BioLaySumm 2024
The 2nd Shared Task on the Lay Summarization of Biomedical Research
Articles @BioNLP Workshop, ACL 2024
Biomedical publications contain the latest research on prominent
health-related topics, ranging from common illnesses to global pandemics.
This can often result in their content being of interest to a wide variety
of audiences including researchers, medical professionals, journalists, and
even members of the public. However, the highly technical and specialist
language used within such articles typically makes it difficult for
non-expert audiences to understand their contents. The BioLaySumm shared
task surrounds the abstractive summarization of biomedical articles, with
an emphasis on catering to non-expert audiences through the generation of
summaries that are more readable, containing more background information
and less technical terminology (i.e., a “lay summary”).
This is the 2nd iteration of BioLaySumm, following the success of the 1st
edition of the task at BioNLP 2023 which attracted 56 submissions across 20
different teams. In this edition, which is again to be hosted by the BioNLP
workshop <https://aclweb.org/aclwiki/BioNLP_Workshop> at ACL 2024, we aim
to build on last year’s task by introducing a new test set, updating our
evaluation protocol, and encouraging participants to explore novel
approaches that will help to further advance the state-of-the-art for
Lay Summarization.
Accordingly, we will not only be offering a prize of £100 to the team with
the top-ranking submission, but we will also offer a second prize of £50 to
the team that proposes the most innovative approach (as decided upon by the
task organizers).
For more information, see:
- Main site: https://biolaysumm.org/
- CodaBench site: https://www.codabench.org/competitions/1920/
Important dates:
- First call for participation: 22nd January, 2024
- Releasing of task data: 22nd January, 2024
- System submission deadline: May 6th, 2024
- System papers due date: May 20th, 2024
- Notification of acceptance: June 17th, 2024
- Camera-ready system papers due: July 1st, 2024
- BioNLP Workshop Date: August 16th, 2024
Organizers:
- Tomas Goldsack, University of Sheffield, UK
- Matthew Shardlow, Manchester Metropolitan University, UK
- Carolina Scarton, University of Sheffield, UK
- Chenghua Lin, University of Manchester, UK
*Apologies for Cross Posting*
Calling all NLP, Digital Humanities and media analysis enthusiasts!
Participate in the "Framing the Israel War on Gaza" (FIGNEWS) shared task
and play a pivotal role in shaping media narrative research. [image: 📚] Engage
in creating guidelines, annotating a diverse multilingual corpus, and
pushing the boundaries of NLP!
*Task Website and Registration :*
https://sites.google.com/view/fignews
*🎯 Task Highlights:*
*Guidelines Creation*: Craft comprehensive annotation guidelines and set a
benchmark in NLP research.
*Annotation*: Dive into annotating news articles in Arabic, Hebrew, Hindi,
French, and English, uncovering biases and enhancing our understanding of
media narratives. The teams will be asked to annotate a minimum of 2,000
posts. Teams will ideally have 4 members with a minimum of 2 members to
participate.
*Two Sub-Tasks*: The shared task aims to serve as a collaborative platform
where participants propose guidelines and diverse methods for annotating
and analyzing the dataset.
There will be two subtasks of focus:
*Sub-Task 1: Bias Annotation *
*Sub-Task 2 : Propaganda Annotation*
*🏆 Tracks & Awards:*
*Quantity Track:* Be the team with the most annotated data batches and win
the quantity track award.
*Quality Track*: Excel in the accuracy and consistency of your annotations
to dominate the quality track.
*Guidelines Track*: Develop innovative and effective guidelines to be
recognized in the guidelines track.
*📅 Deadlines:*
*Registration closes: March 31, 2024Submission deadline (Annotation and
Guidelines): April 30, 2024Paper submissions: May 10, 2024*
🌍 Be part of this significant event, co-located with the prestigious
ArabicNLP 2024 conference and ACL 2024 in Thailand. Enhance your skills,
contribute to vital research, and network with global experts in NLP and
media studies.
Join us to make an impact and advance the field of NLP! #NLP #MediaAnalysis
#ArabicNLP2024
Call for Submissions — SIGIR 2024 Workshop on Information Retrieval for Climate Impact
Climate change is a far-reaching, global phenomenon that will impact many aspects of our society. The evidence base for observed climate impacts is expanding, and the wider climate literature is growing exponentially. How can effective access be provided to the growing body of peer-reviewed literature on climate change impact?
Purpose
The emphasis will be on discussion, not a mini-conference but a dynamic sharing of ideas. The workshop will be organized along four areas of interest: (i) Information needs in climate impact; (ii) Search and analysis of formal literature for climate impact; (iii) Search and analysis of informal publications for climate impact; and (iv) Resources to support IR for climate impact. During the workshop, we will work towards creating actionable technical research agendas for each of them.
