*CheckThat! Lab at CLEF 2023*
We invite you to participate in the 2023 edition of the CheckThat! Lab at
CLEF 2023. This year, we feature five tasks ---one follow-up and four
new--- that correspond to important components within and around the full
fact-checking pipeline in multiple languages:
*Task 1 Check-worthiness in tweets*: This is the sixth round of the
check-worthiness task. It allows us to reduce the workload of listening to
social media for tweets and claims that would require the attention of a
journalist. We offer two task modalities.
Subtask 1A: Multimodal tweets including text and picture (for the first
time!). Available in *Arabic *and English.
Subtask 1B: Unimodal tweets and claims. Available in *Arabic*, English and
Spanish.
Subtask 1C: US political debates, text only. Available in English
*Task 2 Subjectivity in news articles*: Distinguish whether a sentence from
a news article expresses the subjective view of the author behind it or
presents an objective view on the covered topic instead. Available in
*Arabic*, Dutch, English, Italian, German, and Turkish.
*Task 3 Political bias of news articles and news media:* Detect political
bias of news reporting at the article and at the media level. It includes
two subtasks:
Subtask 3A: Given an article, classify its political leaning as left,
center or right.
Subtask 3B: Given the URL to a news outlet (e.g., www.cnn.com), predict the
overall political bias of that news outlet as left, center or right leaning.
Available in English.
*Task 4 Factuality of reporting of news media:* Identify the factuality of
reporting at the media level. Given the URL to a news outlet the task asks
to predict the factuality of reporting of that news outlet: low, mixed, and
high. Available in English.
*Task 5 Authority finding on twitter: *Given a tweet stating a rumor, a
model has to retrieve a ranked list of authority Twitter accounts that can
help verify the rumor; i.e. they may tweet evidence that supports or denies
the rumor. Available in Arabic.
Further information: https://checkthat.gitlab.io/
Datasets: https://gitlab.com/checkthat_lab/clef2023-checkthat-lab
Register and participate:
https://clef2023-labs-registration.dei.unipd.it/registrationForm.php
Important Dates
---------------------
November 2022: Lab registration opens
December 2022: Release of the training materials
April 2023: Lab registration closes
May 2023: Beginning of the evaluation cycle
May 2023: End of the evaluation cycle (run submission)
May 2023: Deadline for the submission of working notes
June 2023: Notification of acceptance of working notes
July 2023: Deadline for submission of camera-ready working notes
July 2023: Preview of working notes
18-21 September: CLEF 2023 Conference in Thessaloniki, Greece
*Best,*
The CLEF-2023 CheckThat! Lab Shared Task Organizers
----
*Wajdi Zaghouani, Ph.D.*
*Assistant Professor*
College of Humanities and Social Sciences
P.O. Box 34110 | Education City | Doha, Qatar
tel: +974 4454 5601 | mob: +974 33454992
wzaghouani(a)hbku.edu.qa| Office A141, LAS Building
*
Call for Participation
*
*
The 4thSlav-NER Shared Task on
Named Entities in Slavic Languages: <http://bsnlp.cs.helsinki.fi/shared-task.html>
Recognition, Normalization, Classification and Cross-Lingual Linking <http://bsnlp.cs.helsinki.fi/shared-task.html>
**
co-located with the Slav-NLP <http://bsnlp.cs.helsinki.fi/>Workshop, EACL 2023
http://bsnlp.cs.helsinki.fi/shared-task.html <http://bsnlp.cs.helsinki.fi/shared-task.html>
TASK DESCRIPTION:
The 4thSlav-NER Shared Task focuses on Named Entities in Slavic languages.
Due to rich inflection, free word order, derivation, and other phenomena common to the Slavic languages, work on Named Entities poses important challenges. Fostering research & development on the problems of Named Entities — detecting names, lemmatization (normalization), classification, and cross-lingual matching — is crucial for information access and wider use of NLP in Slavic languages.
The 4thSlav-NER Shared Task covers three languages:
*
Czech,
*
Polish,
*
Russian.
and five types of named entities:
*
persons,
*
locations,
*
organizations,
*
events,
*
products.
For information about training and test data, guidelines, and participation, please see the Shared Task Home Page. <http://bsnlp.cs.helsinki.fi/shared-task.html>
IMPORTANT: Participants are NOT required to perform all tasks or for all languages. For example, a monolingual entry, without lemmatization of the names, can participate.
