[rede.APPIA] CFP: SoGood 2024 – ECML-PKDD Workshop on Data Science for Social Good

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Call for Papers
SoGood 2024 – 9th Workshop on Data Science for Social Good
Affiliated with ECML-PKDD 2024, 9-13 September, Vilnius, Lithuania, ecmlpkdd.org/2024/
Workshop site: sites.google.com/view/sogood-2024/home
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The possibilities of Data Science for contributing to the social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as “Social networks”, “Predictive models”, or the catch-all term “Applications”). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of the social impact of the application.
This workshop aims to attract papers presenting applications of Data Science for Social Good (which may or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:
– Government transparency and IT against corruption – Public safety and disaster relief – Access to food, water, sanitation and utilities – Efficiency and sustainability – Climate change – Data journalism – Social and personal development – Economic growth and improved infrastructure – Transportation – Energy – Smart city services – Education – Social services, unemployment and homeless – Healthcare and well-being – Support for people living with disabilities – Responsible consumption and production – Gender equality, discrimination against minorities – Ethical issues, fairness, and accountability – Trustability and interpretability – Topics aligned with the UN development goals
We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly “non-profit” but have Social Good as their main focus.
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Important Dates: There will be an award for the best paper.
– Submission deadline: 15 June 2024 – Acceptance notification: 15 July 2024 – Camera-ready deadline: 1 September 2024
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Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2024 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions.
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Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.

Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
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[rede.APPIA] Fwd: DS2024 5 days left to submit

——– Forwarded Message ——–

Subject: DS2024 5 days left to submit
Date: Wed, 5 Jun 2024 16:52:14 +0000
From: Riccardo Guidotti <riccardo.guidotti@unipi.it&gt;
To: Anna Monreale <anna.monreale@unipi.it&gt;

***We kindly ask you to share this CFP among your list of contacts***    !!! 5 days left to submit your abstract to DS2024 !!!    ***CALL FOR PAPER: MAIN RESEARCH TRACK***  Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to:    - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science  - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc.  - Knowledge Discovery and Data Mining  - Anomaly and Outlier Detection  - Time-Series Analysis  - Spatial, Temporal and Spatiotemporal Data Analysis  - Unstructured Data Analysis (textual and web data)  - Data and Knowledge Visualization  - Complex Network Analysis  - Causal Modelling  - Explainable AI and Interpretable Machine Learning  - Human-Machine Interaction for Knowledge Discovery and Management  - Data Streams, Evolving Data, Change Detection & Concept drift  - AutoML, Meta-Learning, Planning to Learn  - AI and High-performance Computing, Grid and Cloud Computing  - AI and Cybersecurity  - Computational Creativity  - Learning from Complex Data  - Process Discovery and Analysis  - Evaluation of Models and Predictions in Discovery Setting  - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences    ***IMPORTANT DATES***  Abstract submission (deadline): Monday June 10, 2024 (EXTENDED) [was Monday June 3, 2024]  Full paper submission (deadline): Monday June 17, 2024 (EXTENDED) [was Monday June 10, 2024]  Notification of acceptance: Monday July 29, 2024 (EXTENDED) [was Monday July 22, 2024]  Camera-ready version, author registration: Monday August 5, 2024  All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth)    ***SUBMISSION PROCEDURE***  Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.  We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors’ consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper.    Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS’ 2024.    Accepted papers will be published in the Discovery Science Springer LNCS series https://link.springer.com/conference/dis    Submission System: https://cmt3.research.microsoft.com/DS2024/    At least one of the authors must be a registered participant at the conference to present the work.      ***SPECIAL ISSUE***  The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published.    ***BEST PAPER AWARD***  There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area.    ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA***  SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of  the main track but focussed on experiments for the SoBigData research spaces:  - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts.  - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions.  - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies.  - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a “conscious system” able to self-control a large number of subsystems.   - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics.  - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas.  - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities.  - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance).    Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels.    ***IMPORTANT DATES & SUBMISSION PROCEDURE***  Abstract submission (deadline): Monday June 10, 2024 (EXTENDED) [was Monday June 3, 2024]  Full paper submission (deadline): Monday June 17, 2024 (EXTENDED) [was Monday June 10, 2024]  Notification of acceptance: Monday July 29, 2024 (EXTENDED) [was Monday July 22, 2024]  Camera-ready version, author registration: Monday August 5, 2024  All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth)    ***BEST PAPER AWARD***  There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData.      ***CALL FOR LATE BREAKING CONTRIBUTIONS ***  The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work.  We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community.  Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers.    ***IMPORTANT DATES***  Submission due: Monday July 1, 2024 (EXTENDED) [was Monday June 22, 2024]  Notification of acceptance: Wednesday July 31, 2024 (EXTENDED) [was Monday July 27, 2024]  Camera-ready version (extended abstract), author registration: Monday August 5, 2024  All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth)    ***SUBMISSION DETAILS***  Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/    Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission.    The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee.    All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code).    At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work.    All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings.      ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM***  The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track.    The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under “Submission Details”.    ***IMPORTANT DATES***  Submission due: Monday July 1, 2024 (EXTENDED) [was Monday June 22, 2024]  Notification of acceptance: Wednesday July 31, 2024 (EXTENDED) [was Monday July 27, 2024]  Camera-ready version (extended abstract), author registration: Monday August 5, 2024  All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth)    ***SUBMISSION DETAILS***  Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/  The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section.    Research proposals (and if accepted, the Posters) should contain the following elements:  - Context: The background and motivation for your research, including the related work that frames your research  - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature.  - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description.  - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps.  - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps?    All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code).    At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work.    All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings.        ***COMMITTEES AND CHAIRS***    GENERAL & PROGRAM CHAIRS  - Dino Pedreschi, University of Pisa  - Anna Monreale, University of Pisa  - Riccardo Guidotti, University of Pisa    STEERING COMMITTEE  - Michelangelo Ceci, University of Bari    SPECIAL SESSION CHAIR  - Roberto Trasarti, ISTI-CNR Pisa    POSTER SESSION CHAIR  - Francesca Naretto    DOCTORAL CONSORTIUM CHAIRS  - Fosca Giannotti  - Roberto Pellungrini    SOCIAL MEDIA & PUBLICITY CHAIR  - Vittorio Romano    LOCAL ORGANIZATION COMMITTEE  - Francesco Spinnato, University of Pisa  - Lorenzo Mannocci, University of Pisa    