Call for contributions
To help shape a research agenda for information retrieval for climate impact, we welcome technical contributions and position papers as extended abstracts (2-4 pages) on a wide range of topics, on a wide range of topics related to information retrieval for climate impact, including but not limited to very large-scale systematic reviews, climate language models, geolocated literature with climate information, evidence synthesis.
Important dates
- April 25, 2024: Extended abstracts due
- May 23, 2024: Notifications
- July 18, 2024: Workshop at SIGIR 2024
- December 1, 2024: Submission of the Information Retrieval for Climate Impact Agenda for publication in SIGIR Forum
How to submit
Extended abstracts submitted to the workshop should be in English, in PDF, and formatted using the standard ACM sigconf format (using \documentclass[sigconf, natbib=true, anonymous=false]{acmart}). The review process is single-blind. The workshop uses EasyChair to handle submissions: https://easychair.org/conferences/?conf=manila24. No official proceedings will be published.
Organization
Bart van den Hurk (IPCC), Maarten de Rijke (U. Amsterdam), Flora Salim (UNSW, Sydney)
Workshop site
https://sites.google.com/view/ir-for-climate-impact/home
Contact
manila24(a)easychair.org
--
Maarten de Rijke
Distinguished University Professor AI & IR
University of Amsterdam
http://staff.fnwi.uva.nl/m.derijke
Event Notification Type: Call for Participation
Website: <https://sites.google.com/view/autextification>
https://sites.google.com/view/iberautextification
We kindly invite you to participate in the IberLEF 2024 shared task -
Iber AuTexTification
Automated Text Identification on Languages of the Iberian Peninsula
This shared task will take place as part of IberLEF 2024
<https://sites.google.com/view/iberlef-2024/tasks>, the 6th Workshop on
Iberian Languages Evaluation Forum at the SEPLN 2024 Conference, which will
be held in Valladolid, Spain on the 26th of September, 2023.
This is the second version of the AuTexTification at IberLEF 2023 shared
task (Sarvazyan et al., 2023). We extend our previous task in three
dimensions: more models, more domains and more languages from the Iberian
Peninsula (in a multilingual fashion), aiming to build more generalizable
detectors and attributors. In this task, participants must develop models
that exploit clues about linguistic form and meaning to identify
automatically generated texts from a wide variety of models, domains, and
languages. We plan to include LLMs like GPT-3.5, GPT-4, LLaMA, Coral,
Command, Falcon, MPT, among others. New domains like essays, or dialogues,
and cover the most prominent languages from the Iberian Peninsula: Spanish,
Catalan, Basque, Galician, Portuguese, and English (in Gibraltar). We
propose two different subtasks:
-
Subtask 1 (Human or Generated): Participants will be provided a text,
and they will have to determine whether the text has been automatically
generated or not. We encourage participants to develop models that
generalize to new LLMs, writing styles, and domains.
-
Subtask 2 (Model Attribution): Participants will be provided an
automatically generated text, and they will have to determine what LLM
generated it.
The novelty of this edition is to detect in a multilingual (languages from
the Iberian peninsula such as Spanish, English, Catalan, Gallego, Euskera,
and Portuguese), multi-domain (news, reviews, essays, dialogues, Wikipedia,
wikiHow, tweets, emails, etc.), and multi-model (GPT, LLaMA, Mistral,
Cohere, Anthropic, MPT, Falcon, etc.) setup, whether a text has been
automatically generated or not, and, if generated, identify the model that
generated the text. The datasets of this edition are built using TextMachina
<https://github.com/Genaios/TextMachina>, a Python framework that aids the
creation of high-quality, unbiased datasets to build robust models for
MGT-related tasks such as detection, attribution, boundary, and mix-case
detection.
To foster engagement and reward dedication, we will award the best
participant in each subtask with 500€ sponsored by Genaios
<https://genaios.ai/>.
