Cher.e.s, collègues,
un poste d’enseignant-chercheur (MCF) en Sciences de l’information et de la communication est ouvert au concours lors de la campagne sychronisée 2024.
Le profil de poste "Mutations de l'information et de la communication scientifique » est disponible sur galaxie : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub…
La personne recrutée effectuera ses recherches au sein du laboratoire Geriico. Les enseignements s’effectueront au sein du département INFODOC de l’université de Lille.
Bien cordialement,
Amel Fraisse.
<>
Amel Fraisse
Maitresse de Conférences
Directrice Département INFODOC
Université de Lille - Département INFODOC - Laboratoire GERiiCO
amel.fraisse(a)univ-lille.fr <mailto:prenom.nom@univ-lille.fr> / https://pro.univ-lille.fr/amel-fraisse/ <http://www.univ-lille.fr/>
Domaine Universitaire de Pont de Bois - Villeneuve d'Ascq
Bât. 2 - bureau B2.467
T. +33 (0)3 20 41 69 38
[apologies if you received multiple copies of this call]
Dear colleagues and friends,
*We are pleased to release the 1st Call for Participation - LLMs4OL
Challenge collocated with The International Semantic Web Conference (ISWC
2024)*
*Overview:* LLMs4OL stands for "Large Language Models for Ontology
Learning." The LLMs4OL paradigm was first introduced in our research paper (
https://link.springer.com/chapter/10.1007/978-3-031-47240-4_22) published
in the ISWC 2023 main conference proceedings. In this context, we aimed to
test the readiness of LLMs to address the Ontology Learning (OL) task
w.r.t. three main subtasks: 1) Term Typing, 2) Type Taxonomy Discovery, and
3) Non-Taxonomic Relation Extraction. Therein our evaluations included
ontolgies from various knowledge domains, i.e. lexicosemantics (WordNet),
geography (GeoNames), biomedicine (NCI, MEDICIN, SNOMEDCT), and web content
types (schema.org). With the ISWC-LLMs4OL 2024 challenge, we aim to
catalyze community-wide engagement in validating and expanding the use of
LLMs in OL by releasing our evaluation datasets publicly in the community.
This initiative is poised to advance our comprehension of LLMs’ roles
within the Semantic Web, encouraging innovation and collaboration in
developing scalable and accurate OL methods.
More info on the task website: https://sites.google.com/view/llms4ol/
The LLMs4OL Challenge will be divided into two evaluation phases:
- Evaluation Phase 1: Few-shot Testing;
- Evaluation Phase 2: Zero-shot Testing
*Dates*
Training datasets available: March 30, 2024
Test data available (Task A): May 27, 2024
Evaluation ends (Task A): June 4, 2024
Test data available (Tasks B & C): June 5, 2024
Evaluation ends (Tasks B & C): June 18, 2024
Participant papers due: June 28, 2024
Notification to authors: July 19, 2024
Camera ready due: July 30, 2024
ISWC 2024, Baltimore, Maryland, USA: 11-15 November 2024
*Task Organizers*
Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and
Technology - Germany)
Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology
- Germany)
Sören Auer (TIB Leibniz Information Centre for Science and Technology -
Germany)
We look forward to having you on board!
*Contact:* llms4ol.challenge [at] gmail.com
First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
(NLPAICS’2024)
Lancaster University, Lancaster, United Kingdom
29-30 July 2024
https://www.nlpaics.com
*** Submission Deadline Extended to 22 April 2024 ***
Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. . In particular, there has been a growing interest in employing AI methods in different Cyber Security applications.
In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the First International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) serves as a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information.