Riccardo Guidotti
Dipartimento di Informatica
Università di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa

Web: http://kdd.isti.cnr.it/homes/guidotti/

KDD Lab, Room: 363
Phone:+39 050 221 3134



[rede.APPIA] EAIA2024 Advanced School on Artificial Intelligence

(Apologies for multiple postings)
The Advanced School on Artificial Intelligence – EAIA 2024
September 2-3, 2024
Viana do Castelo, Portugal

IMPORTANT DATES

15 July 2024: Early Registration

ABOUT

EAIA 2024 is a Portuguese Advanced School on AI organized by Portuguese Association of Artificial Intelligence (APPIA).

EAIA 2024 will provide an interdisciplinary setting in which courses are offered in areas of Artificial Intelligence. 

EAIA is a central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge. 
Courses will consist of two 90-minute sessions, offered on the two days (Monday-Tuesday), to allow students to develop in-depth knowledge of a topic. 
There will be two parallel sessions in which students choose the topic they want to assist.

TOPICS AND FORMAT

EAIA aims to cover all subdisciplines of AI and the interactions between them.

* General Artificial AI

* Generative AI – Foundations and Applications
* Reinforcement Learning
* AI in Humanized Medicine (ML)
* Ethical and |Responsabile in AI
* Art and Creativity
* Intelligent Robotics
Each course will consist of two 90-minute lectures, offered daily
(Monday-Tuesday) before EPIA Conference.

While introductory courses will typically focus on one subarea of AI,
introductory and advanced courses are encouraged to present a broader
perspective on AI and should be of interest beyond one specific area.

Each course has a theoretical and a practical part.

Dalila Durães

“So the task is, not so much to see what no one has seen yet, but to think what nobody has yet thought, about what everybody sees.”