Important Links
-
Task Website <https://sites.google.com/view/iberautextification>
-
GitHub Repository <https://github.com/Genaios/IberAuTexTification>
-
Slack workspace
<https://join.slack.com/t/iberautextification/shared_invite/zt-2c28ezgwy-lHH…>
-
Google Groups <https://groups.google.com/g/iberautextification>
-
Registration <https://sites.google.com/view/iberautextification/data>
Important Dates
-
March 22, 2023: Release of training data
-
April 21, 2023: Release of test data
-
May 10, 2023: Participant system results submission
-
May 17, 2023: Results notification
-
June 3, 2023: Paper submission
-
June 16, 2023: Paper peer-reviewed
-
July 4, 2023: Camera-ready paper version
Task organizers
-
José Ángel González (Genaios <https://genaios.ai/>) Contact Email:
jose.gonzalez(a)genaios.ai
-
Areg Sarvazyan (Genaios <https://genaios.ai/>) Contact Email:
areg.sarvazyan(a)genaios.ai
-
Marc Franco-Salvador (Genaios <https://genaios.ai/>)
-
Francisco Rangel (Genaios <https://genaios.ai/>)
-
Paolo Rosso (Universitat Politècnica de València <https://www.upv.es/>)
Please reach out to the organizers <organizers.autextification(a)gmail.com>
or join the Slack
<https://join.slack.com/t/iberautextification/shared_invite/zt-2c28ezgwy-lHH…>
workspace to connect with the other participants and organizers.
*** Second Call for Papers ***
12th IEEE International Conference on Intelligent Systems (IS'24)
Invited Session on Intelligent Tools for e/m/d Learning
August 29-31, 2024, Golden Sands Resort, Varna, Bulgaria
https://www.ieee-is.org
(*** Submission Deadline: April 1, 2024 AoE ***)
This invited session aims to explore state-of-the-art advancements in intelligent tools
designed to revolutionize the landscape of e-learning (electronic learning), m-learning
(mobile learning) and d-learning (digital learning). With the rapid integration of technology
into education, there is a growing need to investigate and showcase innovative intelligent
solutions that can enhance the effectiveness of online, mobile and digital learning
environments. Intelligent solutions for the educational context can have a groundbreaking and
revolutionary impact on learners and faculty alike, with integrated educational tools offering
enhanced engagement, support for different learning levels, styles and abilities, and
personalized learning experiences with immediate feedback at its core.
Papers submitted to this session are expected to present results on various aspects of
intelligent tools for e-learning, m-learning and d-learning. Topics may include but are not
limited to adaptive learning systems, personalized learning experiences, artificial
intelligence-driven content creation, data analytics for educational insights, and the integration
of emerging technologies such as augmented reality and virtual reality in educational settings.
Authors are encouraged to share empirical research, case studies, and practical
implementations that demonstrate the impact of intelligent tools on learner/faculty
engagement, knowledge retention, and overall educational outcomes. The session aims to
provide a comprehensive overview of the current state-of-the-art in intelligent tools in
e-learning, m-learning and d-learning, fostering discussions on their implications for the
future of education and their potential to address challenges in diverse learning
environments and educational levels, as well as diverse learner ability.
PAPER SUBMISSION INSTRUCTIONS
Submitted papers should be in IEEE 2-column format and should adhere to the template
available here: https://www.ieee-is.org/wp-content/uploads/2024/02/IS_A4_format-AAu.docx
The expected paper length in camera-ready format should not exceed 6 pages.
Submissions should be done in PDF using Easy Chair and the submission link is:
https://easychair.org/conferences/?conf=itl24 .
PUBLICATION
All accepted papers will be included in the IS'24 proceedings to be published by IEEE. The
proceedings of the previous editions of IS can be found here:
https://ieeexplore.ieee.org/xpl/conhome/1000395/all-proceedings .
Traditionally, extended versions of conference-selected papers appear within 1-2 years after
the conference dates in well-known international iournals and/or post-conference books.
More information can be found on the conference web site
(https://www.ieee-is.org/publication-information/ ).
CONTACT POINT
For any additional information or clarification please contact the Invited Session Chair,
George A. Papadopoulos at george(a)ucy.ac.cy .
IMPORTANT DATES
• Paper submission: April 1, 2024, AoE
• Notification: May 15, 2024
• Camera Ready: June 6, 2024
• Author Registration: June 6, 2024
ORGANISATION
Committees
https://www.ieee-is.org/program-committee/
Invited Session Chair
• George A. Papadopoulos, University of Cyprus, Cyprus (george(a)ucy.ac.cy)
Deadline EXTENDED: Saturday, March 16, 2024, 11:59pm UTC-12
The 19th Workshop on Innovative Use of NLP for Building Educational
Applications (BEA 2024)
Location: Mexico City (co-located with NAACL 2024)
Date: Thursday, June 20 or Friday, June 21, 2024 (TBD)
Website: https://sig-edu.org/bea/current
*Submission Deadline: *Saturday, March 16*, 2024, 11:59pm UTC-12*
WORKSHOP DESCRIPTION
The BEA Workshop is a leading venue for NLP innovation in the context of
educational applications. It is one of the largest one-day workshops in the
ACL community with over 100 registered attendees in the past several years.
