Please consider contributing and/or forwarding to appropriate colleagues
and groups.
*******We apologize for the multiple copies of this e-mail******
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Call for Participation
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DETESTS-Dis IberLEF 2024
Task: DETESTS-Dis (DETEction and classification of racial Stereotypes in
Spanish – Learning with Disagreement)
This task will take part of IberLEF 2024, the 6th Workshop on Iberian
Languages Evaluation Forum at the SEPLN 2024 Conference, which will be held
in Valladolid, Spain, on September 24th.
-------------------------------------------------------------------------------------------------------------------
Here, we introduce the second edition of the DETESTS task (Ariza-Casabona,
2022), which was first presented at IberLEF 2022. The aim of the new
edition, DETESTS-Dis, is to detect and classify explicit and implicit
stereotypes in texts from social media and comments on news articles,
incorporating learning with disagreement techniques. Next, a description of
both subtasks is provided:
-
Subtask 1, Stereotype Identification: This is a binary classification
task the aim of which is to determine whether a comment or sentence
contains at least one stereotype or none, considering the full distribution
of labels provided by the annotators. This subtask follows the SemEval 2021
Task 12 (Uma et al., 2021) proposal about learning with disagreement, in
which the authors state that there does not necessarily exist a single gold
label for every sample in the dataset. This fact is particularly evident
when multiple contradictory annotations arise at the data labeling stage
due to “debatable, subjective, or linguistic ambiguity”. The actual gold
label of this subtask is left as a proxy to determine the subset of
comments that will be evaluated in the posterior subtask.
-
Subtask 2 (Optional), Implicitness Identification: This subtask
introduces a novel binary classification problem to determine whether the
stereotype is manifested or latent within the text, that is, whether the
stereotype is implicit or explicit. The added difficulty in this case is
that implicit stereotypes are not directly expressed in the text, and a
process of inference must be applied by the annotators. Moreover, there are
different strategies in which an implicit stereotype can be coded, such as
metaphors, irony and other figures of speech, evaluations of the in-group,
and the overgeneralization of a social group from features of some of its
members. This subtask will be presented as a hierarchical binary
classification problem.
Although we recommend participating in both subtasks, participants are
allowed to participate just in one of them (e.g., subtask 1).
Teams will be allowed (and encouraged) to submit multiple runs (max. 5).
To avoid any conflict with the sources of the comments regarding their
intellectual property rights (IPR), the data will be sent privately to each
participant who is interested in the task. The corpus will only be made
available for research purposes.
Important dates (All deadlines are 11:59 PM UTC-12:00):
Training dataset release: March 04, 2024
Test dataset release: April 15, 2024
Systems results: April 29, 2024
Results notification: May 13, 2024
Working papers submission: June 3, 2024
Working papers (peer-)reviewed: June 17, 2024
Camera-ready versions: July 4, 2024
Workshop: September 24, 2024
Task organizers:
-
Mariona Taulé (Universitat de Barcelona, UB)
-
Wolfgang Schmeisser (Universitat de Barcelona, UB)
-
Alejandro Ariza (Universitat de Barcelona, UB)
-
Pol Pastells (Universitat de Barcelona, UB)
-
Mireia Farrús (Universitat de Barcelona, UB)
-
Simona Frenda (Università degli Studi di Torino, UniTo)
-
Paolo Rosso (Universitat Politècnica de València, UPV)
Contact:
Contact the organizers by writing to: detests.iberlef(a)gmail.com
Web page: https://detests-dis.github.io/
We invite participants to join our Google Groups to be kept up to date with
the latest news related to the task.
1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2024)
26 or 27 May 2024 (tbc)
Hersonissos, Crete, Greece (co-located with ESWC 2024)
Submission deadline (extended): March 14, 2024
https://nfdi4ds.github.io/nslp2024/ <https://nfdi4ds.github.io/nslp2024/>
Scientific research is almost exclusively published in unstructured text formats, which are not readily machine-readable. While technological approaches can help to get this flood of scientific information and new knowledge under control, the development of such technologies is very complex in practice and hinders the creation of infrastructures and systems to track research and assist the scientific community with applications such as dedicated scientific search engines and recommender systems. The 1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP) aims to bring together researchers working on the processing, analysis, transformation and making-use-of scientific language and RKGs including all relevant sub-topics. NSLP 2024 is a full-day workshop co-located with ESWC 2024 <https://2024.eswc-conferences.org/> to be held in Crete, Greece, in May 2024. The workshop will consist of two invited keynote and two shared tasks (FoRC: Field of Research Classification of Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/forc_shared_task.html>, SOMD: Software Mention Detection in Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html>), as well as presentations and posters of accepted papers.