 

 Arthur Schopenhauer (1851)

[rede.APPIA] Last Call for Papers & Workshops Iberamia 2024 Paper submission deadline: Jun 9th, 2024

Paper submission deadline extended to 9/Jun
www.iberamia.org/iberamia/iberamia2024/
———————————————————————— *De:* IBERAMIA <iberamia@iberamia.org> *Enviado:* 1 de maio de 2024 00:07 *Assunto:* Last Call for Papers & Workshops Iberamia 2024 , Montevideo (Uruguay) on November 13-15th, 2024 / Paper submission deadline: May 26th, 2024 Apologize if you receive multiple copies of this email, or if its content is irrelevant for you.
===================================================================================== Call for Papers & workshops IBERAMIA’2024 18th Ibero-American Conference on Artificial Intelligence Iberamia’2024 Montevideo, Uruguay November 13-15th, 2024 iberamia2024.iberamia.org <iberamia2024.iberamia.org/>      Contact: iberamia2024@iberamia.org <mailto:iberamia2024@iberamia.org>
Iberamia’2024, the 18th Ibero-American Conference on Artificial Intelligence, will be held in Montevideo (Uruguay) on November 13-15th, 2024, organized by the Facultad de Ingeniería de la Universidad de la República.
IBERAMIA’2024 is the 18th edition of the Ibero-American Conference on Artificial Intelligence, a leading symposium where the Ibero-American AI community comes together to share research results and experiences with researchers in Artificial Intelligence from all over the world. The main technical program will consist of invited talks by leading scientists in the area, presentations of technical papers, orally and as posters, as well as system demonstrations. Satellite events organized and occurring together with IBERAMIA’24 include a Doctoral and Master Consortium (SIMDIA), workshops and tutorials. Paving the way to these events a pre-conference program will take place distributed through time up to November 2024, consisting on a series of open online seminars on IberamiaChannel.
Submission Topics
IBERAMIA 2024 welcomes submissions on all AI topics, as well as cross cutting work in related areas. We encourage submissions of research that reaches across technical areas or addresses integrated capabilities, as well as application of AI techniques for social good, such as sustainability, health care, education, transportation, industry, security, manufacturing and commerce.
Main topics may include but are not limited to the following: * Agent technology. Multi-Agent Systems. * Ambient intelligence. Intelligence of things. * AI and the WEB. Recommender Systems. * AI Applications and Technology Transfer. * AI in Education. Intelligent Tutoring Systems. * Bio-inspired AI. * Computational Intelligence, Soft Computing. Cognitive Systems, Cognitive Modeling. * Computer vision, Robotics. * Game Theory and Interactive Entertainment. * General AI. * Green and Sustainable Artificial Intelligence. * Human Aspects in AI, Affective Computing. Intelligent Human-computer interaction. * Knowledge Engineering. Knowledge Representation. Reasoning. Argumentation. * Machine Learning. Deep Learning. Big Data. Data Mining. Pattern recognition. Generative models. * Natural Language Processing. Conversational AI. Prompt Engineering. * Planning and Scheduling. Heuristics and Metaheuristics. * Social impact of AI. Ethics and AI. Sustainability and AI. Trustworthy and Explainable AI. AI for social good.
Paper Submission Guidelines
* Papers must be written in English, in the Springer LNCS format, and must not exceed 12 pages, including all tables, figures (www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines <www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>). Submissions over twelve pages will be rejected without review. * Papers must be submitted through the EquinOCS Conference System: (equinocs.springernature.com/service/IBERAMIA2024 <equinocs.springernature.com/service/IBERAMIA2024>)
Authors should choose the topic or topics above that are most related to the submitted paper. All submissions will go through a double blind peer review process by Program Committee members on the basis of their originality, relevance, significance, technical soundness, quality and clarity. Thus, author names and affiliations must be omitted from the submission, using instead the unique tracking number assigned by the conference system at the time of submission. In addition, self?references in the text, like «in [14] we prove that» should be avoided, using instead references such as «in [14] has been proved that».
All papers must be original and not simultaneously submitted to another journal or conference.
Conference Registration and Attendance At least one author is required to register for the conference and should be available to present the paper. We encourage all authors to attend if possible.
Best paper Award A “Best Paper Award” will be given to the authors of the best paper, as judged by the Best Paper Award Selection Committee. There will also be the “Best Paper Presentation Award” selected from the audience feedback collected during the IBERAMIA 2024.
Publication The Proceedings of IBERAMIA’2024 will be published in Springer «Advances in Artificial Intelligence», LNCS/LNAI series.
Journal Opportunities A select set of top-rated papers will be nominated for fast track review at participating journals, including AI Communications, Progress in Artificial Intelligence, Inteligencia Artificial, and other international journals (all of them indexed by Scopus, JCR, etc.).
PhD and Master Theses Contest The Second Ibero-American Symposium on Masters and Doctorates in Artificial Intelligence (SIMDIA’2023) will be held as a pre-conference activity on November 9-10, 2023. In this event awards will be given to the best PhD and MSc theses.
Pre-events for IBERAMIA’2024 As pre-events of IBERAMIA’2024, a series of open access conferences will be held through our IberamiaChannel (iberamiachannel.iberamia.org/ <iberamiachannel.iberamia.org/>), conducted by relevant researchers in the area
Questions and Suggestions Please send all enquiries and suggestions about the technical program to the IBERAMIA-2024 Program Chair, at the email address pc-chair@iberamia.org <mailto:pc-chair@iberamia.org>
IMPORTANT DATES Paper submission deadline: May 26th, 2024 Notification: July 19th, 2024 Camera ready papers: July 28th, 2024 Conference dates: November 13-15th, 2024
CALL FOR WORKSHOPS’ PROPOSALS
The conference will feature a pre-conference program of workshops. IBERAMIA 2024 will welcome workshops proposals in all areas of AI. The workshops will preferably be held in one day, at the beginning of the conference. Proposals for workshops should be a maximum of five pages in length, and should contain the following information:     • Title of the workshop.     • A brief description of the workshop, specifying the workshop goals, the technical issues addressed and the relevance of the workshop to the Iberamia Conference. Proposals of workshops with open discussions on specific topics are welcome.     • Specific information regarding the organizers: names, affiliations, postal addresses, phone numbers, email addresses, and expertise in the topic of the workshop. The organization committee should include at least two members.     • Description of the paper review process and acceptance standards, including a preliminary list of the workshop program committee with names, titles and affiliations.     • Expected duration of the workshop.
All proposals should be submitted, by electronic mail, to the Workshop Chair (iberamia2024@iberamia.org <mailto:iberamia2024@iberamia.org>), before September 15th, 2024. The list of accepted IBERAMIA 2024 workshops will be published along with the submission details on the conference’s Web site. Papers for the workshops can be written in Spanish, Portuguese, or English.
— Secretaria de Iberamia
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[rede.APPIA] Fwd: LUHME – Language Understanding in the Human-Machine Era | Call for papers | DEADLINE EXTENSION