Conference topics
The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to:
## Societal and Human Security and Safety
- Content Legitimacy and Quality
o Detection and mitigation of hate speech and offensive language
o Fake news, deepfakes, misinformation and disinformation
o Detection of machine generated language in multimodal context (text, speech
and gesture)
o Trust and credibility of online information
- User Security and Safety
o Cyberbullying and identification of internet offenders
o Monitoring extremist fora
o Suicide prevention
o Clickbait and scam detection
o Fake profile detection in online social networks
- Technical Measures and Solutions
o Social engineering identification, phishing detection
o NLP for risk assessment
o Controlled languages for safe messages
o Prevention of malicious use of ai models
o Forensic linguistics
- Human Factors in Cyber Security
## Speech Technology and Multimodal Investigations for Cyber Security
- Voice-based security: Analysis of voice recordings or transcripts for security threats
- Detection of machine generated language in multimodal context (text, speech and gesture)
- NLP and biometrics in multimodal context
## Data and Software Security
- Cryptography
- Digital forensics
- Malware detection, obfuscation
- Models for documentation
- NLP for data privacy and leakage prevention (DLP)
- Addressing dataset “poisoning” attacks
## Human-Centric Security and Support
- Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting
- User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour
- Human supervision of technology for Cyber Security
## Anomaly Detection and Threat Intelligence
- Text-Based Anomaly Detection
o Identification of unusual or suspicious patterns in logs, incident reports or other textual data
o Detecting deviations from normal behaviour in system logs or network traffic
- Threat Intelligence Analysis
o Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats
o Extracting key information and indicators of compromise (IoCs) from unstructured text
## Systems and Infrastructure Security
- Systems Security
o Anti-reverse engineering for protecting privacy and anonymity
o Identification and mitigation of side-channel attacks
o Authentication and access control
o Enterprise-level mitigation
o NLP for software vulnerability detection
- Malware Detection through Code Analysis
o Analysing code and scripts for malware
o Detection using NLP to identify patterns indicative of malicious code
## Financial Cyber Security
- Financial fraud detection
- Financial risk detection
- Algorithmic trading security
- Secure online banking
- Risk management in finance
- Financial text analytics
## Ethics, Bias, and Legislation in Cyber Security
- Ethical and Legal Issues
o Digital privacy and identity management
o The ethics of NLP and speech technology
o Explainability of NLP and speech technology tools
o Legislation against malicious use of AI
o Regulatory issues
- Bias and Security
o Bias in Large Language Models (LLMs)
o Bias in security related datasets and annotations
## Datasets and resources for Cyber Security Applications
## Specialised Security Applications and Open Topics
- Intelligence applications
- Emerging and innovative applications in Cyber Security
## Special Theme Track - Future of Cyber Security in the Era of LLMs and Generative AI
We are excited to share that NLPAICS 2024 will have a special theme track with the goal of stimulating discussion around Large Language Models (LLMs), Generative AI and ensuring their safety. The latest generation of LLMs, such as CHATGPT, Gemini, LLAMA and open-source alternatives, has showcased remarkable advancements in text and image understanding and generation. However, as we navigate through uncharted territory, it becomes imperative to address the challenges associated with employing these models in everyday tasks, focusing on aspects such as fairness, ethics, and responsibility. The theme track invites studies on how to ensure the safety of LLMs in various tasks and applications and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
- Detection of LLM-generated language in multimodal context (text, speech and gesture)
- LLMs for forensic linguistics
- Bias in LLMs
- Safety benchmarks for LLMs
- Legislation against malicious use of LLMs
- Tools to evaluate safety in LLMs
- Methods to enhance the robustness of language models
## Submissions and Publication
NLPAICS welcomes high-quality submissions in English, which can take two forms:
-Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work.
-Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, negative results, system demonstrations, etc.
Note that the page limits mentioned above exclude additional pages for references, ethical considerations, conflict-of-interest statements, as well as data and code availability statements.
Papers must be anonymised to support double-blind reviewing.
Please submit your work as pdf using the following link: https://softconf.com/n/nlpaics2024/
Submission templates can be accessed here: LaTeX Overleaf, LaTeX , MS Office
Accepted papers, including both long and short papers, will be published as part of the same e-proceedings to be uploaded on ACL Anthology.
## Important dates
-Submissions due: 22 April 2024
-Reviewing process: 29 April-5 June 2024
-Notification of acceptance: 10 June 2024
-Camera-ready due: 1 July 2024
-Conference: 29-30 July 2024
## Keynote speakers
We are delighted to announce our already confirmed keynote speakers
Nigel Hardacre (Lancashire Constabulary)
Sevil Şen (Hacettepe University)
More keynote speakers will be listed in soon.