Topics of interest include, but are not limited to
Research/Scientific Knowledge Graphs (RKGs/SKGs) and other forms of Structured Scientific Knowledge Representation
Information Extraction for Research/Scientific Knowledge Graphs
Question Answering over Research/Scientific Knowledge Graphs
Scientific LLMs: LLMs for Natural Scientific Language Processing
Natural Scientific Language Processing (monolingual, cross-lingual, multilingual)
Language Resources and Language Technologies for Natural Scientific Language Processing
Information Extraction from Scholarly Publications
Classification of Scholarly Publications (document collections, individual documents, parts of documents)
Summarisation of Scholarly Articles
Scholarly Information Retrieval and Scientific Search Engines
Digital Libraries of Scholarly Information
Metadata and Cataloging
Bibliometrics and Scientometrics
Domain-specific Adaptation of Natural Language Processing (NLP) methods for NSLP purposes
Micropublications and Nanopublications
Important dates
Deadline for submissions: March 07, 2024 – March 14, 2024 (deadline extended)
Notification of acceptance: April 4, 2024
Deadline for camera-ready papers: April 18, 2024
Submissions
The workshop invites anonymous submissions of regular long papers (up to 15 pages), position papers, and short papers (up to 8 pages) presenting negative results, in-progress projects, and demos. Papers can present negative results, in-progress projects, and demos. We especially encourage submissions from junior researchers and students from diverse backgrounds. Format of submissions: Springer LNCS style (full submission guidelines <https://nfdi4ds.github.io/nslp2024/docs/submission.html>).
Submissions are done via easyChair: https://easychair.org/conferences/?conf=nslp2024 <https://easychair.org/conferences/?conf=nslp2024>
The workshop proceedings will be published in the Springer series Lecture Notes in Artificial Intelligence (LNAI) as an Open Access book. Note that all fees for the Open Access book publication will be covered by the project NFDI4DS, which financially supports this workshop.
Shared tasks
The workshop offers two shared tasks:
FoRC: Field of Research Classification of Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/forc_shared_task.html> (two sub-tasks)
SOMD: Software Mention Detection in Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> (three sub-tasks)
Confirmed keynote speakers
Natalia Manola, OpenAIRE, Greece
Francesco Osborne, Open University, UK
Organisers
Georg Rehm, DFKI, Germany
Sonja Schimmler, TU Berlin & Fraunhofer FOKUS, Germany
Stefan Dietze, GESIS & HHU Düsseldorf, Germany
Frank Krüger, Wismar University, Germany
Contact
Georg Rehm <georg.rehm(a)dfki.de <mailto:georg.rehm@dfki.de>> – NSLP 2024 website <https://nfdi4ds.github.io/nslp2024/>
--
Prof. Dr. Georg Rehm <http://georg-re.hm/>
Principal Researcher and Research Fellow, DFKI
Adjunct Professor, Humboldt-Universität zu Berlin
DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49 30 23895-1833 – Fax: -1810
georg.rehm(a)dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan
Amtsgericht Kaiserslautern, HRB 2313
Last Call for Papers for ParlaCLARIN IV
Date: to be held at LREC-COLING 2024, Monday 20 May, 2024
Location: Lingotto Conference Centre - Torino (Italy)
Webpage: https://www.clarin.eu/ParlaCLARIN-IV
Submission Deadline: 26 February 2024 (Extended)
Submission Portal: https://softconf.com/lrec-coling2024/parlaclarin-iv/
----------------------------------
Workshop description
Parliamentary data is an important source of scholarly and socially relevant content, serving as a verified communication channel between the elected political representatives and members of the society. The development of accessible, comprehensive and well-annotated parliamentary corpora is therefore crucial for the information society, as such corpora help scientists and investigative journalists to ascertain the accuracy of socio-politically relevant information, and to inform the citizens about the trends and insights on the basis of such data explorations. Research-wise, parliamentary corpora are a quintessential resource for a number of disciplines in digital humanities and social sciences, such as political science, sociology, history, and (socio)linguistics.
The distinguishing characteristic of parliamentary data is that it is spoken language produced in controlled circumstances. Such data has traditionally been transcribed in a formal way but is now also increasingly transcribed with speech-to-text software as well as released in the original audio and video formats, which encourages resource and software development and provides research opportunities related to structuring, synchronization, visualization, querying and analysis of parliamentary corpora. Therefore, a harmonized approach to data curation practices for this type of data can support the advancement of the field significantly. One of the ways in which the research community is supported in this line of work is through the conversion of existing corpora and further development of new cross-national parliamentary corpora into a highly comparable, harmonized set of multilingual resources. These allow researchers to share comparative perspectives and to perform multidisciplinary research on parliamentary data. We envision that the ParlaCLARIN IV workshop, as a venue for knowledge and experience exchange on the topic, will contribute to the development and growth of the field of digital parliamentary science.