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px”>

Dear all, 

DEADLINE EXTENSION

Given the high interest shown in the ECAI workshop LUHME – Language Understanding in the Human-Era, and upon the request of several participants, we decided to extend the paper submission deadline. The new, extended and final submission deadline is 15 June 2024

PROCEEDINGS

We are also pleased to inform you that the workshop proceedings will be published as part of the ACL Anthology. 

We look forward to receiving your submission. 

All best

Rui Sousa-Silva (on behalf of the workshop organisers)

* * * * *

Call for Papers: Language Understanding in the Human-Machine Era (LUHME)

 

The LUHME 2024 workshop Language Understanding in the Human-Machine Era is part of

the 27th European Conference on Artificial Intelligence, ECAI 2024 (https://www.ecai2024.eu/).

This Workshop is scheduled for 20 October 2024.

 

 

Workshop description

Large language models (LLMs) have revolutionized the development of interactional artificial intelligence (AI) systems by democratizing their use. These models have shown remarkable advancements in various applications such as conversational AI and machine translation, marking the undeniable advent of the human-machine era. However, despite their significant achievements, state-of-the-art systems still exhibit shortcomings in language understanding, raising questions about their true comprehension of human languages.

The concept of language understanding has always been contentious, as meaning-making depends not only on form and immediate meaning but also on context. Therefore, understanding natural language involves more than just parsing form and meaning; it requires access to grounding for true comprehension. Equipping language models with linguistics-grounded capabilities remains a complex task, given the importance of discourse, pragmatics, and social context in language understanding.

Understanding language is a doubly challenging task as it necessitates not only grasping the intrinsic capabilities of LLMs but also examining their impact and requirements in real-world applications. While LLMs have shown effectiveness in various applications, the lack of supporting theories raises concerns about ethical implications, particularly in applications involving human interaction.

