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
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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.
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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.
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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
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
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
* 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
* 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
* 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)
The 17th International Conference on Natural Language Generation (INLG 2024) (https://inlg2024.github.io/) will be held in Tokyo, Japan, on 23-27 September 2024. Building on the success of previous years, we hope to include a number of independently organised research workshops and tutorials. These workshops and tutorials will take place immediately after or prior to the main conference. The INLG organisers and SIGGEN cordially invite workshop proposals for one-day or half-day workshops at INLG 2024.
Proposals can focus on any topic relevant to the Natural Language Generation community (NLG). We especially invite new and novel proposals in relatively new areas which have recently begun to attract interest in the research community, or topics where greater interaction between the NLG community and another established research community can be beneficial to both fields. Proposals that form part of an existing series, are also welcome.
Workshops and tutorials should provide an informal setting, where participants will have the opportunity to discuss technical topics in an atmosphere that fosters the active exchange of ideas. Proposals should also describe the format of the proposed workshop or tutorial. We encourage formats that will foster discussion and exchange of ideas (talks, posters, panels, invited speakers). Workshops and tutorials at INLG 2024 should be planned as half-day or full one-day events.
Proposals can be submitted via https://forms.gle/ApiTrNbZzFhhMJNd6. Should you have any questions, feel free to contact INLG 2024 Workshop Chair, Jing Li, email: jing-amelia.li(a)polyu.edu.hk
=======================================
***Format Requirement***
1. Approximately 2 pages long
2. The names and affiliations of the organizers
3. The name of the workshop and its duration (half-day or full-day)
4. A description of the workshop aims
5. A short description of the format of planned activities
6. An indication of the research communities that the workshop is expected to target
After a workshop proposal is accepted, the organizers are encouraged to create a website for the workshop. The INLG 2024 main conference website will provide a link to each workshop.
=======================================
***Important dates***
- Deadline for receipt of workshop proposals: 15th May 2024
- Notification of acceptance: 29th May 2024
***Suggested timeline for workshop organization***
- Call for workshop papers or abstracts: 10th June 2024
- Submissions due: 26th July 2024
- Notification of acceptance: 26th August 2024
- Camera-ready papers due: 9th September 2024 (i.e. two weeks before INLG)
All deadlines are at 11.59 PM, UTC-8.
=======================================
Program Co-Chairs:
Nguyen Le Minh (Japan Advanced Institute of Science and Technology)
Daphne Ippolito (Carnegie Mellon University)
Saad Mahamood (trivago)
Publications chair:
Chung-Chi Chen (AIRC)
Workshop chair:
Jing Li (Hong Kong Polytechnic University)
Generation Challenge co-chairs:
Simon Mille (ADAPT Centre)
Miruna Clinciu (Heriot-Watt University and the University of Edinburgh)
Website: https://inlg2024.github.io/
X: @inlgmeeting
SEARCH SOLUTIONS 2024
Innovations in Search & Information Retrieval
Search Solutions is the premier UK forum for the presentation of the latest innovations in search and information retrieval. We bring together practitioners, researchers, analysts and end users to discuss the latest developments in the information retrieval (IR) community and to share insights between research and practice. SS 2024 will be held at the BCS London office on Wednesday 27th November with tutorials on Tuesday 26th.
SUBMISSION GUIDELINES
We solicit speaker proposals for talks around the following categories:
* Innovative approaches used in IR production systems and products
* Topical issues in IR practice, e.g. trust, bias, and fairness
* Implications of generative AI and large language models
* Interdisciplinary collaborations, bridging areas such as information science, data science, user experience, and artificial intelligence
* IR practice within different professional communities, spanning eCommerce, media, recruitment, library and information science, healthcare information, and beyond
* Case studies showcasing best practices, design principles, evaluation techniques, and practical implementations in the field of information retrieval
We encourage presentations from startups and open-source projects. The presentation format of the event will be a combination of presentations, panels and discussions.
Proposals should be no more than 1 page and include:
* Title
* Abstract
* Main contribution & take-aways for attendees
* A short bio of the presenter and/or a brief organisation outline
Proposals should be emailed to irsg(a)bcs.org.uk cc’ing tgr2uk(a)gmail.com. There will be a separate call for tutorial presentations.