Objective
This fourth ParlaCLARIN workshop is a continuation of the 2018, 2020 and 2022 editions held at the respective LREC conferences, see references below. On the one hand, it continues to bring together developers, curators and researchers of regional, national and international parliamentary debates from across diverse disciplines in the Humanities and Social Sciences. On the other hand, we envisage the appearance of new discussion threads, tasks, and challenges that are partially inspired by or related to the new data releases such as ParlaMint and data formats such as Parla-CLARIN.
Topics of interests
We invite unpublished original work focusing on (but not exclusive to)
Compilation, annotation, visualisation and utilisation of historical or contemporary parliamentary written or audio records
Harmonisation of existing multilingual parliamentary resources, containing either synchronic or diachronic data or both
Linking or comparing parliamentary records with other datasets of political discourse such as party manifestos, political speeches, political campaign debates, and social media posts, and to other sources of structured knowledge, such as formal ontologies and LOD datasets (in particular for the description of speakers, political parties, etc.)
Special themes for this year’s workshop are:
Enrichment of parliamentary proceedings (with e.g. sentiment annotation, political profiling of speakers etc.) and research using such data
Machine translation of parliamentary proceedings and research using such data
Argument mining of parliamentary debates
Apart from the dissemination of the results, the workshop also aims to address the identified obstacles, discuss open issues and coordinate future efforts in this increasingly trans-national and cross-disciplinary community.
Previous editions for the reference:
2022: https://www.clarin.eu/ParlaCLARIN-III
2020: https://www.clarin.eu/ParlaCLARIN-II
2018: https://www.clarin.eu/ParlaCLARIN
Submission and Publication
We accept submission of long papers (up to 8 pages), short papers (up to 4 pages) and demo papers (up to 4 pages) to be presented as a long or short oral presentation at the workshop. The papers of the workshop will be published in online proceedings.
When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
Important Dates
Paper submission deadline: 26 February 2024 (Extended)
Notification of acceptance: 26 March 2024
Camera-ready paper: 1 April 2024
Workshop date: 20 May 2024
Organizing Committee
Darja Fiser, Institute of Contemporary History and CLARIN ERIC
Maria Eskevich, Huygens Institute, KNAW
David Bordon, University of Ljubljana
Programme Committee
Andreas Blaette, University of Duisburg-Essen
Kaspar Beelen, School of Advanced Study, University of London
Robert Borges, Department of Statistics, Uppsala University
Hajo Boomgaarden, University of Vienna
Çağrı Çöltekin, University of Tübingen
Francesca Frontini, CNR-ILC and CLARIN ERIC
Maria Gavriilidou, ILSP/Athena RC
Haidee Kotze, Utrecht University
Bente Maegaard, University of Copenhagen, Denmark
Cristina Lastres-López, University of Seville
Maarten Marx, University of Amsterdam
Christian Mair, University of Freiburg Germany
Simone Paolo Ponzetto, University of Mannheim
Petya Osenova, IICT-BAS and Sofia University
Maria Pontiki, ILSP/Athena RC, Greece
Hugo Sanjurjo-González, University of Deusto
Adam Smith, Macquarie University, Australia
Stelios Piperidis, ILSP/Athena RC
Tanja Wissik, Austrian Academy of Sciences
Tomaž Erjavec, Jožef Stefan Institute
Henk van den Heuvel, CLST, Radboud University
Tanja Wissik, Austrian Academy of Sciences
Turo Hiltunen, University of Helsinki
Jan Odijk, Utrecht University
Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences
Turo Vartiainen, University of Helsinki
The workshop is supported by the CLARIN ERIC research infrastructure.
To contact the organisers, please mail parlaclarin(a)clarin.eu (Subject: [ParlaCLARIN@LREC2024]).
*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/>
Date: 26th June, 2024
Venue: Granada, Spain
More info: https://termtrends.linkeddata.es/
*About TermTrends*TermTrends 2024, co-located with MDTT 2024 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 Dates15 March 2024* - 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
Apologies for multiple postings. Due to several requests, we have
extended the deadline for paper submission.