The Shared Task focuses on cross-lingual extraction of named entities — the systems should recognize, classify, and extract all mentions of a name in a document; detecting the positionof each name mention is NOT required. Name mentions should be lemmatized, and mentions referring to the same real-world object should be linked across documents and languages. The text collection consists of sets of documents retrieved from the Web, each set about a certain major entity or event. The corpus was collected by crawling the Web and parsing the HTML documents.
For background, see the details about the1stedition (2017) <http://bsnlp-2017.cs.helsinki.fi/shared_task.html>, 2ndedition (2019) <http://bsnlp.cs.helsinki.fi/bsnlp-2019/shared_task.html>and the3rdedition (2021) <http://bsnlp.cs.helsinki.fi/shared-task.html>of this shared task.
Participation
Teams that wish to participate should register via email to: bsnlp(a)cs.helsinki.fi, with the following information:
*
name of team,
*
team members,
*
contact person,
*
contact email.
Important Dates
*
Shared task announcement: 11 January 2023 ⇒ Training data available
*
Registration deadline: 19 February 2023
*
Release of Testdata to registered participants: 20 February2023
*
Submission of system responses: 22 February 2023
*
Results announced to participants: 24February 2023
*
Submission of shared task papers (optional): 27 February 2023
*
--
Roman Yangarber
Associate Professor, University of Helsinki
Digital Humanities
INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
e-Learning & language learninghelsinki.fi/revita <https://www.helsinki.fi/revita>
Language Learning Labhelsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab>
Unioninkatu 40, Metsätalo A214 mobile: +358 50 41 51 71 3
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
RЯ
<https://www.helsinki.fi/language-learning-lab>
*LaTeCH-CLfL 2023:**
**The 7th Joint SIGHUM Workshop on Computational Linguistics for
Cultural Heritage, Social Sciences, Humanities and Literature*
to be held in May 2023 in conjunction with EACL 2023 in Dubrovnik, Croatia.
https://sighum.wordpress.com/events/latech-clfl-2023/
First Call for Papers (with apologies for cross-posting)
Organisers: Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter,
Stan Szpakowicz
LaTeCH-CLfL 2023 is the seventh in a series of meetings for NLP
researchers who work with data from the broadly understood arts,
humanities and social sciences, and for specialists in those disciplines
who apply NLP techniques in their work. The workshop continues a long
tradition of annual meetings. The SIGHUM Workshops on Language
Technology for Cultural Heritage, Social Sciences, and Humanities
(LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational
Linguistics for Literature (CLfL) took place in 2012-2016. The first six
joint workshops (LaTeCH-CLfL) were held in 2017-2022.
*Topics and Content*
In the Humanities, Social Sciences, Cultural Heritage and literary
communities, there is increasing interest in, and demand for, NLP
methods for semantic and structural annotation, intelligent linking,
discovery, querying, cleaning and visualization of both primary and
secondary data. This is even true of primarily non-textual collections,
given that text is also the pervasive medium for metadata. Such
applications pose new challenges for NLP research: noisy, non-standard
textual or multi-modal input, historical languages, vague research
concepts, multilingual parts within one document, and so no. Digital
resources often have insufficient coverage; resource-intensive methods
require (semi-)automatic processing tools and domain adaptation, or
intense manual effort (e.g., annotation).
Literary texts bring their own problems, because navigating this form of
creative expression requires more than the typical information-seeking
tools. Examples of advanced tasks include the study of literature of a
certain period, author or sub-genre, recognition of certain literary
devices, or quantitative analysis of poetry.
NLP methods applied in this context not only need to achieve high
performance, but are often applied as a first step in research or
scholarly workflow. That is why it is crucial to interpret model results
properly; model interpretability might be more important than raw
performance scores, depending on the context.
More generally, there is a growing interest in computational models
whose results can be used or interpreted in meaningful ways. It is,
therefore, of mutual benefit that NLP experts, data specialists and
Digital Humanities researchers who work in and across their domains get
involved in the Computational Linguistics community and present their
fundamental or applied research results. It has already been
demonstrated how cross-disciplinary exchange not only supports work in
the Humanities, Social Sciences, and Cultural Heritage communities but
also promotes work in the Computational Linguistics community to build
richer and more effective tools and models.