The growing interest in educational applications and a diverse community of
researchers involved resulted in the creation of the Special Interest Group
in Educational Applications (SIGEDU)
<https://www.aclweb.org/adminwiki/index.php?title=2019Q3_Reports:_SIGEDU> in
2017, which currently has over 390 members.
The 19th BEA workshop will have a keynote by Alla Rozovskaya
<https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY), an
invited paper presentation by a member of one of the educational societies
from the International Alliance to Advance Learning in the Digital Era (
IAALDE <https://alliancelss.com/>), oral presentation sessions, and a large
poster session to maximize the amount of original work presented. This
year, the workshop is also hosting two shared tasks: on Automated
Prediction of Item Difficulty and Item Response Time
<https://sig-edu.org/sharedtask/2024> and on Multilingual Lexical
Simplification <https://sites.google.com/view/mlsp-sharedtask-2024>. We
expect that the workshop will continue to highlight novel technologies and
opportunities for educational NLP in English as well as other languages.
The workshop will solicit long, short and demo papers for either oral or
poster presentation.
We will solicit papers that incorporate NLP methods, including, but not
limited to:
- use of LLMs and generative AI in educational contexts
- automated scoring of open-ended textual and spoken responses;
- automated scoring/evaluation for written student responses (across
multiple genres);
- game-based instruction and assessment;
- educational data mining;
- intelligent tutoring;
- collaborative learning environments;
- peer review;
- grammatical error detection and correction;
- learner cognition;
- spoken dialog;
- multimodal applications;
- annotation standards and schemas;
- tools and applications for classroom teachers, learners and/or test
developers; and
- use of corpora in educational tools.
INVITED TALKS
The workshop will feature a keynote by Alla Rozovskaya
<https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY) and
an invited talk by a speaker from one of the IAALDE
<https://alliancelss.com/> societies.
IMPORTANT DATES
All deadlines are 11.59 pm UTC-12 (anywhere on earth).
- Submission Deadline: *Saturday, March 16*, 2024
- Notification of Acceptance: Sunday, April 14, 2024
- Camera-ready Papers Due: Wednesday, April 24, 2024
- Workshop: Thursday, June 20 or Friday, June 21, 2024 (TBD)
SUBMISSION INFORMATION
We will be using the ACL Submission Guidelines for the BEA Workshop this
year. Authors are invited to submit a long paper of up to eight (8) pages
of content, plus unlimited references; final versions of long papers will
be given one additional page of content (up to 9 pages) so that reviewers’
comments can be taken into account. We also invite short papers of up to
four (4) pages of content, plus unlimited references. Upon acceptance,
short papers will be given five (5) content pages in the proceedings.
Authors are encouraged to use this additional page to address reviewers’
comments in their final versions. We generally follow ACL submission
guidelines <https://aclrollingreview.org/cfp> and will require that all
submitted papers should include a dedicated "Limitations" section, which
does not count toward the page limit.
Papers which describe systems are also invited to give a demo of their
system. If you would like to present a demo in addition to presenting the
paper, please make sure to select either “long paper + demo” or “short
paper + demo” under “Submission Category” in the START submission page.
Previously published papers cannot be accepted. The submissions will be
reviewed by the program committee. As reviewing will be blind, please
ensure that papers are anonymous. Self-references that reveal the author’s
identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided.
Instead, use citations such as “Smith previously showed (Smith, 1991) …”.
We have also included conflict of interest in the submission form. You
should mark all potential reviewers who have been authors on the paper, are
from the same research group or institution, or who have seen versions of
this paper or discussed it with you.
We will be using the START conference system to manage submissions:
*https://softconf.com/naacl2024/BEA2024*
<https://softconf.com/naacl2024/BEA2024/>
DOUBLE SUBMISSION POLICY
We will follow the official ACL double-submission policy
<https://aclrollingreview.org/cfp>. Specifically:
Papers being submitted both to BEA and another conference or workshop must:
- Note on the title page the other conference or workshop to which
they are being submitted.
- State on the title page that if the authors choose to present their
paper at BEA (assuming it was accepted), then the paper will be withdrawn
from other conferences and workshops.