*New submission deadline: March, 4th 2024*
CFP: The 3rd Annual Meeting of the ELRA-ISCA Special Interest Group on
Under-resourced Languages (SIGUL2024)
* Workshop website: https://sigul-2024.ilc.cnr.it
* When: Monday and Tuesday, May 20th-21st, 2024
* Where: Torino, Italy (co-located with LREC-COLING 2024)
* Deadline for submissions: March 4th, 2024 (extended deadline)
* Paper submission link: https://softconf.com/lrec-coling2024/sigul2024/
* Deadline for camera-ready papers: April 5th, 2024
Call for Papers
3rd Workshop on
Tools and Resources for People with Reading Difficulties
READI @ LREC-COLING 2024, May 20th 2024
https://cental.uclouvain.be/readi2024/
*New submission deadline: March, 3rd 2024*
Workshop description
This interdisciplinary workshop invites participation from individuals
with experience and/or interest in applications, technologies, and
resources for reading. The general idea is to present state-of-the-art
methods, and ongoing research questions, i.e., how can Natural Language
Processing (NLP) methods leverage document accessibility? Are serious
games appropriate/efficient to enhance reading? What kind of solutions
AI proposes to help struggling readers? etc. By bringing together
researchers from various research communities, we aim to address the
issue from different angles:
- Design, evaluation, use, and education related to technologies for
reading
- Assistive AI applications for learning to read
- Existing solutions based on enhancing cognitive strategies to
improve reading comprehension skills
- Multimedia tools to develop literary education
- Natural language applications for automatic text adaptation
- AI-powered computer vision tools and applications
- Opportunities, challenges, risks of technology-enhanced reading
- ...
Motivation and Topics of Interest
With the growth of educational technologies, several innovative
technology applications and resources are devoted to how to foster
improvement in student learning to read. In addition, a number of
assistive technologies for reading have appeared in the last decades,
i.e. “devices and services that enhance the performance of individuals
with a disability by enabling them to complete tasks more effectively,
efficiently, and independently than otherwise possible” (Blackhurst,
1997). The field of special education has had a longstanding interest
in technology and the potential it holds for individuals with
language/speech disabilities, cognitive disorders, etc. (Edyburn,
2000). In this context, this workshop aims to present current
state-of-the-art applications and approaches addressed to a variety of
populations and contexts to enhance reading.
While proposing current research on technology-enhanced reading, we
would like to widen the perspective of the workshop for ‘field’
professionals (teachers and educators, speech-language pathologists,
etc.). The workshop will thus address topics concerning specialized
technology, tools, and resources, how they serve specific individuals
or processes (i.e., learning to read, reading, comprehending), the
impact of the devices on their lives and activities, etc. In the light
of recent advances in AI, we would like to bring to the fore innovative
works from research to applications in fieldwork.
The workshop aims to address the issue from a variety of domains and
languages, including education, natural language processing,
linguistics, psycholinguistics, cognitive sciences, psychophysics of
vision, etc. The focus will be on target populations struggling with
learning to read, or with decoding, or with comprehending, etc. such as
illiterates, aphasic or dyslexic readers, deaf or hard of hearing, low
vision or visually impaired readers, people with autism or
speech/language disorders, etc. to name a few. Topics include but are
not limited to the following:
- Measuring and evaluating readability and text complexity
- Models, corpora, lexicons for text adaptation
- Text adaptation approaches for target audiences
- Meaning representation and multimodal text adaptation
- Text generation of adapted contents
- Educational devices and/or smart technologies for reading:
- serious games for improving reading comprehension skills
- text-to-speech applications
- decoding training applications to strengthen early reading
skills
- booklets with lexical resources to look up unknown words
- graded materials for adaptive learning
- ...
- ...
Important Dates
submission deadline: *March, 3rd, 2024* (23:59 AoE)
notification of acceptance: March 20th, 2024
deadline for camera-ready versions: April 5th, 2024 (23:59 AoE)
workshop: May 20th, 2024
Paper Submission Instructions
Paper Length: submissions are expected to be between a minimum of 4 and
a maximum of 8 pages in length, plus unlimited pages for references.
Submission Format : all submissions must be formatted following the
LREC style guidelines https://lrec-coling-2024.org/authors-kit/
(Word, OpenOffice, and LaTeX templates are available).
Submissions should be made via the START conference system:
https://softconf.com/lrec-coling2024/readi2024/.
Papers that do not conform to these requirements will be rejected
without review.
The submissions will be anonymous (blind reviews).