Topics of interest include, but are not limited to, the following:
• adaptation of NLP tools to Cultural Heritage, Social Sciences,
Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• linking and retrieving information from different sources,
media, and domains;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities,
Social Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical
use of language.
*Information for Authors*
We invite papers on original, unpublished work in the topic areas of the
workshop. In addition to long papers, we will consider short papers and
system descriptions (demos). We also welcome position papers.
• Long papers, presenting completed work, may consist of up to
eight (8) pages of content plus additional pages of references (just two
if possible -:). The final camera-ready versions of accepted long papers
will be given one additional page of content (up to 9 pages) so that
reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the
description of a system, and may consist of up to four (4) pages of
content plus additional pages of references (one if you can). Upon
acceptance, short papers will be given five (5) content pages in the
proceedings.
• A position paper — clearly marked as such — should not exceed
eight (8) pages including references.
All submissions are to use the EACL stylesheets (for LaTeX / Overleaf
and MS Word), posted at https://2023.eacl.org/calls/styles. Papers
should be submitted electronically, only in PDF, via the LaTeCH-CLfL2023
submission website on the SoftConf pages (we will publish the link as
soon as we have it).
Reviewing will be double-blind. Please do not include the authors’ names
and affiliations, or any references to Web sites, project names,
acknowledgements and so on — anything that immediately reveals the
authors’ identity. Self-references should be kept to a reasonable
minimum, and anonymous citations cannot be used.
Accepted papers will be published in the workshop proceedings available
as usual in the ACL Anthology.
*Important Dates* (tentative)
Papers due: February 13, 2023
Notification of acceptance: March 13, 2023
Camera-ready papers due: March 27, 2023
Workshop date: May 2 or May 6, 2023
*More on the organisers*
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland
University
Anna Kazantseva, National Research Council Canada
Nils Reiter, Department for Digital Humanities, University of Cologne
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa
*Contact*
latech-clfl(a)googlegroups.com
*Apologies for cross-posting*
Postdoctoral Fellowships, National Research Council Canada The NRC
Advantage
Great Minds. One Goal. Canada's Success.
The National Research Council of Canada (NRC) is the Government of Canada's
largest research organization supporting industrial innovation, the
advancement of knowledge and technology development. We collaborate with
over 70 colleges, universities and hospitals annually, work with 800
companies on their projects, and provide advice or funding to over 8000
Small and Medium-sized Enterprises (SMEs) each year.
We bring together the brightest minds to deliver tangible impacts on the
lives of Canadians and people around the world. And now, we want to partner
with you. Let your expertise and inspirations make an impact by joining
the NRC.
At the NRC, we know that diversity enables excellence in research and
innovation. We are committed to a diverse and representative workforce, a
safe and respectful work environment, and contributing to a more inclusive
Canadian innovation system. We welcome all qualified applicants and
encourage you to complete the employment equity self-declaration questions
during the job application process.
The Program
(https://nrc.canada.ca/en/corporate/careers/postdoctoral-fellowship-program)
The NRC’s Postdoctoral Fellowship program offers PDFs access to unique
world-class facilities and the opportunity to work alongside
multi-disciplinary teams of expert researchers and technicians on projects
of critical importance to Canada. PDFs will carry out research on
innovative research projects, with opportunities for career development
(publications and/or industry interaction).
Project I: Multilingual Machine Translation for Transforming Response to
Refugees and Forced Migration
There are more than 103 million displaced persons in the world today. While
English remains the global language of policy exchange and studies,
significant knowledge on refugee issues appears in other languages spoken
where forced migration occurs. Machine translation (MT) improves the
accessibility of relevant publications across different languages and
facilitates fair and inclusive discussion among international stakeholders.
However, challenges with in-domain multilingual neural machine translation
(MNMT) limits the availability of efficient, affordable and manageable MT
with usable translation quality for forced migration responses.
The successful fellow will collaborate with external collaborators to
create an in-domain multiway parallel corpus on forced migration. The
corpus will then enable research on MNMT and its adaptation to the forced
migration domain. Finally, the fellow will research on training MNMT to
translate unseen languages efficiently with minimal resources.
