The Association of Cyber Forensics and Threat Investigators (ACFTI) is an
ambitious, non-profit technical organization focusing on the academics and
practitioners of cybersecurity, digital forensics, incident response, and
threat investigations and their influence on society. Our main aim is to
inspire the next generation of underrepresented groups to flourish by
creating a learning community of students, professors, and industry
professionals. It connects future cybersecurity practitioners on campus
with leading professionals
On behalf of the Association of Cyber Forensics and Threat Investigators
(ACFTI), I am pleased to invite you to the new DFIR stream lecture/seminar
series.
The presentation is a maximum of 1 hour in length, with an audience of
about 60+, made up of researchers, practitioners, and cybersecurity
students from underrepresented groups. Our goal is to shine a spotlight on
the broad array of new advances in cybersecurity science and operations
currently adopted in the industry. This session will be conducted online.
It will be fantastic to have any hands-on topics related to cyber forensics
and/or Cybercrime
Your discussion on this topic will be a great addition to our event.
Expressions of interest to present from anyone doing research or applying
cybersecurity techniques to practical or theoretical applications related
to the interactions between cyber forensics and threat investigations can
be sent as a summary of your work (c.300 words) to
https://dfir.stream/call-for-guest-speakers
Thank you in advance for your consideration, and we are very much looking
forward to hearing from you.
To get more news about our events, please join our low-traffic announcement
group @ https://groups.google.com/g/acfti
Best regards,
Andrew Zayin Ph.D., CISSP, CISM, CRISC, CDPSE, PMP
ACFTI Secretariat
________________________________________________________
Association of Cyber Forensics and Threat Investigators
https://www.acfti.org
Twitter: @acfti
****We apologize for multiple postings of this e-mail****
IberLEF 2024 Task - HOPE: Approaching Hope Speech Detection in Social
Media from Two Perspectives, for Equality, Diversity and Inclusion and as
Expectations
Held as part of the evaluation forum IberLEF 2024
<https://sites.google.com/view/iberlef-2024/home?authuser=0> in the 40th
edition of the International Conference of the Spanish Society for Natural
Language Processing (SEPLN 2024
<http://sepln2024.infor.uva.es/en/front-page-english/>)
Valladolid, Spain, 24-27 September 2024
Codalab link: https://codalab.lisn.upsaclay.fr/competitions/17714
Dear All,
Hope, a crucial aspect of human psychology, profoundly shapes emotions,
behavior, and mood, influencing how individuals perceive and navigate
challenges (Bruininks and Malle, 2005; Snyder, 1994, 2000). High levels of
hope correlate with positive outcomes such as academic success and lower
depression rates, while low hope is associated with diminished well-being
(Snyder, 2002; Snyder et al., 1997; Diener, 2009). Despite its
significance, hope has been underexplored in Natural Language Processing
(NLP) until recent years. Efforts have been made to integrate NLP
techniques into the analysis of hope through shared tasks, like those
organized in ACL 2022, RANLP 2023, and IberLEF 2023 (Chakravarthi et al.,
2022; Kumaresan et al., 2023; Jiménez-Zafra et al., 2023). The upcoming
IberLEF 2024 edition aims to delve deeper into hope from two angles: hope
for equality, diversity, and inclusion, and hope as expectations. This
edition promises to expand understanding by examining hope across different
domains and languages, thus addressing crucial questions in hope speech
detection research. Two tasks are outlined in this description, each
focusing on different aspects of hope.
-
Task 1: It centers on "Hope for Equality, Diversity, and Inclusion,"
emphasizing the importance of hope speech in mitigating hostility and
supporting individuals facing challenges like illness, stress, or
loneliness, particularly within vulnerable groups such as the LGBT
community and racial minorities. This task consists of giving a Spanish
tweet, identifying whether it contains hope speech or not. The possible
categories for each text are:
-
hs: hope speech.
-
nhs: non hope speech.
-
Task 2: It delves into "Hope as Expectations," highlighting hope's role
as an anticipatory mindset shaping human emotions and behaviors, especially
in the context of social media where expressions are abundant. This task
aims to analyze hope speech's presence in English and Spanish texts,
focusing on binary hope speech detection and multiclass hope speech
detection. The subtask are presented as follows,
-
Subtask 2a- Binary Hope speech detection: A given text in
English/Spanish will be classified as:
-
Hope
-
Not Hope
-
Subtask 2b- Multiclass Hope speech detection: A given text in
English/Spanish will be classified as:
-
Generalized Hope
-
Realistic Hope
-
Unrealistic Hope
-
Not Hope
In both tasks, there will be a real-time leaderboard and the participants
will be allowed to make a maximum of 10 submissions through CodaLab, from
which each team will have to select the best one for ranking.