ORGANIZING COMMITTEE
- Ekaterina Kochmar <https://ekochmar.github.io/about/>, MBZUAI
- Marie Bexte
<
https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>,
FernUniversität in Hagen
- Jill Burstein <https://sites.google.com/site/jbursteinets/>, Duolingo
- Andrea Horbach
<
https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>,
FernUniversität in Hagen
- Ronja Laarmann-Quante
<https://www.ltl.uni-due.de/team/ronja-laarmann-quante>, Ruhr University
Bochum
- Anaïs Tack <https://anaistack.github.io/>, KU Leuven
- Yaneva <http://www.victoriayaneva.info/>, National Board of
Medical Examiners
- Zheng Yuan <https://www.cl.cam.ac.uk/~zy249/>, King’s College London
Workshop contact email address: bea.nlp.workshop(a)gmail.com
PROGRAM COMMITTEE
Tazin Afrin (Educational Testing Service); Erfan Al-Hossami (UNC
Charlotte); Desislava Aleksandrova (CBC/Radio-Canada); Giora Alexandron
(Weizmann Institute of Science); David Alfter (University of Gothenburg);
Jatin Ambasana (Unitedworld School of Computational Intelligence);
Alejandro Andrade (Pearson); Nischal Ashok Kumar (University of
Massachusetts Amherst); Berk Atil (Penn State University); Shiva Baghel
(Data Scientist); Rabin Banjade (University of Memphis); Michael Gringo
Angelo Bayona (Trinity College Dublin); Lee Becker (Pearson); Lisa Beinborn
(VU Amsterdam); Luca Benedetto (University of Cambridge); Jeanette
Bewersdorff (FernUniversität in Hagen); Abhidip Bhattacharyya (CICS UMass);
Serge Bibauw (UCLouvain); Ted Briscoe (MBZUAI); Jie Cao (University of
Colorado Boulder); Dumitru-Clementin Cercel (University POLITEHNICA of
Bucharest); Jeevan Chapagain (University of Memphis); Mei-Hua Chen
(Department of Foreign Languages and Literature, Tunghai University); Mark
Core (University of Southern California); Steven Coyne (Tohoku University);
Sam Davidson (UC Davis); Orphee De Clercq (LT3, Ghent University); Kordula
De Kuthy (University of Tübingen); Jasper Degraeuwe (Ghent University); Yo
Ehara (Tokyo Gakugei University); Yang Deng (Singapore); Chris Develder
(Ghent University - imec, Belgium); Yuning Ding (FernUniversität in Hagen);
Rahul Divekar (Bentley University); George Dueñas (Universidad Pedagogica
Nacional); Mariano Felice (British Council); Nigel Fernandez (University of
Massachusetts Amherst); Michael Flor (Educational Testing Service);
Jennifer Frey (Institute for Applied Linguistics, Eurac Research); Kotaro
Funakoshi (Tokyo Institute of Technology); Thomas Gaillat (Université
Rennes 2); Diana Galvan-Sosa (Tohoku University); Ashwinkumar Ganesan
(UMBC, Amazon); Rujun Gao (Texas A&M University); Ritik Garg (IIITD);
Christian Gold (FernUniversität in Hagen); Sebastian Gombert (DIPF |
Leibniz Institute for Research and Information in Education); Cyril Goutte
(National Research Council Canada); Abigail Gurin Schleifer (The Weizmann
Institute of Science); Handoko Handoko (Universitas Andalas); Ching Nam
Hang (Department of Computer Science, City University of Hong Kong);
Jiangang Hao (Educational Testing Service); Nicolas Hernandez (Nantes
University - LS2N); Heiko Holz (Ludwigsburg University of Education);
Chieh-Yang Huang (Penn State University); Chung-Chi Huang (Frostburg State
University); Anna Huelsing (Universität Hildesheim); Joseph Marvin Imperial
(University of Bath, National University); Radu Tudor Ionescu (University
of Bucharest); Qinjin Jia (North Carolina State University); Helen Jin
(University of Pennsylvania); Ioana Jivet (Goethe University Frankfurt);
Léane Jourdan (University of Nantes); Anisia Katinskaia (University of
Helsinki); Elma Kerz (RWTH Aachen Univeristy); Fazel Keshtkar (St. John's
University, NY); Mamoru Komachi (Hitotsubashi University); Roland Kuhn
(National Research Council of Canada (NRC)); Alexander Kwako (University of
California, Los Angeles); Kristopher Kyle (University of Oregon); Antonio
Laverghetta Jr. (University of South Florida); Seolhwa Lee (Technical
University of Darmstadt); Arun Balajiee Lekshmi Narayanan (University of
Pittsburgh); Yudong Liu (Western Washington University); Zhexiong Liu
(University of Pittsburgh); Julian Lohmann (Christian-Albrechts-Universität
zu Kiel); Anastassia Loukina (Grammarly Inc.); Jiaying Lu (Emory
University); Crisron Rudolf Lucas (UCD); Jakub Macina (ETH Zurich); Nitin
Madnani (ETS); Arianna Masciolini (Språkbanken Text, Department of Swedish,
Multilingualism, Language Technology, University of Gothenburg); Sandeep