Having compassion about refugees and forced migration issues and ease in
meeting with the forced migration communities around the world would be
beneficial in this role. Due to the topic of the project, the successful
candidate may frequently be working on and with data and clients about
refugees and forced migration issues which may cause triggering responses.
Education Requirement
PhD in Computer Science, Computational Linguistics or related discipline.
Experience Requirement
• Hands on experience in end-to-end MT modelling and training.
• Research experience in MNMT.
• Research experience in parallel corpus building, domain adaptation,
non-English centric MT or low resource MT.
*Asset *
*Assets are “nice-to-have” expertise and competencies we’re interested in.
Not having them should not prevent you from applying.*
• Ability to read Arabic, Spanish, Russian, Ukrainian, Burmese or Pashto
would be an asset.
Further Details and Application Portal
https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Postdoctoral-Fell…
Please contact Dr. Chi-kiu (Jackie) Lo (Chikiu.Lo(a)nrc-cnrc.gc.ca) for any
enquiries about this project.
Project II: Audio search and topic detection for audiovisual corpora in a
polysynthetic Indigenous language NRC is searching for a recent PhD
graduate to develop techniques for speech recognition and/or synthesis,
using untranscribed audio corpora of speech in Indigenous, polysynthetic
languages. Many such languages spoken in Canada have substantial
collections of recorded speech. Language activists, academic linguists, and
radio broadcasters have been recording the speech of Elders for decades,
but so far only a small fraction has been catalogued, annotated, and
transcribed. Thus, there are thousands of hours of recorded speech in
Indigenous languages that are inaccessible in practice.
The project will focus primarily on Inuktut, Cree, and/or Iroquoian
languages. Alternative/additional languages are a possibility if
appropriate datasets become available.
Education Requirement
PhD in computational linguistics, computer science or a related field.
Experience Requirement
• Experience in speech/natural language processing (NLP) technology.
• Experience in either automatic speech recognition or speech synthesis.
• Experience working with Indigenous languages and communities.
Further Details and Application Portal
https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Postdoctoral-Fell…
Please contact Dr. Roland Kuhn (Roland.Kuhn(a)nrc-cnrc.gc.ca) and Dr. Patrick
Littell (Patrick.Littell(a)nrc-cnrc.gc.ca) for any enquiries about this
project.
Condition of Employment
Reliability Status
Who is eligible?
- Fellowships will be for two years contingent on satisfactory progress
achieved during the first year.
- Candidates should have obtained a PhD (or equivalent) within the past
three years (PhD received on or after July 1, 2020) or expect to complete
their PhD within 6 months of appointment.
- Fellows will work in a lab under the direct supervision of an NRC
researcher.
Application Requirements
In order to be considered for the program please include the following in
your application, please note that you will need to attach the required
documents as per the list below when submitting your application. *Failure
to do so will result in your application being excluded from searches.*
- Resume
- Statement of Interest in the project (maximum one page in length)
- PhD Transcript - an electronic copy is sufficient, it does not have to
be an official version.
- List of Publications
In addition, applicants who best meet the requirements of the position will
be asked to provide three letters of recommendation at a later stage of the
competition process.
Relocation
Relocation assistance will be determined in accordance with the NRC's
directives.
Compensation
The intent of this hiring action is to staff through the Postdoctoral
Fellowships Program at the RCO-2/AsRO level, which is an early-career level
position with a salary range of $74,230 to $103,093.
*NOTE:* Salary determination will be based on a review of the candidate’s
expertise, outcomes and impacts of their previous work experience relative
to the requirements of the level.
NRC employees enjoy a wide-range of competitive benefits
<http://nrc.canada.ca/en/corporate/careers/nrc-advantage> including
comprehensive health and dental plans, pension and insurance plans,
vacation and other leave entitlements.
Closing Date:
27 March 2023 - 23:59 Eastern Time
*Dr. Chi-kiu (Jackie) Lo **羅致翹博士*
Research Officer, Multilingual Text Processing
Digital Technologies Research Centre
National Research Council Canada
Government of Canada
Email: Chikiu.Lo(a)nrc-cnrc.gc.ca / Telephone: +1 613-993-5205
M50, 1200 Montreal Road, Ottawa ON, K1A 0R6 Canada
Do you want to work on cutting-edge problems for your Ph.D.?