## Programme Committee
Members of the Programme Committee of NLPAICS’2024 are listed here.
## Venue
The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) will take place at Lancaster University and is organised by the Lancaster University UCREL NLP research group.
## Organisation
- Conference Chair
o Ruslan Mitkov (Lancaster University)
- Conference Programme Chairs
o Cengiz Acartürk (Jagiellonian University)
o Matthew Bradbury (Lancaster University)
o Mo El-Haj (Lancaster University)
o Paul Rayson (Lancaster University)
- Sponsorship Chair
o Saad Ezzini (Lancaster University)
- Publicity Chair
o Tharindu Ranasinghe (Aston University)
- Publication Chair
o Ignatius Ezeani (Lancaster University)
- Social Programme Chair
o Nouran Khallaf (Lancaster University)
## Registration
Conference registration is open on https://nlpaics.com/registration/
Early bird registration closes on 15 April 2024.
## Further information and contact details
The conference website is https://nlpaics.com and will be updated on a regular basis. For further information, please email info(a)nlpaics.com
Dr Tharindu Ranasinghe
Lecturer in Computer Science
School of Informatics and Digital Engineering
Birmingham, B4 7ET, UK
aston.ac.uk
The UKP Lab in Darmstadt, Germany, led by Iryna Gurevych and the recently founded INSAIT in Sofia, Bulgaria have several job openings:
*** Associate Research Scientists (PostDoc- or PhD-level) in AI and NLP ***
Are you an outstanding PhD candidate or Postdoc with a strong profile in Natural Language Processing, LLMs and AI? We have several openings as Associate Research Scientists at UKP Lab (Germany) and INSAIT (Bulgaria)!
We highly appreciate demonstrable engagement in open-source projects, communication skills in English and the ability to effectively cooperate with scientists of various interdisciplinary backgrounds. Prior experience with relevant areas of NLP and Machine Learning and strong engineering skills are a plus.
More information about the opening and the application process can be found here:
https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2024_associate…
Join our internationally recognized team, enjoy diverse opportunities for professional development, and conduct cutting-edge research! Application deadline: April 15th, 2024.
Please submit your application via the following form: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment. Please indicate which institute you are applying to.
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Prof. Dr. Iryna Gurevych
UKP Lab, Technical University Darmstadt, Germany
INSAIT, Sofia, Bulgaria
International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
Varna, Bulgaria, 3-6 July 2024
https://nettt-conference.com/
*** Submission Deadline Extended to 30 April 2024 ***
# The conference
The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024.
Continuing the tradition of the first edition of the NeTTT conference and HiT-IT events series, the objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures.
The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings.
# Conference topics
Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting. NeTTT’2024 will feature a Special Theme Track "Future of Translation Technology in the Era of LLMs and Generative AI".
The conference topics include but are not limited to:
## CAT tools
- Translation Memory (TM) systems
- NLP and MT for translation memory systems
- Terminology extraction tools
- Localisation tools
## Machine Translation
- Latest developments in Neural Machine Translation
- MT for under-resourced languages
- MT with low computing resources
- Multimodal MT
- Integration of MT in TM systems
- Resources for MT
## Technologies for MT deployment
- MT evaluation techniques, metrics and evaluation results
- Human evaluations of MT output
- Evaluating MT in a real-world setting
- Quality estimation for MT
- Domain adaptation
## Translation Studies
- Corpus-based studies applied to translation
- Corpora and resources for translation
- Translationese
- Cognitive effort and eye-tracking experiments in translation
## Interpreting studies
- Corpus-based studies applied to interpreting
- Corpora and resources for interpreting
- Interpretese
- Resources for interpreting and interpreting technology applications
- Cognitive effort and eye-tracking experiments in interpreting
## Interpreting technology
- Machine interpreting
- Computer-aided interpreting
- NLP for dialogue interpreting
- Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services)
## Emerging Areas in Translation and Interpreting
- MT and translation tools for literary texts and creative texts
- MT for social media and real-time conversations
- Sign language recognition and translation
## Subtitling
- NLP and MT for subtitling
- Latest technology for subtitling
## User needs
- Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology
- User requirements for interpreting and translation tools
- Incorporating human knowledge into translation and interpreting technology
- What existing translators’ (including subtitlers’) and interpreters’ tools do not offer
- User requirements for electronic resources for translators and interpreters
- Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed
## The business of translation and interpreting
- Translation workflow and management
- Technology adoption by translators and industry
- Setting up translation /interpreting / language provider company
## Teaching translation and interpreting
- Teaching Machine Translation
- Teaching translation technology
- Teaching interpreting technology
- Latest AI developments in the syllabi of translation and interpreting curricula
## Ethical issues in translation and technology
- Bias and fairness in MT
- Privacy and security in cloud MT systems
- Transparency and explainability of MT systems
- Environmental impact on MT systems
# Special Theme Track - Future of Translation Technology in the Era of LLMs and Generative AI
We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency.