The dataset details and registration are available at:
https://codalab.lisn.upsaclay.fr/competitions/17714
Best regards,
The HOPE 2024 organizing committee
Important dates
-
Release of training + development corpora: Feb 16, 2024.
-
Release of test corpora and start of evaluation campaign: April 1, 2024.
-
End of evaluation campaign (deadline for runs submission): Apr 16, 2024.
-
Publication of official results: Apr 18, 2024.
-
Paper submission: May 14, 2024.
-
Review notification: Jun 11, 2024.
-
Camera-ready submission: Jun 28, 2024.
-
IberLEF Workshop (SEPLN 2024): Sep 27, 2024.
-
Publication of proceedings: Sep ??, 2024.
Organizing Committee
-
Daniel García-Baena, SINAI, Universidad de Jaén, Spain.
-
Fazlourrahman Balouchzahi, CIC IPN, Mexico.
-
Salud María Jiménez-Zafra, SINAI, Universidad de Jaén, Spain.
-
Sabur Butt, Institute for the Future of Education (IFE) at Tecnológico
de Monterrey, Mexico.
-
Miguel Ángel García-Cumbreras, SINAI, Universidad de Jaén, Spain.
-
Atnafu Lambebo Tonja, Centro de Investigación en Computación, Instituto
Politécnico Nacional (IPN), Mexico.
-
José Antonio García-Díaz, UMUTeam, Universidad de Murcia, Spain.
-
Selen Bozkurt, Department of Biomedical Informatics, School of Medicine,
Emory University.
-
Bharathi Raja Chakravarthi, University of Galway, Ireland.
-
Hector G. Ceballos, Institute for the Future of Education (IFE) at
Tecnologico de Monterrey, Mexico.
-
Rafael Valencia-García, UMUTeam, Universidad de Murcia, Spain.
-
Grigori Sidorov, CIC IPN, Mexico.
-
L. Alfonso Ureña-López, SINAI, Universidad de Jaén, Spain.
-
Alexander Gelbukh, CIC IPN, Mexico.
*Sabur Butt, Ph.D. *(He/Him)
Institute for the Future of Education (IFE)
*Tecnológico de Monterrey, Mexico*
Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L.
LinkedIn <https://www.linkedin.com/in/saburb> - GitHub
<https://github.com/saburbutt> - Scholar
<https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website
<https://saburbutt.github.io/>
Dear colleagues,
The deadline for the GEM shared task submissions on multilingual
data-to-text generation and summarization is now less than 10 days
away! Note that you can pre-register your systems until the submission
date (April 5th). More information on the
GEM website <https://gem-benchmark.com/shared_task>.
Regards,
simon, on behalf of the GEM human evaluation team
*ADAPT Research Centre / Ionaid Taighde ADAPT*
*School of Computing, Dublin City University, Glasnevin Campus
/ Scoil na Ríomhaireachta,
Campas Ghlas Naíon, Ollscoil Chathair Bhaile Átha Cliath*
KONVENS 2024: Second Call for Papers
We warmly welcome the submission of papers for KONVENS 2024, scheduled from September 9 to 13, 2024, at the University of Vienna, Austria. In addition to its technical program, KONVENS will facilitate dynamic interactions among academic researchers and industry peers, offering workshops, tutorials, shared tasks, and networking events.
Confirmed keynote: Jana Diesner (TU München)
See https://konvens-2024.univie.ac.at/ for more information!
PAPER SUBMISSION INFORMATION
We invite submissions of original and unpublished works in the fields of research, development, applications, and evaluation, encompassing all aspects of natural language processing, from fundamental inquiries to the practical implementation of natural language resources, components, and systems. We particularly encourage submissions of NLP approaches dedicated to the German language, including survey papers that provide insights into the current state of the art in German language and speech processing. We welcome contributions from both academic and industry professionals.
We welcome the following types of paper submissions:
* Long papers (8 pages plus references and appendix), describing original research with substantial new results.
* Short papers (4 pages plus references and appendix), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources.
* Long and short papers can be submitted for archival publication, published in the ACL Anthology, and there is the option of non-archival submission. In the case of non-archival submission, only the abstract of the paper (max. 200 words) will be published on our website and the paper will not be part of the conference proceedings.