Come and join the Ph.D. in Data Science @ University of Rome Tor Vergata
<https://datasciencephd.uniroma2.it> https://datasciencephd.uniroma2.it
Special themes:
[1] Privacy in Pre-Trained Language Models: Data leakage from pre-trained
transformers (informal inquiries to
<mailto:fabio.massimo.zanzotto@uniroma2.it>
fabio.massimo.zanzotto(a)uniroma2.it)
[2] Creation of a consolidated data model for ESG (Environment, Social and
Governance ) reporting using Semantic Web formalisms (informal inquiries to
stellato(a)uniroma2.it <mailto:stellato@uniroma2.it> )
The position is opening soon. Check the website (
<https://datasciencephd.uniroma2.it> https://datasciencephd.uniroma2.it)
often.
For the position [1], you will join a vibrant group working on these
projects HitAI <https://sites.google.com/view/hitai> , KATY
<https://katy-project.eu/> , REVERT <https://www.revert-project.eu/> and
more.
For the position [2], you will collaborate with OS-Climate
<https://os-climate.org/>
Dear all,
The Educational Series on Applied Ontology (ESAO) [1] is open for everyone
and welcomes students, researchers and practitioners alike.
The sixth of its regular webinar sessions will be held on *Tuesday, 14th,
2023 at 10:00 EST / 15:00 UTC / 16:00 CET / 17:00 SAST* via a Zoom meeting
(full connection details at the end of this message):
https://univ-tlse2.zoom.us/j/94831243675?pwd=NXpaalpLalQ5UTd3emNUR2VTNGpRZz…
No registration needed; please find full connection details at the end of
this message.
Program
-------
* 10:00-10:30 EST / 15:00-15:30 UTC / 16:00-16:30 CET / 17:00-17:30 SAST
Title: Using Abduction to Explain Missing Entailments in OWL Ontologies
Patrick Koopmann, TU Dresden
Abstract: With increasing complexity, understanding and debugging
ontologies becomes a challenging task without the appropriate tool support.
In particular, inferences performed by a reasoner may not always be
straight-forward, meaning they may produce entailments that we did not
expect, or fail to produce entailments that we did expect. While there are
different techniques to explain entailments, this talk focusses on the
problem of explaining why something does not follow from the ontology. In
particular, we explain how abduction may be used towards solving this
issue, and discuss challenges and solutions for performing abduction in
practice.
Series Description
------------------
The IAOA [2] has created ESAO, a new educational effort directed towards
topics of Applied Ontology, primarily established basics and foundations.
The series is inspired by the Interdisciplinary Schools on Applied Ontology
(ISAO) [3] (whose next edition will be held in 2023). ESAO is complementary
in format and its overall approach. The goal is to provide a combination of
an archive of educational material (e.g., short video lectures) and a
series of webinars for presenting and discussing that material.
Organization
------------
Members of the Education Technical Committee of IAOA [2] and among those
primarily (in alphabetical order):
* Lucía Gómez Álvarez
* Frank Loebe
* Sandra Lovrenčić
* Cassia Trojahn (Chair)
* Laure Vieu
Contact
E-Mail: info(a)iaoa.org
[1] Educational Series on Applied Ontology
https://wiki.iaoa.org/index.php/Edu:ESAO
[2] IAOA website
http://iaoa.org/
[3] ISAO History page
https://iaoa.org/index.php/isao-history/
Connection Details
------------------
Topic: ESAO 6th Session
Time: Feb 14, 2023 04:00 PM Paris
Join Zoom Meeting
https://univ-tlse2.zoom.us/j/94831243675?pwd=NXpaalpLalQ5UTd3emNUR2VTNGpRZz…
Meeting ID: 948 3124 3675
Passcode: 710393
Join by SIP
94831243675(a)zoomcrc.com
Join by H.323
162.255.37.11 (US West)
162.255.36.11 (US East)
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213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
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103.122.167.55 (Australia Melbourne)
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149.137.40.110 (Singapore)
64.211.144.160 (Brazil)
69.174.57.160 (Canada Toronto)
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149.137.24.110 (Japan Osaka)
Meeting ID: 948 3124 3675
Passcode: 710393
Join by Skype for Business
https://univ-tlse2.zoom.us/skype/94831243675
Dear all,
We are organising a free event (online and in person) to mark the release of a brand new version of #LancsBox X, a very powerful tool for the analysis of corpora, which is completely free!