IMPORTANT DATES
* Time zone: Anywhere on Earth (AoE)
* Talk proposal due: 14 June
* Notifications: 28 June
ORGANISERS
* Ingo Frommholz
* Udo Kruschwitz
* Tony Russell-Rose
* Haiming Liu (tutorials chair)
Past Events
For past Search Solutions events and links to slides and videos (and for registration) please see: https://www.bcs.org/membership-and-registrations/member-communities/informa…
CONTACT
For further details, contact irsg(a)bcs.org.uk or see https://www.bcs.org/events-calendar/2024/november/search-solutions-2024-inf…
CALL FOR ARR Commitment
The 11th Workshop on Argument Mining @ ACL 2024
August 15, 2024
https://argmining-org.github.io/2024/
The 11th Workshop on Argument Mining will be held on August 15, 2024, in
Bangkok, Thailand, together with ACL 2024. The Workshop provides a
regular forum for presenting and discussing cutting-edge research in
argument mining (a.k.a argumentation mining) for academic and industry
researchers. By continuing a series of ten successful previous
workshops, this edition will welcome the submission of long, short, and
demo papers. Also, it will feature two shared tasks and a keynote talk.
ArgMining 2024 will accept submissions of ARR-reviewed papers, provided
that the ARR reviews and meta-reviews are available by the ARR
commitment deadline (May 24, AoE).
IMPORTANT DATES
Paper commitment from ARR: May 24, 2024
Notification of acceptance: June 17, 2024
Camera-ready papers due: July 1, 2024
Workshop: August 15, 2024
TOPICS OF INTEREST
- Identification of argument components (e.g., premises and conclusions)
- Structure analysis of arguments within and across documents
- Relation Identification between arguments and counterarguments (e.g.,
support and attack)
- Creation and evaluation of argument annotation schemes, relationships
to linguistic and discourse annotations, (semi-) automatic argument
annotation methods and tools, and creation of argumentation corpora
- Assessment of arguments for various properties (e.g., stance, clarity)
- Automatic generation of arguments and their components
- Consideration of discourse goals in argument generation
- Argument mining and generation from multi-modal/multi-lingual data
- Argument mining in specific genres and domains (e.g., education, law,
scientific writing)
- Analysis of unique styles within genres (e.g., short informal text,
highly structured writing)
- Integration of commonsense and domain knowledge into argumentation models
- Combination of information retrieval methods with argument mining
- Real-world applications, including argument web search, opinion
analysis and summarization, and misinformation detection
- Reflection on the ethical aspects and societal impact of
argument-mining methods
- Reflection on the future of argument mining in light of the fast
advancement of large language models (LLMs)
SUBMISSIONS
The organizing committee welcomes submitting long papers, short papers,
and demo descriptions. Accepted papers will be presented via oral or
poster presentations and included in the ACL proceedings as workshop papers.
- Long paper submissions must describe substantial, original, completed,
and unpublished work. Wherever appropriate, concrete evaluation and
analysis should be included. Long papers must be at most eight pages,
including title, text, figures, and tables. An unlimited number of pages
is allowed for references. Two additional pages are allowed for
appendices, and an extra page is allowed in the final version to address
reviewers’ comments.
- Short paper submissions must describe original and unpublished work.
Please note that a short paper is not a shortened long paper. Instead,
short papers should have a point that can be made in a few pages, such
as a small, focused contribution, a negative result, or an interesting
application nugget. Short papers must be at most four pages, including
title, text, figures, and tables. An unlimited number of pages is
allowed for references. One additional page is allowed for the appendix,
and an extra page is allowed in the final version to address reviewers’
comments.
- Demo descriptions must be at most four pages, including title, text,
examples, figures, tables, and references. A separate one-page document
should be provided to the workshop organizers for demo descriptions,
specifying furniture and equipment needed for the demo.
Multiple Submissions
ArgMining 2024 will not consider any paper under review in a journal or
another conference or workshop at the time of submission, and submitted
papers must not be submitted elsewhere during the review period.