Accepted papers will be presented orally or as posters as determined by the program chairs. The decisions will be based on the nature rather than the quality of the work. The conference language is English. Only contributions written in English will be accepted. Each submission must include a mandatory discussion of Ethical Considerations as well as a section on Limitations (both sections do not count towards the page limit). Papers without these sections will be desk-rejected. The review process will be double-blind. Submissions must be anonymized accordingly. The conference proceedings will be published via the ACL Anthology (archival submissions only).
Papers must be formatted in accordance with the ACL style sheet: https://github.com/acl-org/acl-style-files. We strongly encourage authors to use LaTeX in preparing their document.
Papers must be submitted electronically via OpenReview: https://openreview.net/group?id=KONVENS/2024/Conference
IMPORTANT DATES
* April 30th, 2024: Paper submission due (all submission types)
* June 30th, 2024: Notification of acceptance
* July 15th, 2024: Camera-ready papers due
* September, 9th-13th, 2024: KONVENS
CONFERENCE STIPEND
GSCL is offering stipends for students in the field of computational linguistics (including PhD students) covering conference fees and (partially) travel costs for attending KONVENS 2024. For more information, see: https://gscl.org/activities/conference-stipend/
Mit freundlichen Grüßen / Best regards
the KONVENS-2024 organization team
konvens-2024(a)googlegroups.com
https://konvens-2024.univie.ac.at/
--
Univ.-Prof. Dr. Benjamin Roth
Digitale Textwissenschaften
Universität Wien
Kolingasse 14
Raum 5.17
1090 Wien
email: benjamin.roth(a)univie.ac.at
tel: +43 14277 79513
virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee
video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09
web: https://dm.cs.univie.ac.at/team/person/112089/
[Apologies for cross-posting]
Dear Corpora list members,
We welcome submissions for the *4th edition of the CPSS workshop,
co-located with KONVENS'24, in Vienna, Austria on 13th September 2024.*
Keeping with the theme of text-as-data and NLP techniques for studying
political and social phenomena, you can submit both archival papers (short
or long) or non-archival abstracts. Closely related themes include (but are
not limited to):
-
Modeling political communication with NLP (e.g. topic classification,
position measurement)
-
Mining policy debates from heterogeneous textual sources
-
Modeling complex social constructs (e.g. populism, polarization,
identity) with NLP methods
-
Political and social bias in language models
- ... and more!
*Important Dates*
- Submission deadline: 14 June 2024
- Notification of acceptance: 2 August 2024
- Camera ready deadline: 12 August 2024
- Workshop: 13 September 2024
Papers can be submitted through Easychair via
https://easychair.org/conferences/?conf=cpss2024
More details: https://sites.google.com/view/cpss2024konvens/home-page
Best,
CPSS'24 organizers (Christopher Klamm, Gabriella Lapesa, Simone Paolo
Ponzetto, Ines Rehbein, Indira Sen)
A PhD and two postdoc positions on natural language understanding are now available at the Pioneer Centre for AI<https://www.aicentre.dk/>. You can read more about the positions here<https://www.aicentre.dk/jobs>.
PhD Fellowship on Factual Text Generation
While recent large language models demonstrate surprising fluency and predictive capabilities in their generated text, they have been demonstrated to generate factual inaccuracies even when they have encoded truthful information. This limits their utility and safety in real world scenarios where guarantees of factuality are needed. To address this, the project will explore methods for improving the factuality of text generation with respect to both objective real-world facts and provided source documents.
We are looking for candidates with a background in computer science, machine learning, natural language processing, computational social science, or similar. The candidate should have an interest in automatic text generation and fact checking. They should also have an interest in interdisciplinary research endeavors, including at the Pioneer Center for AI. Early research experience, especially with empirical research methods, or relevant industry experience, will be a bonus.
The principal supervisor is Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> and the co-supervisor is Dustin Wright<mailto:dw@di.ku.dk>.
Application deadline: 1 April 2024. Apply here<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>.
Postdoctoral Fellowship on NLP for Computational Social Science
The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing.
NLP is becoming an increasingly powerful tool for social scientists. Yet, the intersection between the two disciplines is still poorly explored, with research in the two disciplines often being conducted as separate streams. The goal of this project is to research methods which can more directly be useful for downstream social science applications. One such application is to analyse common narratives in news, which requires methods including (interpretable) topic modelling, framing detection, social media analysis, etc. The successful candidate will be affiliated with a larger initiative on narrative analysis, spanning different content modalities, with the autonomy to define their project in this larger context.