The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
- Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMSs and Generative AI
- Generative AI and translation
- Generative AI and interpreting
- Augmenting machine translation systems with generative AI
- Domain and terminology adaptation with Large Language Models
- Literary translation with Large Language Models
- Improving Machine Translation Quality with Contextual Prompts in Large Language Models
- Prompt engineering for translation
- Generative AI for professional translation
- Generative AI for professional interpreting
# Keynote speakers
We are delighted to announce the NeTTT’2024 keynote speakers
- Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation
- Carla Parra Escartín (RWS Language Weaver)
# Tutorial (3 July 2024)
- Tharindu Ranasinghe (Aston University), Quality Estimation for Machine Translation
# Programme Committee
The Programme Committee of NeTTT’2024 is listed https://nettt-conference.com/26844-2/.
# Conference Chairs
- Ruslan Mitkov (Lancaster University)
- Gloria Corpas Pastor (University of Malaga)
# Programme Chairs
- Constantin Orasan (University of Surrey)
- Tharindu Ranasinghe (Aston University)
# Sponsorship Chair
- Vilelmini Sosoni (Ionian University)
# Publication Chair
- Maria Kunilovskaya (University of Saarland)
# Organising Committee
- Organising Committee of NeTTT’2024 is listed https://nettt-conference.com/organisers/
# Submissions and publication
NETTT’2024 invites the following types of submissions:
User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages.
Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required):
• (academic) full papers – describing original completed research. Allowed paper length: maximum 12 pages + unlimited references.
• (academic) work-in-progress papers/posters – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 7 pages + unlimited references.
• (academic) demo papers – describing working systems. Allowed paper length: maximum 5 pages + unlimited references. In addition to the papers, the authors will be expected to demonstrate the systems at the workshop.
The conference will not consider and evaluate abstracts only.
Each submission will be reviewed by three members of the Programme Committee. Submission is organised via Softconf START conference management system at https://softconf.com/n/nettt2024.
For submitting the papers, we invite the authors to comply with the Springer format, following the templates:
• LaTeX: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…,
• Overleaf: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…,
• Word: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192387….
The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers.
The final version of the accepted papers will be published in e-proceedings with assigned ISBN and DOI.
All accepted papers will be included in the conference e-proceedings which will be available at the conference website.
# Schedule
- Submission deadline: 30 April 2024
- Notification: 5 June 2024
- Final version due: 20 June 2024
All deadlines are valid for 23.59 Anywhere on Earth.
# Registration
Conference registration is open on https://nettt-conference.com/fees-registration/
The promotional early registration fee has been extended to 17 March 2024.
# Venue
The conference will take place at https://www.chernomorebg.com/en/conference-centre.html, Varna, situated only 200 m away from the fine sandy Black Sea beach.