Organized by The ESRC Centre for Corpus Approaches to Social Science (https://cass.lancs.ac.uk), Lancaster University, UK. The event will take place online via MS Teams. Attendance in person is also possible.
-powerful tool: billions of words
-new features
-practical examples
Register for free: https://forms.office.com/e/LBLqyZiqX9
I hope to see you at the event!
Best,
Vaclav
Professor Vaclav Brezina
Professor in Corpus Linguistics
Department of Linguistics and English Language
ESRC Centre for Corpus Approaches to Social Science
Faculty of Arts and Social Sciences, Lancaster University
Lancaster, LA1 4YD
Office: County South, room C05
T: +44 (0)1524 510828
[8ED5AC37]@vaclavbrezina
[B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>
*The Second Ukrainian Natural Language Processing Workshop (UNLP 2023)*
<https://unlp.org.ua/>
*Update: *February 20, 2023 — Workshop paper due
*Call For Papers*
UNLP 2023 <https://unlp.org.ua/call-for-papers/> will be held online in
conjunction with the EACL 2023 conference on May 5 or 6, 2023.
The workshop will bring together academics, researchers, and practitioners
in the fields of Natural Language Processing and Computational Linguistics
who work with the Ukrainian language or do cross-Slavic research that can
be applied to the Ukrainian language.
The workshop will facilitate developments in the processing of
the Ukrainian language, as well as provide a platform for discussion and
sharing of ideas, encourage collaboration between different research
groups, and improve the visibility of the Ukrainian research community.
Topics of interest lie in the area of Ukrainian NLP and Computational
Linguistics and include, but are not limited to, the following tasks:
- morphosyntactic tagging,
- named-entity recognition,
- syntactic and semantic parsing,
- coreference resolution,
- information extraction and text mining,
- automated question answering and information retrieval,
- language modelling and natural language generation,
- grammatical error correction,
- text summarization,
- machine translation,
- sentiment analysis,
- argument mining,
- disinformation detection and fact verification,
- development of language resources and evaluation methods,
- speech recognition and generation,
- knowledge representation and computational pragmatics,
- computational semantics,
- computational methods for phonology,
- cross-Slavic models,
- Ukrainian NLP in interaction with other artificial intelligence
technologies.
*Shared Task*
The Second UNLP features the first *Shared Task in Grammatical Error
Correction for Ukrainian*. The Shared Task focuses on the correction of
grammatical errors and disfluencies, and we see this shared task as an
opportunity to facilitate research of GEC for Slavic languages.
February 12, 2023 — Deadline for registration for the shared task
You can find more details on the web page of the Shared Task
<https://unlp.org.ua/shared-task/>.
*Important dates*
December 22, 2023 — First call for workshop papers
January 9, 2023 — Second call for workshop papers
February 20, 2023 — Workshop paper due (extended)
March 13, 2023 — Notification of acceptance
March 27, 2023 — Camera-ready papers due
May 5 or 6, 2023 — Workshop dates
*Keynote speakers*
Mona Diab <https://www.linkedin.com/in/mona-diab-55946614/>, The George
Washington University, US
Gulnara Muratova <https://www.linkedin.com/in/gulnara-muratova-0206/>,
QIRI`M YOUNG, Ukraine
*Submissions*
The workshop will provide Grammarly Premium to all authors. To request
Grammarly Premium, please submit the form on the website
<https://unlp.org.ua/>.
UNLP invites submissions of completed and ongoing projects. Submissions
describing resources or solutions that have been made available to the
wider public are strongly encouraged. The workshop will also accept papers
with negative results.
We invite two types of submissions: long and short papers. Long papers
should describe original, unpublished and completed work. The short papers
may describe work in progress, small focused contributions, system
demonstrations, new linguistic resources, or experiments based on existing
software and resources.
All submissions will be judged on correctness, novelty, technical strength,
clarity of presentation, usability, and significance/relevance to the
Workshop. Every submission will be reviewed by at least three members of
the Program Committee.
Paper review will be blind. The papers must not include the authors’ names
and affiliations. Self-citations and other references that reveal the
authors’ identity must be avoided.
Long papers should follow the two-column format of EACL 2023 proceedings
not exceeding eight (8) pages of content plus two (2) pages for references.