The research will be conducted in collaboration with researchers at the Pioneer Centre for Artificial Intelligence’s Speech and Language Collaboratory, CopeNLU<https://www.copenlu.com/> and the Belongie Lab<https://www.belongielab.org/>. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk>.
Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161353>.
Postdoctoral Fellowship on Multi-Modal Fact Checking
The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing.
Online content can include multiple different modalities, ranging from text to images or tables. Increasingly, detecting false information requires the understanding of a combination of these modalities and the relationship between them. This project will focus on developing general-purpose multi-modal methods for automatic fact checking in various domains, such as scientific publications, news or social media. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> or Assistant Professor Desmond Elliot<mailto:de@di.ku.dk>.
Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161352>.
Isabelle Augenstein, Dr. Scient., Ph.D.
Professor and Head of the NLP Section, Department of Computer Science (DIKU)
Co-Lead, Pioneer Centre for Artificial Intelligence
University of Copenhagen
Østervold Observatory
Øster Voldgade 3
1350 Copenhagen
augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>
http://isabelleaugenstein.github.io/
DLnLD: Deep Learning and Linked Data — Last Call for Paper
Workshop colocated with LREC-COLING 2024,
Date: May 21, 2024
Submissions due: 9th March 2024
Venue: Torino, Italy and online
For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/>
Call for Papers
----------------------------------------------------------------------------------------
What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP.
----------------------------------------------------------------------------------------
Motivations for the Workshop
Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023).
The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)).
Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases.
Submission Topics
This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics:
• Deep Learning for Linguistic Linked Data, among which (but not exclusively):
• Modelling, Resources & Interlinking,
• Relation Extraction
• Corpus annotation
• Ontology localization
• Knowledge/Linguistic Graphs creation or expansion
• Linguistic Linked Data for Deep Learning, among which (but not exclusively):
• Linguistic/Knowledge Graphs as training data
• Fine tuning LLMs using Linguistic Linked (meta)Data
• Graph Neural Networks
• Knowledge/Linguistic Graphs embeddings
• LLOD for model explainability/sourcing
• Neural models for under-resourced languages
• Joint Deep Learning and Linguistic Data applications
• Use cases combining Language Models and Structured Linguistic Data
• LLOD and DL for Digital Humanities
• Question-Answering on graph data
All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data.
Important Dates
All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)
• Submissions due: 9th March 2024 (Hard deadline: there will be no deadline extension)
• Notification of acceptance: 2nd April 2024
• Camera-ready due: 12th April 2024
Authors kit
All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/>
Paper submission
Submission is electronic at https://softconf.com/lrec-coling2024/dlnld2024/ <https://softconf.com/lrec-coling2024/dlnld2024/>
Workshop Chairs
• Gilles Sérasset, Université Grenoble Alpes, France
• Hugo Gonçalo Oliveira, University of Coimbra, Portugal
• Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania
Program Committee
• Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France
• Russa Biswas, Hasso Plattner Institute, Potsdam, Germany
• Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan
• Michael Cochez, Vrije Universiteit Amsterdam, Netherlands
• Milan Dojchinovski, Czech Technical University in Prague, Czech Republic
• Basil Ell, University of Oslo, Norway
• Robert Fuchs, University of Hamburg, Germany
• Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia
• Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania
• Katerina Gkirtzou, Athena Research Center, Maroussi, Greece
• Jorge Gracia del Río, University of Zaragoza, Spain
• Dagmar Gromann, University of Vienna, Austria
• Dangis Gudelis, Mykolas Romeris University, Lithuania
• Ilan Kernerman, Lexicala by K Dictionaries, Israel
• Chaya Liebeskind, Jerusalem College of Technology, Israel
• Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy
• Heiko Paulheim, University of Mannheim, Germany
• Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil
• Georg Rehm, DFKI GmbH, Berlin, Germany
• Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany
• Didier Schwab, Université Grenoble Alpes, France
• Ranka Stanković, University of Belgrade, Serbia
• Andon Tchechmedjiev, IMT Mines Alès, France
• Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia
• Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania
• Nicolas Turenne, Guangdong University of Foreign Studies, China
• Slavko Žitnik, University of Ljubljana, Slovenia
**
*Dear all,*
*
We are excited to extend an invitation to you for a series of five
workshops designed to demonstrate the practical applications of the
CLASSLA web corpora <https://arxiv.org/abs/2403.12721>in language
research. The CLASSLA-Express workshops will take place from April to
September 2024 in 4 countries and 5 cities: Croatia (Zagreb and Rijeka),
Serbia (Belgrade), North Macedonia (Skopje) and Slovenia (Ljubljana).