Organizing Committee
Rémi Cardon Université catholique de Louvain, Belgium
Núria Gala Aix Marseille Université, France
Amalia Todirascu Université de Strasbourg, France
Rodrigo Wilkens Université catholique de Louvain, Belgium
Contact
Núria Gala (nuria.gala(a)univ-amu.fr)
Program Committee
David Alfter, University of Gothenburg, Sweden
Fernando Alva-Manchego, Cardiff University, UK
Delphine Bernhard, Université de Strasbourg, France
Dominique Brunato, ILC, Pisa, Italy
Rémi Cardon, Université catholique de Louvain, Belgium
Éric Castet, Aix Marseille Université, France
Stéphanie Ducrot, Aix Marseille Université, France
Thomas François, Université catholique de Louvain, Belgium
Núria Gala, Aix Marseille Université, France
Ludivine Javourey-Drevet, Université de Lille, France
Arne Jönsson, Linköping University, Sweden
Éole Lapeyre, Aix Marseille Université, France
Horacio Saggion, Universitat Pompeu Fabra, Catalonia, Spain
Matthew Shardlow, Manchester Metropolitan University, United Kingdom
Didier Schwab, Université Grenoble Alpes, France
Anaïs Tack, K.U. Leuven, Belgium
Amalia Todirascu, Université de Strasbourg, France
Vincent Vandeghinste, Instituut voor de Nederlandse Taal (Dutch Lge.
Institute), Belgium
Giulia Venturi, Istituto di Linguistica Computazionale A. Zampolli
(ILC-CNR), Pisa, Italy
Elena Volodina, University of Gothenburg, Sweden
Rodrigo Wilkens, Université catholique de Louvain, Belgium
Describe and Share your LRs!
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e.
also technologies, standards, evaluation kits, etc.) that have been
used for the work described in the paper or are a new result of your
research. Moreover, ELRA encourages all LREC-COLING authors to share
the described LRs (data, tools, services, etc.) to enable their reuse
and replicability of experiments (including evaluation ones).
**
*The 25th Annual Meeting of the Special Interest Group on Discourse and
Dialogue (SIGDIAL) will be held in Kyoto, Japan on September 18-20,
2024. SIGDIAL will be co-located with INLG which will take place after
SIGDIAL in Tokyo, Japan.*
*
The SIGDIAL venue provides a regular forum for the presentation of
cutting edge research in dialogue and discourse to both academic and
industry researchers, continuing a series of 24 successful previous
meetings. The conference is sponsored by the SIGDIAL organization - the
Special Interest Group in discourse and dialogue for ACL and ISCA.
Topics of Interest
We welcome formal, corpus-based, implementation, experimental, or
analytical work on discourse and dialogue including, but not restricted
to, the following themes:
* Discourse Processing: Rhetorical and coherence relations,
discourse parsing and discourse connectives. Reference resolution. Event
representation and causality in narrative. Argument mining. Quality and
style in text. Cross-lingual discourse analysis. Discourse issues in
applications such as machine translation, text summarization, essay
grading, question answering and information retrieval. Discourse issues
in text generated by large language models.
* Dialogue Systems: Task oriented and open domain spoken,
multi-modal, embedded, situated, and text-based dialogue systems, their
components, evaluation and applications, Knowledge representation and
extraction for dialogue, State representation, tracking and policy
learning. Social and emotional intelligence, Dialogue issues in virtual
reality and human-robot interaction. Entrainment, alignment and priming.
Generation for dialogue, Style, voice, and personality. Safety and
ethics issues in Dialogue.
* Corpora, Tools and Methodology: Corpus-based and experimental
work on discourse and dialogue, including supporting topics such as
annotation tools and schemes, crowdsourcing, evaluation methodology and
corpora.
* Pragmatic and Semantic Modeling: Pragmatics and semantics of
conversations (i.e., beyond a single sentence), e.g., rational speech
act, conversation acts, intentions, conversational implicature,
presuppositions.
* Applications of Dialogue and Discourse Processing Technology.
Submissions
The program committee welcomes the submission of long papers, short
papers, and demo descriptions. Submitted long papers may be accepted
for oral or for poster presentation. Accepted short papers will be
presented as posters.
* Long papersubmissions must describe substantial, original,
completed and unpublished work. Wherever appropriate, concrete
evaluation and analysis should be included. Long papers must be no
longer than 8 pages, including title, text, figures and tables. An
unlimited number of pages is allowed for references. Two additional
pages are allowed for appendices containing sample discourses/dialogues
and algorithms, and an extra page is allowed in the final version to
address reviewers’ comments.
* Short papersubmissions 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 should be no longer than 4
pagesincluding title, text, figures and tables. An unlimited number of
pages is allowed for references. One additional page is allowed for
sample discourses/dialogues and algorithms, and an extra page is allowed
in the final version to address reviewers’ comments.
