLP2024, which aims to evaluate the ability of systems to verify real-world claims with evidence from the Web. More explicitly: * Given a claim and its metadata, the systems must retrieve evidence that supports and/or refutes the claim, either from the Web or from the document collection provided by the organisers. * Using this evidence, label the claim as Supported, Refuted given the evidence, Not Enough Evidence (if there isn't sufficient evidence to either support or refute it) or Conflicting Evidence/Cherry-picking (if the claim has both supporting and refuting evidence). * A response will be considered correct only if both the label is correct and the evidence adequate. As evidence retrieval evaluation is non-trivial to perform automatically, the participants will asked to help evaluate it manually to assess the systems fairly. To learn more about the task and our baseline implementation, read our paper AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web<https://proceedings.neurips.cc/paper_files/paper/2023/hash/cd86a30526cd1aff…>. Key dates: * Challenge Launch: April 2024 * Training/Dev Data Release: April 2024 * Testing Begins: June 30, 2024 * Submission Closes: July 15, 2024 * Results Announced: July 18, 2024 * System Descriptions Due for Workshop: August 15, 2024 * Winners Announced: November 15 or 16, 2024 (7th FEVER Workshop) For more information on the shared task, data and code to get started, visit https://fever.ai/<https://fever.ai/task.html>task<https://fever.ai/task.html>.html<https://fever.ai/task.html>. Feel free to contact us on our slack channel<https://join.slack.com/t/feverworkshop/shared_invite/zt-4v1hjl8w-Uf4yg~dift…> or via email: fever-organisers(a)googlegroups.com with any questions. Looking forward to your participation! -- The FEVER workshop organizers

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Important Update: KI 2024 Conference Abstract and Full Paper Submission Deadline Extended
by Janna Omeliyanenko 25 Apr '24

25 Apr '24

Dear KI 2024 Conference Participants, as the 47th German Conference on Artificial Intelligence (KI 2024) approaches, we have some exciting news to share! Extension of Abstract and Full Paper Submission Due to overwhelming interest and numerous requests, we are pleased to announce that the deadline for abstract and full paper submissions has been extended. This extension provides you with additional time to refine your research and contribute to the vibrant discussions at KI 2024. Here are the revised submission deadlines: • Abstract Submission: New deadline is *May 3rd*, 2024 • Full Paper Submission: You now have until *May 12th*, 2024 to submit your full papers. Summary of Already Accepted Papers at other AI-Conferences as Extended Abstracts We are delighted to inform you that the deadline for submitting summaries of papers already accepted at other AI conferences, as extended abstracts, has been set for *June 2nd*. We encourage all researchers, academics, and industry professionals interested in artificial intelligence to take advantage of this opportunity. KI 2024 is a premier German AI conference that brings together experts from various domains, fostering collaboration and knowledge exchange. For more details about the conference program, venue, and submission guidelines, please visit the official KI 2024 website <https://www.informatik.uni-wuerzburg.de/ki24/> ( https://www.informatik.uni-wuerzburg.de/ki24/). Thank you for your continued support, and we look forward to your valuable contributions at KI 2024! Best regards, KI 2024 Team

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[CIKM-2024] Call for Industry Day Papers
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-industry-day-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) 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. We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘24 Call for Papers are used in an industrial setting. Possible topics include how machine learning is put to use in practical scenarios, how user behavior can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimized, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Key Dates -------------------------- * Submissions Due: June 20th, 2024 * Notifications: July 16, 2024 * Camera ready for abstracts: August 8, 2024 (All deadlines are at 11:59 pm AOE) The Industry Day of CIKM ’24 will be held on Monday 21st Oct 2024 in Boise, Idaho, USA. -------------------------- Topics of Interest -------------------------- Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to: * Innovative approaches used in deployed systems and products * System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects * Metrics and measurement techniques used to understand performance of production systems * Practical challenges such as data, privacy, integrity, scale, regulation, etc. * Domain specific challenges and niche focuses * Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners We encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Paper Submissions -------------------------- Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template Submissions should include: * Title and abstract * Speaker's bio * Relevance to above themes and CIKM topics * CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations. * Speakers will be asked to confirm their presence at the conference if their submission is accepted. Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=cikm2024 The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceedings. Each presentation will be 15-20 minutes long including Q&A. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Industry Day chairs: cikm2024-industry [at] easychair [dot] org Ilaria Bordino, UniCredit, Italy Udayan Khurana, IBM Research, USA Marc Najork, Google DeepMind, USA