Mathias (Presidency University, Bangalore); Hunter McNichols (University of
Massachusetts Amherst); Amit Kumar Mishra (Amity University Madhya
Pradesh); Masato Mita (CyberAgent); Phoebe Mulcaire (Duolingo); Laura Musto
(Facultad de Información y Comunicación, Universidad de la República);
Farah Nadeem (The World Bank); Sungjin Nam (ACT, Inc); Diane Napolitano
(Associated Press); Arun Balajiee Lekshmi Narayanan (University of
Pittsburgh); Tanya Nazaretsky (EPFL); Kamel Nebhi (Education First); Hwee
Tou Ng (National University of Singapore); Huy Nguyen (Amazon);
Gebregziabihier Nigusie (Mizan-Tepi University); Christina Niklaus
(University of St.Gallen); S Jaya Nirmala (NIT Trichy India); Eda Okur
(Intel Labs); Kostiantyn Omelianchuk (Grammarly); Amin Omidvar (York
University); Ulrike Pado (Hochschule für Technik Stuttgart); Chanjun Park
(Upstage); Udita Patel (Amazon); Long Qin (Alibaba Cloud); Mengyang Qiu
(University at Buffalo); Martí Quixal (University of Tübingen); Manav
Rathod (Glean); Hanumant Redkar (Goa University); Robert Reynolds (Brigham
Young University); Frankie Robertson (University of Jyväskylä); Aiala Rosá
(Universidad de la República); Alla Rozovskaya (City University of New
York); Josef Ruppenhofer (Fernuniversität in Hagen); Omer Salem; Nicy
Scaria (Indian Institute of Science); Nils-Jonathan Schaller
(Christian-Albrechts-Universität zu Kiel); Gyu-Ho Shin (University of
Illinois Chicago); Mayank Soni (ADAPT Center, Trinity College Dublin);
Katherine Stasaski (Salesforce AI Research); Helmer Strik (Radboud
University Nijmegen); Hakyung Sung (University of Oregon); Abhijit Suresh
(Reddit Inc.); Chee Wei Tan (Nanyang Technological University); Zhongwei
Teng (Duolingo); Xiaoyi Tian (University of Florida); Sowmya Vajjala
(National Research Council, Canada); Giulia Venturi (Institute for
Computational Linguistics "A. Zampolli"); Anthony Verardi (Duolingo English
Test); Elena Volodina (University of Gothenburg, Sweden); Taro Watanabe
(Nara Institute of Science and Technology); Michael White (The Ohio State
University); Alistair Willis (The Open University, UK); Man Fai Wong (City
University of Hong Kong); Simon Woodhead (Eedi); Changrong Xiao (Tsinghua
University); Roman Yangarber (University of Helsinki); Su-Youn Yoon
(EduLab); Marcos Zampieri (George Mason University); Fabian Zehner (DIPF |
Leibniz Institute for Research and Information in Education); Torsten Zesch
(FernUniversität in Hagen); Jing Zhang (Emory University); Yiyun Zhou
(NBME); Jessica Zipf (University of Konstanz); Michael Zock (CNRS, (LIF)
University of Aix-Marseille); Bowei Zou (Institute for Infocomm Research
(I2R), A*STAR, Singapore).
**************************(Apologies for cross-posting)**********************************
Third Call for Papers:
The 5th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from
people with various forms of cognitive/psychiatric/developmental impairments"
Workshop: co-located with LREC-COLING 2024 | Turin, Italy | May 21st, 2024
RaPID-5 serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-5 is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities.
Submission deadline: Sun., 17th of March, 2024 (anywhere on earth)
Paper submission: https://softconf.com/lrec-coling2024/rapid2024/
Website with submission details: https://spraakbanken.gu.se/en/rapid-2024
Contact: Dimitrios Kokkinakis
Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se>
Invited Speakers:
* Dr. Alexandra König, BSc MSc PhD, Institut national de recherche en informatique et en automatique (INRIA); Cobtek (Cognition; Behaviour; Technology) Lab; University Côte d'Azur, France
* Prof. Maria Liakata, EPSRC/UKRI Turing Institute AI fellow, Queen Mary University of London, UK
Organizing committee:
* Kathleen C. Fraser, National Research Council, Canada;
* Dimitrios Kokkinakis, University of Gothenburg, Sweden;
* Kristina Lundholm Fors, Lund University, Sweden;
* Charalambos K. Themistocleous, University of Oslo, Norway;
* Athanasios Tsanas, The University of Edinburgh, UK;
* Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden
************************************************************************************
**The 6th Workshop on Open-Source Arabic Corpora and Processing Tools (Hybrid) with shared tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation**
The workshop will be conducted in a *hybrid* format to ensure maximum participation, accommodating attendees both online and in-person.