* Demo descriptionsshould be no longer than 4 pagesincluding title,
text, examples, figures, tables and references. A separate one-page
document should be provided to the program co-chairs for demo
descriptions, specifying furniture and equipment needed for the demo.
Authors are encouraged to also submit additional accompanying materials,
such as corpora (or corpus examples), demo code, videos and sound files.
Multiple Submissions
SIGDIAL 2024 cannot accept work for publication or presentation that
will be (or has been) published elsewhere and that have been or will be
submitted to other meetings or publications whose review periods overlap
with that of SIGDIAL. Any questions regarding submissions can be sent to
program-chairs [at] sigdial.org <http://sigdial.org/>.
Blind Review
Building on previous years’ move to anonymous long and short paper
submissions, SIGDIAL 2024 will follow the ACL policies for preserving
the integrity of double blind review (see author guidelines
<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>).
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.
Submission Format
All long, short, and demonstration submissions must follow the
two-column ACL format, which are available as an Overleaf template
<https://www.overleaf.com/read/crtcwgxzjskr>and also downloadable
directly <https://github.com/acl-org/acl-style-files>(Latex and Word)
Submissions must conform to the official ACL style guidelines, which are
contained in these templates. Submissions must be electronic, in PDF format.
Submission Deadline
SIGDIAL will accept regular submissions through the Softconf/START
system, as well as commitment of already reviewed papers through the ACL
Rolling Review (ARR) system.
Regular submission
Authors have to fill in the submission form in the Softconf/START system
and upload an initial pdf of their papers before May 17, 2024(23:59
GMT-11). Details and the submission link will be posted on the
conference website <https://2024.sigdial.org/>.
Submissionvia ACL Rolling Review (ARR) <https://aclrollingreview.org/>
Please refer to the ARR Call for Papers
<https://aclrollingreview.org/cfp>for detailed information about
submission guidelines to ARR. The commitment deadline for authors to
submit their reviewed papers, reviews, and meta-review to SIGDIAL 2024
is June 19, 2024. Note that the paper needs to be fully reviewed by ARR
in order to make a commitment, thus the latest date for ARR submission
will be April 15, 2024.
Mentoring
Acceptable submissions that require language (English) or organizational
assistance will be flagged for mentoring, and accepted with a
recommendation to revise with the help of a mentor. An experienced
mentor who has previously published in the SIGDIAL venue will then help
the authors of these flagged papers prepare their submissions for
publication.
Best Paper Awards
In order to recognize significant advancements in dialogue/discourse
science and technology, SIGDIAL 2024 will include best paper awards. All
papers at the conference are eligible for the best paper awards. A
selection committee consisting of prominent researchers in the fields of
interest will select the recipients of the awards.
SIGDIAL 2024 Program Committee
Vera Demberg and Stefan Ultes
Conference Website: https://2024.sigdial.org/ <https://2024.sigdial.org/>
*
Call for Participants: The 1st AraFinNLP Shared Task 2024
Shared-task URL: https://sina.birzeit.edu/arbanking77/arafinnlp/
Registration: https://forms.gle/rAZkRuiiEdjzTDedA
We are excited to announce the first Arabic Financial NLP (AraFinNLP) shared task, which aims to advance Arabic Financial Natural Language Processing (NLP). In today's dynamic financial landscape, the Arab world is witnessing significant growth in its stock markets and financial sectors, highlighting the pivotal role of Financial NLP in this context. AraFinNLP shared task is part of the 2nd ArabicNLP conference, which is co-located with ACL 2024 in Bangkok, Thailand, scheduled for August 16, 2024.
Shared Task Description
The AraFinNLP shared task comprises two subtasks:
Subtask 1: Multi-dialect Intent Detection
Subtask-1 involves Cross-dialect Intent Detection in the banking domain. This subtask is centred around developing models that can accurately classify customer intents from queries in various Arabic dialects. Participants will be provided with a dataset containing queries in English and their corresponding MSA and Palestinian translations. The challenge lies in training models that not only understand MSA and Palestinian but are also adept at interpreting an array of Arabic dialects, such as Gulf, Levantine, and North African. This subtask aims to foster the creation of NLP tools that can seamlessly interact across the diverse linguistic landscape of the Arab world, enhancing customer experience and operational efficiency in the banking sector. The evaluation process for this subtask, combined with the second subtask of Dialectical Translation for Intent Detection, will be designed to comprehensively assess the effectiveness of these models in a real-world, multi-dialectal context.