ArgMining 2024 will not accept direct submissions that are actively
under review in ARR, or that overlap significantly (>25%) with such
submissions.
Submission Format
All long, short, and demonstration submissions must follow the
two-column ACL 2024 format. Authors are expected to use the LaTeX or
Microsoft Word style template
(https://github.com/acl-org/acl-style-files). Submissions must conform
to the official ACL style guidelines contained in these templates.
Submissions must be electronic and in PDF format.
Submission Link and Deadline For ARR Submissions
Authors have to fill in the submission form in the OpenReview system
including a link to their ARR submission and upload a PDF of their paper
before May 24, 2024, 11:59 pm UTC-12h (anywhere on earth).
https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/ArgMining_ARR_…
Double Blind Review
ArgMining 2024 will follow the ACL policies for preserving the integrity
of double-blind review for long and short paper submissions. Papers must
not include authors’ names and affiliations. Furthermore,
self-references or links (such as GitHub) that reveal the author’s
identity, e.g., “We previously showed (Smith, 1991) …” must be avoided.
Instead, use citations such as “Smith previously showed (Smith, 1991) …”
Papers that do not conform to these requirements will be rejected
without review. Papers should not refer, for further detail, to
documents that are not available to the reviewers. For example, do not
omit or redact important citation information to preserve anonymity.
Instead, use the third person or named reference to this work, as
described above (“Smith showed” rather than “we showed”). Papers may be
accompanied by a resource (software and/or data) described in the paper,
but these resources should also be anonymized.
Unlike long and short papers, demo descriptions will not be anonymous.
Demo descriptions should include the authors’ names and affiliations,
and self-references are allowed.
ANONYMITY PERIOD (taken from the ACL call for papers in verbatim for the
most part)
We follow the ACL Policies for Review and Citation. Submissions must be
anonymized, but there is no anonymity period or limitation on posting or
discussing non-anonymous preprints while the work is under peer review.
BEST PAPER AWARD
In order to recognize significant advancements in argument mining
science and technology, ArgMining 2024 will include the Best Paper
award. All papers at the workshop are eligible for the best paper award,
and a selection committee consisting of prominent researchers in the
fields of interest will select the award recipients.
SHARED TASKS
We will be hosting two shared tasks this year:
1. Perspective Argument Retrieval
2. DialAM-2024: The First Shared Task on Dialogical Argument Mining
ArgMining 2024 ORGANIZING COMMITTEE
Yamen Ajjour, Leibniz University Hannover
Roy Bar-Haim, IBM Research
Roxanne El Baff, German Aerospace Center (DLR) and Bauhaus-Universität,
Weimar
Zhexiong Liu, University of Pittsburgh
Gabriella Skitalinskaya, Leibniz University Hannover
Call For Papers - ICICS2024: The 15th International Conference on Information and Communication Systems - http://www.just.edu.jo/icics
August 13 - 15, 2024, Irbid, Jordan
"The Conference Program includes free trips to Jarash and Umm Qais"
Full paper submission: May 20th , 2024..
The 15th International Conference on Information and Communication Systems (ICICS 2024) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of Computer and Information Sciences. The topics that will be covered in ICICS 2024 include, but are not limited to:
-Communication Systems, electronics, and Signal Processing
-Networking, and Internet of Things (IoT)
-Data Science and Big Data
-Natural Language Processing and Applications
-Software & web Engineering, and Information Systems
-Security, Privacy, and Digital Forensics
-Cloud and Fog/Mobile Edge Computing
-AI and Machine Learning
-E-Learning Technologies
Prospective authors are invited to submit full papers following the guideline posted on the conference website http://www.just.edu.jo/icics. Submitted papers will be peer-reviewed (check review process in the conference website), and prospective authors are expected to present their papers at the conference (possible for a virtual). The accepted and registered papers will appear in the conference proceedings.
Submission web page is https://easychair.org/conferences/?conf=icics20240
*** Extended version of the selected papers will be published in prestigious journals
Important Dates
-Full paper submission: May 20th , 2024.
-Notification of Decision: June 23rd , 2024.
-Camera-Ready and Registration: June 30th , 2024
Please send any inquiry to: icics(a)just.edu.jo