Submission deadline extended to * March 4 *, 2024 (final extension)
*Workshop site* : https://osact-lrec.github.io/
*shared tasks:*
Task 1: Arabic LLMs Hallucination (contact Hamdy Mubarak), Link: https://sites.google.com/view/arabic-llms-hallucination
Task 2: Dialect to MSA Machine Translation (contact Kareem Darwish), Link: https://codalab.lisn.upsaclay.fr/competitions/17118
*Co-located with LREC-COLING 2024*
https://lrec-coling-2024.org/
Turin, Italy, 20-25 May 2024
* Important Dates*
Submission deadline extended to * March 4 *, 2024 (final extension)
Notification of acceptance: March 25, 2024
Camera-ready papers due: March 30, 2024
Workshop date: May 25, 2024
*Workshop Description*
In the computational linguistics (CL), natural language processing (NLP), and information retrieval (IR) communities, Arabic is considered to be relatively resource-poor compared to English. This situation was thought to be the reason for the limited number of language resources -based studies in Arabic. However, the past few years witnessed the emergence of new considerably large and free classical and Modern Standard Arabic (MSA) as well as dialectical corpora and to a lesser extent Arabic processing tools.
This workshop follows the footsteps of previous editions of OSACT to provide a forum for researchers to share and discuss their ongoing work. This workshop is timely given the continued rise in research projects focusing on Arabic Language Resources. The sixth workshop comes to encourage researchers and practitioners of Arabic language technologies, including CL, NLP and IR to share and discuss their latest research efforts, corpora, and tools. The workshop will also give special attention to Large Language Models (LLMs) and Generative AI, which is a hot topic nowadays. In addition to the general topics of CL, NLP and IR, the workshop will give a special emphasis on two shared tasks, namely: Arabic LLMs Hallucination and Dialect to MSA Machine Translation.
*Submissions Topics*
Language Resources:
- Pre-trained Arabic language models and their applications.
- Surveying and evaluating the design of available Arabic corpora, their associated and processing tools.
- Availing new annotated corpora for NLP and IR applications such as named entity recognition, machine translation, sentiment analysis, text classification, and language learning.
- Evaluating the use of crowdsourcing platforms for Arabic data annotation.
- Open source Arabic processing toolkits.
Tools and Technologies:
Language education, e.g., L1 and L2.
- Language modeling and pre-trained models.
- Tokenization, normalization, word segmentation, morphological analysis, part-of-speech tagging, etc.
- Sentiment analysis, dialect identification, and text classification.
- Dialect translation.
- Fake news detection.
- Web and social media search and analytics.
- Issues in the design, construction, and use of Arabic LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data.
- Guidelines, standards, best practices, and models for LRs interoperability.
- Methodologies and tools for LRs construction and annotation.
- Methodologies and tools for extraction and acquisition of knowledge.
- Ontologies, terminology, and knowledge representation.
- LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.).
Issues in the design, construction and use of Arabic LRs:
- Guidelines, standards, best practices and models for LRs interoperability.
- Methodologies and tools for LRs construction and annotation.
- Methodologies and tools for extraction and acquisition of knowledge.
- Ontologies, terminology and knowledge representation.
- LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.).
*Submissions*
- Submission Instructions: https://lrec-coling-2024.org/authors-kit/
- Submission Link: https://softconf.com/lrec-coling2024/osact2024/
*Workshop organizers*
- Hend Al-Khalifa ( King Saud University, KSA)
- Hamdy Mubarak (Qatar Computing Research Institute, Qatar)
- Kareem Darwish (aiXplain Inc., US)
- Tamer Elsayed (Qatar University, Qatar)
- Mona Ali (Northeastern University, Canada)
*** CAiSE'24 Forum: Last Mile for Papers and Tool Demonstrations Submisions ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: 11th March, 2024 AoE (extended) ***)
(*** Proceedings will be published by Springer in LNBIP ***)
The CAiSE Forum is a space within the CAiSE conference to present and discuss the new
exciting ideas and tools related to Information Systems Engineering. The Forum intends to
serve as an interactive platform, encourage potential authors to present emerging topics and
controversial positions, and demonstrate innovative systems, tools, and applications. The
Forum sessions at the CAiSE conference will facilitate the interaction, discussion, and
exchange of ideas among presenters and participants. Contributions to the CAiSE'24 Forum
are welcome to address any of the CAiSE'24 conference topics and, particularly, this year's
theme—Information Systems in the Age of Artificial Intelligence.