Subtask 2: Cross-dialect Translation and Intent Preservation
Subtask-2 focuses on the translation from MSA to various Arabic dialects: Palestinian, Saudi, Tunisian, and Moroccan, with the Palestinian dialect provided as a training set. The objective is to retain the original intent in the translated dialects, ensuring that the intent detection is as effective as the MSA examples. This subtask will test the ability of models to adapt MSA banking queries into dialectal Arabic while preserving the semantic integrity, crucial for accurate intent classification, despite the potential complexities introduced by dialectal variations.
In Subtask-2, participants will receive a parallel dataset containing banking queries in both MSA and Palestinian Arabic, and their associated intents. The subtask at hand is to accurately translate these queries into the following Arabic dialects: Palestinian, Saudi, Tunisian, and Moroccan. Participants will use the intent labels to examine if the resulting translations' intents are preserved and aligned with the original MSA queries.
For more details please visit: https://sina.birzeit.edu/arbanking77/arafinnlp/
Important Dates
- February 24, 2024: Shared task announcement.
- March 1, 2024: Release of training and development datasets
- April 5, 2024: Registration deadline.
- April 10, 2024: Test set made available.
- April 22, 2024: Codalab Test system submission deadline.
- May 17, 2024: Shared task papers due date
- June 17, 2024: Notification of acceptance
- July 1, 2024: Camera-ready papers due
- August 16, 2024: ArabicNLP conference
Organising Committee
- Mo El-Haj, Lancaster University, United Kingdom
- Houda Bouamor, Carnegie Mellon University, Qatar
- Saad Ezzini, Lancaster University, United Kingdom
- Ismail Berrada, Mohammed VI Polytechnic University, Morocco
- Sanad Malaysha, Birzeit University, Palestine
- Mohammed Khalilia, Birzeit University, Palestine
- Mustafa Jarrar, Birzeit University, Palestine
- Sultan Almujaiwel, King Saud University, Saudi Arabia
Registration
Registration is now open up until 5 April 2024: https://forms.gle/MuQb9H1Gq2nQoFUg8
We look forward to your participation in the AraFinNLP shared task.
Best wishes,
AraFinNLP Organising Committee
--------------------------------
Dr Mo El-Haj
Senior Lecturer in NLP
Director of Admissions (SCC)
Co-Director of UCREL NLP Group
Natural Language Engineering (NLE) Journal Editorial Board
https://www.cambridge.org/core/journals/natural-language-engineering
Advisory Board of the Natural Language Processing Book Series
https://benjamins.com/catalog/nlp
School of Computing and Communications, Lancaster University
https://www.lancaster.ac.uk/staff/elhaj
@DocElhaj
You may receive emails from me outside what are your typical office hours.
I do not expect you to respond to my email outside your working hours.
*** First Call for Papers ***
IEEE Mobile Cloud 2024
The 12th IEEE International Conference on Mobile Cloud Computing, Services
and Engineering
July 15-18, 2024 | Shanghai, China
https://ieeemobilecloud.com
IEEE Mobile Cloud is a pioneering IEEE sponsored international conference devoted to the
research in mobile, edge, and cloud computing. It covers all aspects of mobile, edge, and
cloud computing from architectures, techniques, tools and methodologies to applications.
This year's conference is scheduled to take place in Shanghai, China, from 15-18 July 2024.
IEEE Mobile Cloud 2024 is part of the IEEE International Congress On Intelligent And Service-
Oriented Systems Engineering offering a broad spectrum of international events, sharing
renowned keynotes and fostering exchange among researchers and practitioners (see common
homepage for all colocated events, https://ieee-cisose-congress.org).
The fusion of mobile communications, computing, and intelligence is catalysing the emergence
of innovative systems and applications that facilitate intelligent resource provisioning, process
extensive data from mobile sensors and interconnected hardware platforms, and bolster the
Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The
pivotal role of current and forthcoming communication technologies, machine learning
implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be
understated. These mobile intelligent applications are poised to revolutionise various facets of
daily life, encompassing domains such as transportation, e-commerce, healthcare, smart
homes, smart cities, social interaction, and more.
Mobile intelligence serves as an inclusive platform for both academic and industrial researchers
to share their latest research insights, experimental findings, and the latest advancements in
industry technologies related to mobile systems, machine learning, edge and cloud computing,
services, and engineering. Leveraging the synergy of mobile communications, machine
intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence
Systems is envisioned to provide a multitude of critical and personalised services across diverse
application domains, ranging from education, transportation, to public health, safety, and
security. Submissions will be evaluated on the criteria of originality, significance, clarity,
relevance, and accuracy.