Short paper submissions should follow the same format, and should not
exceed five (5) pages for content plus two (2) pages for references.
All submissions must conform to the official style guidelines of EACL 2023
<https://unlp.org.ua/call-for-papers/#:~:text=style%20guidelines%20of%20EACL…>
contained
in the style files and must be in PDF. Camera-ready versions of accepted
papers must be provided both in LaTeX and PDF format.
*Workshop Organizers*
Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine
Oleksii Ignatenko, Ukrainian Catholic University, Ukraine
Oleksii Molchanovskii, Ukrainian Catholic University, Ukraine
Mariana Romanyshyn, Grammarly, Ukraine
Oleksii Syvokon, Microsoft, Ukraine
*Program Committee*
Andrii Babii, Kharkiv National University of Radio Electronics, Ukraine
Andrii Liubonko, Grammarly, Ukraine
Anna Rogers, University of Copenhagen, Denmark
Artem Chernodub, Grammarly, Ukraine
Bogdan Babych, Heidelberg University, Germany
Bogdana Oliynyk, National University of Kyiv-Mohyla Academy, Ukraine
Bohdan Kolchygin, Shelf, Ukraine
Dmytro Karamshuk, Meta, UK
Dmytro Sytnyk, Institute of Mathematics NAS, Ukraine
Galyna Kriukova, National University of Kyiv-Mohyla Academy, Ukraine
Igor Samokhin, Grammarly, Ukraine
Iuliia Makogon, Semantrum, Ukraine
Julia Rogushina, Institute of Software Systems NAS, Ukraine
Kostiantyn Omelianchuk, Grammarly, Ukraine
Maksym Tarnavskyi, Shelf, Poland
Mariana Romanyshyn, Grammarly, Ukraine
Natalia Grabar, CNRS, Université de Lille, France
Natalia Kocyba, Samsung Research Poland, Poland
Nataliia Cheilytko, Friedrich Schiller University Jena, Germany
Oleksandr Marchenko, Taras Shevchenko National University of Kyiv, Ukraine
Oleksandr Skurzhanskyi, Grammarly, Ukraine
Oleksii Turuta, Kharkiv National University of Radio Electronics, Ukraine
Olena Siruk, Bulgarian Academy of Sciences, Bulgaria
Olga Kanishcheva, Friedrich Schiller University Jena, Germany
Ruslan Chorney, National University of Kyiv-Mohyla Academy, Ukraine
Serhii Havrylov, University of Edinburgh, UK
Svitlana Galeshchuk, Université Paris Dauphine, BNP Paribas, France
Taras Lehinevych, Amazon, Ireland
Taras Shevchenko, Proxet (Giphy project), Ukraine
Tatjana Scheffler, Ruhr-University Bochum, Germany
Thierry Hamon, Université Paris-Saclay, CNRS, LIMSI & Université Sorbonne,
France
Veronika Solopova, FU Berlin, Germany
Volodymyr Taranukha, Taras Shevchenko National University of Kyiv, Ukraine
Vsevolod Dyomkin, Projector, Ukraine
Yevhen Kupriianov, National Technical University “Kharkiv Polytechnic
Institute”, Ukraine
*Contact*
Email: info(a)unlp.org.ua.
Website: https://unlp.org.ua/.
Twitter: https://twitter.com/UNLP_workshop.
Telegram: https://t.me/UNLP_workshop.
We invite you to participate in the 2023 edition of the CheckThat! Lab at CLEF 2023. This year, we feature five tasks ---one follow-up and four new--- that correspond to important components within and around the full fact-checking pipeline in multiple languages:
Task 1 Check-worthiness in tweets: This is the sixth round of the check-worthiness task. It allows us to reduce the workload of listening to social media for tweets and claims that would require the attention of a journalist. We offer two task modalities..
Subtask 1A: Multimodal tweets including text and picture (for the first time!). Available in Arabic and English.
Subtask 1B: Unimodal tweets and claims. Available in Arabic, English and Spanish.
Subtask 1C: US political debates, text only. Available in English
Task 2 Subjectivity in news articles: Distinguish whether a sentence from a news article expresses the subjective view of the author behind it or presents an objective view on the covered topic instead. Available in Arabic, Dutch, English, Italian, German, and Turkish.