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[CIKM 2024] 2nd Call for AnalytiCup Competition Proposals
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-analyticup-competition-proposals/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== CIKM 2024 AnalytiCup is an open competition including compelling data challenges aimed at members of the industry and academia interested in information and knowledge management. The challenges will be rolled out progressively and last for several weeks. The final solutions will be presented at CIKM 2024 AnalytiCup which is to be held in conjunction with the CIKM conference during October 2024. -------------------------- Key Dates -------------------------- * Proposal due: May 31 2024 * Notification: June 7 2024 * Competition Kickoff: June 24 20224 * Competition Ends: August 30, 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Proposals Submissions -------------------------- We invite proposals from practitioners across industry and academia who are interested in the areas of information retrieval, databases, and knowledge management. The best fit proposal should include a well-motivated goal with a positive social impact, a novel and challenging task, a fair setup with stable evaluation approach, and adequate amount of real-world data for the competition. * A well-motivated goal: A goal of the proposed competition should be solving a challenging real-world problem at the same time impacting the research and other communities positively. A good competition is where the output of the competition should lead to a greater good of everyone, such proposals are encouraged. * A challenging task: The task should be challenging in the sense that there is enough room for improvement from the basic solutions, and novel ideas are required to succeed in the competition. At the same time the task should be manageable in about 2 months’ time. * A fair setup: The organizers should guarantee the availability of the data and the confidentiality of the test set. The evaluation metrics should be both meaningful for the application in-hand and statistically sound for the objective comparison. The baseline should be established to show that non-trivial results can be achieved. * A real-world dataset: A proposal should clearly explain what data will be provided for competition and the source of the data. Also, explain how/why the provided data is sufficient for the competition. A proposal should cover all the important details such as dates, submission and evaluation of results, etc. and describe the competition rules clearly. Please provide following details with your proposal: * Title: The title of your challenge. * Problem Description: Describe the problem clearly in detail. Explain the importance of the problem and its impact. Discuss different scenarios for the problem with its challenges and limitations. Share the simple data samples and explain the data clearly. If the proposed competition includes more than one track, please describe each track clearly and show unique value for each track. * Evaluation: Describe how you plan to evaluate the submission. Select the evaluation method which is fair and statistically robust. * Suggested Participants: Provide a list of suggested participants in the challenge. * Timeline. Dates for expected start of the competition, user registration, team formation, submission, evaluation, and notification. * Awards. Specify the type and form of the awards you want to share with the winners. * Host information: Names, affiliations, email addresses, and short biographies of the organizers. -------------------------- Chairs Contact Information -------------------------- For more information, contact the AnalytiCup Chairs at: CIKM2024-analyticup [at] easychair [dot] org Vachik Dave, Walmart Global Tech Carl Yang, Emory University