# Further information and contact details
The conference website is https://nettt-conference.com and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com
Dr Tharindu Ranasinghe
Lecturer in Computer Science
School of Informatics and Digital Engineering
Birmingham, B4 7ET, UK
aston.ac.uk
*Apologies for crossposting*
TermTrends24: Models and Best Practices for Terminology Representation in
the Semantic Web
Workshop colocated with MDTT 2024 <https://mdtt2024.dei.unipd.it/en/>
*(Hybrid)*
Date: 26th June, 2024
Venue: Granada, Spain
More info: https://termtrends.linkeddata.es/
7th April - *30**th April (Extended)**: Deadline for paper submission*
*About TermTrendsTermTrends 2024 will now be a hybrid workshop!* Co-located
with MDTT 2024, TermTrends aims to provide a discussion forum on the
theoretical and methodological approaches for the representation of
terminological data, both at a conceptual and a linguistic level. In
particular, we would like to focus on their connection to the Linguistic
Linked (Open) Data (LLOD) paradigm through the representation of these data
according to Semantic Web formats. By adopting models or vocabularies
proposed for the representation of linguistic data, we would contribute to
the creation of interoperable and reusable terminological resources.
With this objective, the workshop intends to explore the advantages and
challenges underlying various Terminology-related standardisation
approaches, ranging from the initially proposed standards to represent
terminology within the International Standardisation Organisation (ISO),
such as the TermBase eXchange (TBX) format, to models that represent
linguistic descriptions associated with ontologies in the Semantic Web,
such as SKOS and Ontolex-lemon.
Being multidisciplinary in scope, it focuses on identifying terminological
representation needs, as well as limitations of current models in
addressing such needs, with the aim of also exploring the development of an
extension of the Ontolex-lemon vocabulary and how that may contribute to
overcoming such challenges.
*Call for Papers*The topics of interest for this workshop include, but are
not limited to, the following topics:
- Terminology Representation Standards
- Terminology as Linguistic Linked (Open) Data
- Interoperability of Terminological Resources
- Reusability of Terminological Resources
- Challenges in Terminology Representation
- Analysis of the structure of Terminological Resources
*Submissions*
Papers proposals should follow the CEUR template. Short and long papers
will be accepted. Following CEUR guidelines, short papers should be 5-6
pages long and long papers 8-10 pages long. Authors must submit their
papers through the EasyChair platform following this link.
*Important Dates*7th April - *30**th April (Extended)**: Deadline for paper
submission*
*20 April 2024* - Deadline for notification for paper submission
*15 May 2024* - Deadline for camera-ready paper submission
*26 June 2024 *- TermTrends Workshop
*Workshop Organisers*
Rute Costa, NOVA FCSH / NOVA CLUNL (Portugal)
Elena Montiel-Ponsoda, Universidad Politécnica de Madrid (Spain)
Sara Carvalho, Univ. de Aveiro / NOVA CLUNL (Portugal)
Patricia Martín-Chozas, Universidad Politécnica de Madrid (Spain)
Federica Vezzani, University of Padova (Italy)
*Patricia Martín Chozas - Postdoctoral Researcher*
* Ontology Engineering Group*
Artificial Intelligence Department
ETSI Informáticos - Universidad Politécnica de Madrid
Phone: (+34) 910673091
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers
===============
CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
Boise, Idaho, USA
October 21–25, 2024
===============
The 33rd ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, search and discovery, text and data mining, and database systems.
The Applied Research Track invites submissions from both academia and industry that focus on advancing the understanding of issues related to deploying IR, NLP and AI at scale. Unlike the Research Track, the Applied Research Track concentrates on applied work, such as describing the implementation of a system, data acquisition, or application of a methodology that addresses a significant real-world problem and demonstrates measurable benefits and impact. We invite authors to submit papers that showcase their research work’s real-world impact and demonstrate practicality and scalability.
Submissions should clearly outline how the work has been deployed or released and for how long, or how the work is planned to be deployed or released and what is its potential impact in the real world
--------------------------
Key Dates
--------------------------
* Applied Research Papers abstract: 13 May 2024
* Applied Research Papers: 20 May 2024
* Applied Research Papers notifications: 16 July 2024
* Camera ready: 8 August 2024
(All deadlines are at 11:59 pm AOE)
--------------------------
Topics of Interest
--------------------------
We invite submissions along the same topics of interest lines as the CIKM 2024 Research Track, but with a focus on applied and deployed work, substantiated by a system launch, data release, or other practical application evidence.