The workshops will provide hands-on experience in using the CLARIN.SI
NoSketch Engine concordancer <https://www.clarin.si/ske/#open>to extract
valuable insights on word meanings, usage, collocations, and grammatical
patterns from Croatian
<https://www.clarin.si/ske/#concordance?corpname=classlaweb_hr>,
Macedonian
<https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>, Serbian
<https://www.clarin.si/ske/#concordance?corpname=classlaweb_sr>and
Slovene
<https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>corpora.
The workshops are free of charge.
The workshops are tailored for university students of South Slavic
languages, linguists, lexicographers, language teachers, and digital
humanities scholars.
The registration is already open for the workshops in Zagreb, Rijeka and
Belgrade! We will make sure to let you know when the registrations in
Skopje and Ljubljana open as well.
Here are the details of the workshops:
*
19 April 2024 – CLASSLA-Express stop in Zagreb, Croatia (Faculty of
Humanities and Social Sciences, University of Zagreb). Registration
is open – register by filling this form
<https://docs.google.com/forms/d/e/1FAIpQLSfVE3VVmBYeQzgZjZO2Om1cRQPCPbPnENp…>.
More information about the programme and location is available here.
<https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…>
*
26 April 2024 – CLASSLA-Express stop in Rijeka, Croatia (Center for
Language Research, Faculty of Humanities and Social Sciences,
University of Rijeka). Registration is open – register by filling
this form
<https://docs.google.com/forms/d/e/1FAIpQLScWoarqWZQuLTaDGfVQYHpeXfKSlMNb_d2…>.
More information about the programme and location is available here.
<https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…>
*
29 May 2024 – CLASSLA-Express stop in Belgrade, Serbia
(International conference Leksikografski susreti, Faculty of
Philology, University of Belgrade). Registration is open – register
by filling this form
<https://docs.google.com/forms/d/e/1FAIpQLScLpDUEmJnA43hEASWNWeuCe_3a01hPZLg…>.
More information about the programme and location is available here.
<https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…>
*
4 June 2024 – CLASSLA-Express stop in Skopje, North Macedonia (Blaže
Koneski Faculty of Philology, Ss. Cyril and Methodius University).
Registration is not open yet – we will let you know when it opens.
*
18 September 2024 – CLASSLA-Express stop in Ljubljana, Slovenia
(Language Technologies & Digital Humanities Conference 2024,
University of Ljubljana). Registration is not open yet – we will let
you know when it opens.
We warmly welcome you to join us at the nearest workshop location. For
registration and further details, please visit
https://www.clarin.si/info/k-centre/workshops/classla-express/
<https://www.clarin.si/info/k-centre/workshops/classla-express/>
We would also like to kindly ask you to spread the word among
researchers, students and other interested colleagues.
Warm regards,
The CLASSLA-Express team: Ivana Filipović Petrović, Jelena Parizoska,
Taja Kuzman and Nikola Ljubešić
*
Dear Colleagues,
We are researchers from the ItaliaNLP Lab (http://www.italianlp.it/) at the
Institute of Computational Linguistics at the National Research Council in
Pisa, Italy. We are conducting a study aimed at designing and developing
solutions to promote the practice of leisure reading.
Our activities are part of the research project "Letture Per Te - LETTERE"
funded by the Region of Tuscany in the context of the "Regional Pact for
Reading" (DGR 463/2019).
We'd like to invite you to contribute to our research by taking part in a
survey to collect data on the enjoyment of reviews written by amateur
readers. We ask participants to rate some reviews of fiction books based on
three parameters: informativeness, style and appreciation.
Participation in the survey is voluntary and takes about 17 minutes.
The only requirement for taking part in the survey is being *Italian native
speakers*.
Your answers will help us understand which aspects influence the liking of
a novel review and what makes them more or less appealing.
To involve a wide audience, we are spreading this invitation through this
mailing list. Please share this e-mail with your colleagues who might be
interested in participating.
To fill out the survey, please follow this link:
https://forms.gle/JmCcDwjYnf32p8Ns8
We thank you in advance for your help. Please do not hesitate to contact us
if you have any questions about the survey.