We invite two types of submissions:
• Visionary papers present innovative research projects, which are still at a relatively early
stage and do not necessarily include a full-scale validation. Visionary papers will be
presented as posters in the Forum.
• Demo papers describe innovative tools and prototypes that implement the results of
research efforts. The tools and prototypes will be presented as demos in the Forum,
accompanied by a poster.
Both visionary papers and demo papers must not exceed 8 pages in LNCS format.
See authors' guidelines at the Springer site:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… .
Papers should be submitted in PDF format through the conference management system
available at Easy Chair (https://easychair.org/my/conference?conf=caise2024) and select the
Forum option.
The submitted papers must be unpublished and must not be under review elsewhere.
PUBLICATION AND PRESENTATIONS
Accepted papers will be published by Springer in a CAiSE Forum proceedings volume within
the Lecture Notes in Business Information Processing (LNBIP) series
(https://www.springer.com/series/7911). Authors should consult Springer's authors
guidelines and use their LaTeX or Word proceedings templates for the preparation of their
papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the
corresponding author of each paper, acting on behalf of all of the authors of that paper,
must complete and sign a Consent-to-Publish form. The corresponding author signing the
copyright form should match the corresponding author marked on the paper. Once the files
have been sent to Springer, changes relating to the authorship of the papers cannot be made.
It is expected that at least one of the authors attends CAiSE'24, presents the poster/delivers
the demo, and interacts with the Forum participants. We also envision a short oral
presentation for all papers to attract participants to the posters.
IMPORTANT DATES
• Paper Submission Deadline: 11th March, 2024 (extended) (AoE)
• Notification of Acceptance: 1st April, 2024
• Camera-ready Deadline: 8th April, 2024
• Author Registration Deadline: 8th April, 2024
FORUM CHAIRS
• Shareeful Islam, Anglia Ruskin University, United Kingdom
• Arnon Sturm, Ben-Gurion University of the Negev, Israel
FORUM COMMITTEE
• Steven Alter, University of San Francisco
• Abel Armas Cervantes, The University of Melbourne
• Giuseppe Berio, Université de Bretagne Sud and IRISA UMR 6074
• Drazen Brdjanin, University of Banja Luka
• Corentin Burnay, University of Namur
• Cinzia Cappiello, Politecnico di Milano
• Suphamit Chittayasothorn, King Mongkut's Institute of Technology Ladkrabang
• Maya Daneva, University of Twente
• Sergio de Cesare, University of Westminster
• Johannes De Smedt, KU Leuven
• Marne de Vries, University of Pretoria
• Michael Fellmann, University of Rostock
• Christophe Feltus, Luxembourg Institute of Science and Technology
• Hans-Georg Fill, University of Fribourg
• Janis Grabis, Riga Technical University
• Sergio Guerreiro, INESC-ID / Instituto Superior Técnico
• Martin Henkel, Stockholm University
• Jennifer Horkoff, Chalmers University of Technology
• Shareeful Islam, Anglia Ruskin University
• Janis Kampars, RTU
• Evangelia Kavakli, University of the Aegean
• Marite Kirikova, Riga Technical University
• Janne J. Korhonen, Aalto University
• Elena Kornyshova, CNAM
• Agnes Koschmider, University of Bayreuth
• Chung Lawrence, University of Texas at Dallas
• Henrik Leopold, Kühne Logistics University
• Tong Li, Beijing University of Technology
• Beatriz Marín, Universidad Politecnica de Valencia
• Andrea Marrella, Sapienza University of Rome
• Raimundas Matulevicius, University of Tartu
• Jose Ignacio Panach Navarrete, Universitat de València
• Oscar Pastor, Universidad Politécnica de Valencia
• Francisca Pérez, Universidad San Jorge
• Pierluigi Plebani, Politecnico di Milano
• Manuel Resinas, University of Seville
• Genaina Rodrigues, University of Brasilia
• Ben Roelens , Open Universiteit, Ghent University
• Mattia Salnitri, Politecnico di Milano
• Stefan Strecker, University of Hagen
• Arnon Sturm, Ben-Gurion University of the Negev
• Irene Vanderfeesten, Katholieke Universiteit Leuven
• Yves Wautelet, Katholieke Universiteit Leuven
• Hans Weigand, Tilburg University
• Manuel Wimmer, Johannes Kepler University Linz
• Anna Zamansky, University of Haifa
Dear Corpora list community,
We are happy to announce that the HOMO-MEX 2024 shared task has officially
started. In one week we will release the training datasets and the
codabench site.
You can see the details for the shared task on our website:
https://sites.google.com/view/homomex/home
We’ll be happy to see you all participating!
Regards,
Helena Gómez-Adorno
on Behalf of the Task Organizing Committee