* 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, spatio-temporal, (knowledge) graph, 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)
* Data processing enabled by large language models and other foundation models (e.g. information retrieval or data management facilitated by the use of LLMs)
* 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 and filtering 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, spoken interfaces)
* Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
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)
* Network and graph mining (e.g., social network analysis, mining important nodes in networks, subgraphs and graph motifs mining, community detection)
* Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)
--------------------------
Paper Submissions
--------------------------
We welcome original applied research submissions that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences.
Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind).
Submissions are limited to 7 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM’s 2-column template “sig-conf”, see https://www.acm.org/publications/proceedings-template.
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.
At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program.
The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
--------------------------
Dual Submission Policy
--------------------------
Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024.
Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity.
--------------------------
Authorship Policy
--------------------------
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 anonymity, 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 Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment
--------------------------
Chairs Contact Information
--------------------------
For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org
Wei Chen (Microsoft Research Asia)
Yinglong Xia (Meta)
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2024.org/call-for-short-research-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 a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA.
--------------------------
Key Dates
--------------------------
* Short Papers abstract: 27 May 2024
* Short Papers: 3 June 2024
* Short Papers notifications: 16 July 2024
* Camera ready: 8 August 2024
(All deadlines are at 11:59 pm AOE)
--------------------------
Topics of Interest
--------------------------
We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. 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, spatio-temporal, (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 and filtering 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, spoken interfaces)
* Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
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)
--------------------------
Paper Submissions
--------------------------
Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentations.Manuscripts should be submitted to the CIKM 2024 Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Submissions should be in 2-column sigconf format. Short papers cannot exceed 4 pages plus unlimited references.
Papers should be submitted through the CIKM 2024 online submission system. The review of short papers will be double-blind, and those submissions that have not been properly anonymized will be desk-rejected without review.
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 own text (e.g., automate grammar checks, word autocorrect, and other editing work), but text “produced entirely” by AI is not allowed.
At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program.
The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
--------------------------
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. There are several exceptions to this rule:
Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.
Submission is permitted for papers that have previously been made available as a technical report or similar, e.g., in arXiv. In this case, the authors should not cite the report, so as to preserve anonymity.
--------------------------
Authorship Policy
--------------------------
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 anonymity, 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 Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment
--------------------------
Chairs Contact Information
--------------------------
For more information, contact the short paper chairs at: CIKM2024-short [at] easychair [dot] org
Arijit Khan, Aalborg University, Denmark
Barbara Poblete, University of Chile, Chile/Amazon, USA.
Hua Wen, The Hong Kong Polytechnic University, Hong Kong SAR, China
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2024.org/call-for-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 a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA.
--------------------------
Key Dates
--------------------------
* Full Papers abstract: 13 May 2024
* Full Papers: 20 May 2024
* Papers notifications: 16 July 2024
* Camera ready: 8 August 2024
(All deadlines are at 11:59 pm AOE)
--------------------------
Topics of Interest
--------------------------
We encourage submissions of high-quality research papers on the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. 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, data lake, 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, time series, spatio-temporal, (knowledge) graph, 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, and interpretability)
* Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)
* Data preparation, Valuation, and Trading
* Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender, and filtering systems)
* Users and interfaces for information systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)
* Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
* Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)
* Mining 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)
* Knowledge graphs support data representation and manipulation
* Generation of knowledge graphs using unstructured data
* Information retrieval in the era of LLMs
* Open-ended QA systems
* Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management
--------------------------
Paper Submissions
--------------------------
Authors are invited to submit original, full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences.
Manuscripts should be submitted to CIKM 2024 Easychair site in PDF format, using the 2-column ACM sigconf template, see https://www.acm.org/publications/proceedings-template . Full papers cannot exceed 9 pages, including an appendix, plus unlimited references. Rejected full papers will not be considered for publication as short papers. The review of manuscripts will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
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.
At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program.
The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
--------------------------
Dual Submission Policy
--------------------------
Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024.
Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity.
--------------------------
Authorship Policy
--------------------------
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 anonymity, 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 Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment
--------------------------
Chairs Contact Information
--------------------------
For more information, contact the PC chairs at: CIKM2024-pc [at] easychair [dot] org
Carlotta Domeniconi, George Mason University, USA
Zhifeng Bao, RMIT University, Australia
Sole Pera, TU Delft, Netherlands