Best regards,
Chiara Alzetta <chiara.alzetta(a)ilc.cnr.it>
Alessio Miaschi <alessio.miaschi(a)ilc.cnr.it>
Giulia Venturi <giulia.venturi(a)ilc.cnr.it>
====
SEMANTiCS - 20th International Conference on Semantic Systems
Amsterdam, The Netherlands
September 17 - 19, 2024
https://2024-eu.semantics.cc/ <https://2024-eu.semantics.cc/>
====
The Research and Innovation track at SEMANTiCS 2024 welcomes papers on
novel scientific research and innovations relevant to the Semantic Web,
Semantic Technologies, and semantic-enabled AI. We also welcome
submissions at the intersection between this field and other scientific
disciplines. Submissions should be original and should not have been
published elsewhere in any form or language. Papers must adhere to the
instructions given in the submission guidelines, including references
and optional appendices. Each submission will receive at least three
independent reviews and will be evaluated based on their novelty,
technical quality, reproducibility, and practical significance.
= Important Dates =
* Abstract Submission Deadline: April 22, 2024
* Paper Submission Deadline: April 29, 2024
* Notification of Acceptance: June 11, 2024
* Camera-Ready Paper: July 09, 2024
All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12)
Submissions will be through Easychair.
https://easychair.org/conferences/?conf=sem24
<https://easychair.org/conferences/?conf=sem24>
Proceedings of SEMANTiCS 2024 EU will be made available open access. The
publisher will be TIB Open Publishing.
SEMANTiCS 2024 calls for submissions of excellent quality addressing the
following topics in the Semantic Web area, from both theoretical and
practical perspectives.
= Topics of Interest =
* Topics of interest include, but are not limited to:
* Web Semantics & Linked (Open) Data
* Enterprise Knowledge Graphs, Graph Data Management
* Machine Learning Techniques for/using Knowledge Graphs (e.g.
reinforcement learning, deep learning, data mining and knowledge discovery)
* Interplay between generative AI and Knowledge Graphs (e.g., RAG approach)
* Knowledge Management (e.g. acquisition, capture, extraction,
authoring, integration, publication)
* Terminology, Thesaurus & Ontology Management, Ontology engineering
* Reasoning, Rules, and Policies
* Natural Language Processing for/using Knowledge Graphs (e.g. entity
linking and resolution using target knowledge such as Wikidata and
DBpedia, foundation models)
* Crowdsourcing for/using Knowledge Graphs
* Data Quality Management and Assurance
* Mathematical Foundation of Knowledge-aware AI
* Multimodal Knowledge Graphs
* Semantics in Data Science
* Semantics in Blockchain environments
* Trust, Data Privacy, and Security with Semantic Technologies
* IoT, Stream Processing, dealing with temporal data
* Conversational AI and Dialogue Systems
* Provenance and Data Change Tracking
* Semantic Interoperability (via mapping, crosswalks, standards, etc.)
* Linked Data storage, triple stores, graph databases
* Robust and scalable management, querying and analysis of semantics and
data
* User interfaces for the Semantic Web & its management
* Explainable and Interoperable AI
* Decentralised and Federated Knowledge Graphs (e.g., Federated
querying, link traversal)
Application of Semantically-Enriched and AI-Based Approaches, such as,
but not limited to:
* Knowledge Graphs in Bioinformatics, Medical AI and preventive healthcare
* Clinical Use Case of semantic-enabled AI-based Approaches
* AI for Environmental Challenges
* Semantics in Scholarly Communication and Scientific Knowledge Graphs
* AI and LOD within GLAM (galleries, libraries, archives, and museums)
institutions
* Knowledge Graphs & hybrid AI for predictive maintenance and Industry
4.0/5.0
* Digital Humanities and Cultural Heritage
* LegalTech, AI Safety, EU AI Act
* Economics of Data, Data Services, and Data Ecosystems
= Author Guidelines and Submission =
For Submission Guidelines and Review and Evaluation Criteria please head
to the online call for papers:
https://2024-eu.semantics.cc/page/cfp_rev_rep
<https://2024-eu.semantics.cc/page/cfp_rev_rep>
For details please go to: https://2024-eu.semantics.cc/
<https://2024-eu.semantics.cc/>
We are looking forward to your contribution!
Mehwish Alam, Femke Ongenae & Angelo Salatino
Research and Innovation Track Chairs