The “Language Understanding in the Human-Machine Era” (LUHME) workshop aims to reignite the debate on the role of understanding in natural language use and its applications. It seeks to explore the necessity of language understanding in computational tasks like machine translation and natural language generation, as well as the contributions of language professionals in enhancing computational language understanding.

 

Topics of Interest

Topics of interest include, but are not limited to:

·       Language understanding in LLMs

·       Language grounding

·       Psycholinguistic approaches to language understanding

·       Discourse, pragmatics and language understanding

·       Evaluation of language understanding

·       Multi-modality and language understanding

·       Socio-cultural aspects in understanding language

·       Effects of language misunderstanding by computational models

·       Manifestations of language understanding

·       Distributional semantics and language understanding

·       Linguistic theory and language understanding by machines

·       Linguistic, world, and common sense knowledge in language understanding

·       Machine translation and/or interpreting and language understanding

·       Human vs. machine language understanding

·       Role of language professionals in the LLMs era

·       Understanding language and explainable AI

 

Ethics Statement

Research reported at ECAI and LUHME workshop should avoid harm, be honest and trustworthy, fair and non-discriminatory, and respect privacy and intellectual property. Where relevant, authors can include in the main body of their paper, or on the reference page, a short ethics statement that addresses ethical issues regarding the research being reported and the broader ethical impact of the work. Reviewers will be asked to flag possible violations of relevant ethical principles. Such flagged submissions will be reviewed by a senior member of the programme committee. Authors may be required to revise their paper to include a discussion of possible ethical concerns and their mitigation.

 

Submission Instructions

Papers must be written in English, be prepared for double-blind review using the ECAI LaTeX template, and not exceed 7 pages (not including references). The ECAI LaTeX Template can be found at https://ecai2024.eu/download/ecai-template.zip. Papers should be submitted via OpenReview: https://openreview.net/group?id=eurai.org/ECAI/2024/Workshop/LUHME

 

Excessive use of typesetting tricks to make things fit is not permitted. Please do not modify the style files or layout parameters. You can resubmit any number of times until the submission deadline. The workshop papers will be published in the proceedings (further information will be provided soon).

 

Important Dates

·       Paper submission: 31 May 2024 15 June 2024

·       Notification of acceptance: 15 July 2024

·       Camera-ready papers: 31 July 2024

·       LUHME workshop: 20 October 2024

 

Invited Speakers

·       Alexander Koller, Saarland University

·       Anders Søgaard, University of Copenhagen

 

Organisation

This workshop is jointly organised by the chairs of working groups 1 (Computational Linguistics) and 7 (Language Work, Language Professionals) of the COST Action LITHME – Language in the Human-Machine Era (CA19102).

 

Workshop Organisers

·       Rui Sousa-Silva (University of Porto, Portugal)

·       Henrique Lopes Cardoso (University of Porto, Portugal)

·       Maarit Koponen (University of Eastern Finland, Finland)

·       Antonio Pareja-Lora (Universidad de Alcalá, Spain)

·       Márta Seresi (Eötvös Loránd University, Hungary)

 

 

Program Committee

·       Aida Kostikova (Bielefeld University)

·       Alex Lascarides (University of Edinburgh)

·       Alípio Jorge (University of Porto)

·       António Branco (University of Lisbon)

·       Belinda Maia (University of Porto)

·       Caroline Lehr (ZHAW School of Applied Linguistics)

·       Diana Santos (Universitetet i Oslo)

·       Efstathios Stamatatos (University of the Aegean)

·       Ekaterina Lapshinova-Koltunski (University of Hildesheim)

·       Eliot Bytyçi (Universiteti i Prishtinës “Hasan Prishtina”)

·       Hanna Risku (University of Vienna)

·       Jörg Tiedemann (University of Helsinki)

·       Lynne Bowker (University of Ottawa)

·       Nataša Pavlović (University of Zagreb)

·       Paolo Rosso (Universitat Politècnica de València)

·       Ran Zhang (Bielefeld University)

·       Ruslan Mitkov (Lancaster University)

·       Sule Yildirim Yayilgan (Norwegian University of Science and Technology)

·       Tharindu Ranasinghe (Lancaster University)

 

 

For further information, please visit https://luhme.web.uah.es/ or contact rssilva@letras.up.pt