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[CIKM-2024] 2nd Call for PhD Symposium papers
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-phd-symposium/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== We are excited to invite Ph.D. students in databases (DB), information retrieval (IR), and knowledge management (KM) to submit their research proposals for the PhD Symposium at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024). The conference will take place at the Boise Centre in Boise, Idaho, USA, from October 21 to 25, 2024. The PhD Symposium is designed to provide a supportive environment where doctoral students can present their ongoing research, receive feedback from experienced researchers, and engage with peers at similar stages of their doctoral journey. This event aims to foster discussions on research questions, methodologies, and preliminary results, contributing to the student’s doctoral research progression. CIKM 2024 is deeply committed to improving the field by making the research community more diverse, equitable, and inclusive. We highly encourage women and students from other underrepresented demographic groups to submit their work. -------------------------- Key Dates -------------------------- * Submission Deadline: 17 June 2024 * Acceptance Notification: 16 July 2024 * Camera-ready Version Due: 8 August 2024 * Doctoral Consortium: 25 October 2024 -------------------------- Symposium Objectives -------------------------- * Feedback and Guidance: Offer a platform for doctoral students to present their research and receive constructive feedback from the CIKM community’s senior researchers. * Community Building: Help participants network with other doctoral students and researchers, facilitating knowledge exchange and potential collaborations. * Insight into Career Paths: Through panel discussions and networking sessions, provide insights into career opportunities post-PhD in academia and industry. * Prospective attendees should have written or be close to completing a thesis proposal (or equivalent). It is desirable that students are not so close to completing their Ph.D. that the event would have little impact on their work. Similarly, students should not be so early in their Ph.D. program that a concrete topic has not been chosen yet. We strongly advise students to discuss this criterion with their advisor(s) or supervisor(s) before submitting. Doctoral students who submit to the Symposium are allowed to have previously published their research. They are encouraged to submit full, short, or demo papers of their work to the CIKM 2024 conference and associated workshops. -------------------------- Topics of Interest -------------------------- We welcome submissions across the broad spectrum of AI, data science, databases, information retrieval, and knowledge management. Research with real-world social impact is particularly encouraged. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatiotemporal, (knowledge) graphs, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets, and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, conversational interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices, user studies) * Crowdsourcing (e.g., task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Fairness, accountability, transparency, and ethics (e.g., sociotechnical nature of information access systems, algorithmic fairness, transparency and explainability, misinformation and disinformation) -------------------------- Submission Guidelines -------------------------- PhD students interested in participating should submit a paper (up to 4 pages, including references) using the ACM camera-ready two-column template. Submissions are single-blind, should be solely authored by the student, and clearly state the Ph.D. supervisor(s) (“supervised by …”). The submitted paper should be discussed with the PhD supervisor(s) before submission. Submissions should cover the following aspects: * Problem: What research problem or question does your work address? * State of the Art: How does your work relate to existing research in CIKM-related fields (e.g., information retrieval, databases, machine learning, data mining)? * Approach: Your novel approach to addressing the problem. * Methodology: The methodology you use or plan to use, including evaluation strategies. * Results: Any preliminary results you have obtained. * Conclusion and Future Work: Your conclusions and future research directions so far. * Additionally, include a one-page appendix detailing: - Topics and questions you wish to discuss with mentors and peers. - A statement from your advisor(s) supporting your participation, describing the current status of your research, and providing an anticipated thesis completion date. -------------------------- Selection Procedure -------------------------- Candidates will be selected based on the potential of their research for future impact and their potential to benefit from participating in the Symposium. Submissions will be reviewed by the PhD Symposium Program Committee, comprising experienced researchers who will provide feedback and suggest future research directions. All accepted PhD Symposium papers (excluding the appendix) will be included in the main proceedings and available through the ACM Digital Library. If accepted, presenting the results at the PhD Symposium is mandatory. -------------------------- Symposium Format -------------------------- The symposium will include presentations by the Ph.D. students, plenary discussions, one-to-one mentorship sessions, and panel discussions focusing on career paths post-PhD. -------------------------- Student Travel Support -------------------------- Students are highly encouraged to apply for student travel support from CIKM. Application details will be available on the CIKM 2024 website. Students must apply for the support to be considered. -------------------------- Chairs Contact Information -------------------------- For more information, contact the PhD Symposium chairs at: CIKM2024-phdsymposium [at] easychair [dot] org Yanfang (Fanny) Ye (University of Notre Dame, US) Jiaxin Mao (Renmin University of China, China)

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