TOPICS OF INTEREST
They include but not limited to:
Theory, Modelling, and Methodologies
• Mobile cloud computing models, architectures, infrastructures, and platforms
• Mobile intelligence theories, concepts, algorithms, and methodologies
• Mobile cloud data management
• Mobile cloud tools, middleware, and data centres
• Mobile intelligence as a service
• Mobile networking, protocols, and technologies
• Quality of service (QoS)
• Mobile intelligence security and privacy
Applications and Industry Practice
• Mobile intelligence for autonomous driving systems, V2X, intelligent transportation systems
(ITS), telematics
• Mobile intelligence for robotics, unmanned aerial vehicles (UAVs), and unmanned ground
vehicles (UGVs)
• Mobile intelligence for sensor networks, Industrial IoT, industrial 4.0, and industry 5.0
• Mobile intelligence for future wireless technologies, 5G/6G, WiFi, Satellite, etc.
• Mobile intelligence for aviation, airports, and railway
• Mobile intelligence for Augmented Reality/Virtual Reality (AR/VR)
• Mobile intelligence for computer vision and video analytics
• Mobile intelligence for surveillance and disaster management
• Mobile intelligence for healthcare
• Mobile intelligence for the metaverse
• Mobile intelligence for smart city
• Mobile intelligence for satellite
• Mobile intelligence for mission-critical systems
• Mobile intelligence for community services and social networking
• Mobile intelligence computing for sustainable development
PAPER SUBMISSION GUIDELINES
Papers must be written in English. All papers must be prepared in the IEEE double column
proceedings format. Please see the following link for details:
https://www.ieee.org/conferences/publishing/templates.html .
All accepted conference papers will be published by IEEE Computer Society and IEEE Explore
digital library with EI-index. Selected papers will be recommended to SCI-index journals
as special issue papers.
The paper length should be up to 8 pages for regular conference papers and 6 pages for
work-in-progress papers. Submitted papers should contain original work and not being
submitted elsewhere. Each paper must be presented by an author at the conference.
Presentations via teleconference are not permitted. Permissions to have the paper presented
by a qualified substitute presented may be granted by the TCP Chairs under extraordinary
circumstances, upon written request.
Submissions should be made via Easy Chair using the following link:
https://easychair.org/my/conference?conf=imc24 .
IMPORTANT DATES
• Abstract submission: March 31st, 2024 (AoE)
• Paper submission: April 7th, 2024 (AoE)
• Notification of acceptance: May 15th, 2024
• Final manuscript submission: May 22nd, 2024
• Author registration: May 22nd, 2024
• Conference: July 15th-18th, 2024
COMMITTEES
General Chairs
• Hiroyuki Sato, University of Tokyo, Japan
• Yan Bai, University of Washington Tacoma, USA
Program Chairs
• Lan Zhang, Clemson University, USA
• Sun Yao, The University of Glasgow, Scotland, UK
• Tomoki Watanabe, Kanagawa Institute Technology, Japan
• Fan Wu, Shanghai Jiao Tong University, China
Publicity Chair
George Angelos Papadopoulos, University of Cyprus, Cyprus
Program Committee
• Ouri Wolfson, University of illinois
• Felix Beierle, University of Würzburg
• Thomas Richter, Rhein-Waal University of Applied Sciences
• Dan Grigoras, University College Cork
• Sergio Ilarri, University of Zaragoza
• Iulian Sandu Popa, University of Versailles Saint-Quentin & INRIA Saclay-Ile-de-France
• Haiping Xu, University of Massachusetts Dartmouth
• Prasad Calyam, University of Missouri
• Dana Petcu, West University of Timisoara
• Fabio Costa, Federal University of Goias
• Cristian Borcea, New Jersey Institute of Technology
• Lei Huang, Prairie View A&M University
• Chunsheng Zhu, Southern University of Science and Technology
• Xuyun Zhang, Macquarie University
• Jia Zhao, Changchun Institute of Technology
• Richard Han, University of Colorado Boulder
CISOSE General Chairs
• Jerry Gao, San Jose State University, USA
• Iraklis Varlamis, Harokopio University of Athens, Greece
CISOSE Steering Committee
• Jerry Gao, San Jose State University, USA
• Guido Wirtz, University of Bamberg, Germany
• Huaimin Wang, NUDT, China
• Jie Xu, University of Leeds, UK
• Wei-Tek Tsai, Arizona State University, USA
• Axel Kupper, TU Berlin, Germany
• Hong Zhu, Oxford Brookes University, UK
• Longbin Cao, University of Technology Sydney, Australia
• Cristian Borcea, New Jersey Institute of Technology, USA
• Sato Hiroyuki, University of Tokyo, Japan