Task 3 Political bias of news articles and news media. Detect political bias of news reporting at the article and at the media level. It includes two subtasks:
Subtask 3A: Given an article, classify its political leaning as left, center or right.
Subtask 3B: Given the URL to a news outlet (e.g., www.cnn.com), predict the overall political bias of that news outlet as left, center or right leaning.
Available in English.
Task 4 Factuality of reporting of news media. Identify the factuality of reporting at the media level. Given the URL to a news outlet the task asks to predict the factuality of reporting of that news outlet: low, mixed, and high. Available in English.
Task 5 Authority finding on twitter. Given a tweet stating a rumor, a model has to retrieve a ranked list of authority Twitter accounts that can help verify the rumor; i.e. they may tweet evidence that supports or denies the rumor. Available in Arabic.
Further information: https://checkthat.gitlab.io/
Datasets: https://gitlab.com/checkthat_lab/clef2023-checkthat-lab
Register and participate: https://clef2023-labs-registration.dei.unipd.it/registrationForm.php
Important Dates
---------------------
November 2022: Lab registration opens
December 2022: Release of the training materials
April 2023: Lab registration closes
May 2023: Beginning of the evaluation cycle
May 2023: End of the evaluation cycle (run submission)
May 2023: Deadline for the submission of working notes
June 2023: Notification of acceptance of working notes
July 2023: Deadline for submission of camera-ready working notes
July 2023: Preview of working notes
18-21 September: CLEF 2023 Conference in Thessaloniki, Greece
Best
The CLEF-2023 CheckThat! Lab Shared Task Organizers
[apologies for cross-posting]
SEPLN 2023: 39th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING
Jaén, Spain
September 27-29, 2023
http://sepln2023.sepln.org/en/home/
The Spanish Society for Natural Language Processing (SEPLN <http://www.sepln.org/>) is pleased to invite you to participate in the 39th edition of the SEPLN Conference. The SEPLN Conference will take place on 27-29 September 2022 at Jaén (Spain), at the Museo Íbero of Jaén, where the participants will discover the history of the Iberians.
The main aim of the SEPLN 2023 Conference is to provide both to the scientific community and to the industry a forum where the latest research and developments in the field of NLP can be presented and shared. The SEPLN 2023 Conference also gives the possibility to present real NLP applications and R&D projects. Finally, the conference intends to be an appropriate forum for helping new professionals to become active members in this field.
Topics of interest
Topics related to NLP, including but not limited to:
Linguistic, mathematical and psycholinguistic models of language.
Machine learning in NLP.
Computational lexicography and terminology.
Corpus linguistics.
Development of linguistic resources and tools.
Morphological and syntactic analysis.
Semantics, pragmatics and discourse.
Word sense disambiguation.
Monolingual and multilingual text generation.
Machine translation.
Knowledge and common sense.
Multimodality.
Spoken language processing.
Dialogue systems and interactive systems / Conversational assistants.
Multimedia indexing and retrieval.
Monolingual and multilingual information extraction and retrieval.
Question answering systems.
Evaluation of NLP systems.
Automatic textual content analysis.
Sentiment analysis and argument mining.
Plagiarism detection.
Negation and speculation processing.
Text mining in social media.
Text summarization.
Text simplification.
NLP in the biomedical domain.
NLP-based generation of teaching resources.
NLP for languages with limited resources.
NLP industrial applications.
Low-resource NLP tasks, data augmentation.
Ethics and NLP.
Interpretability and Analysis of Models for NLP.
Structure of the Conference
The SEPLN 2023 Conference will be a three-day event and will include sessions to present papers, ongoing research projects and prototype or product demos related to the topics of the conference. Likewise, the 26th of September will take place the Workshop Day, where the main workshop will be IberLEF 2023.
Paper types and author guidelines
The SEPLN 2023 Conference will accept three kinds of papers: (1) scientific contributions, (2) research project summaries and (3) system demonstration papers.
Scientific contributions. The accepted scientific contributions will be published in the Journal Procesamiento del Lenguaje Natural, whose aim is to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. The scientific quality of the Journal is supported by the 2021 JCR index (JCI: 0.21, Q4-Linguistics - ESCI), the SCImago Journal Ranking (SJR: 0.217, Q4-Computer Science Applications, Q2-Linguistics and Language), the Scopus Index (CiteScore: 1.5, Q4-Computer Science Applications, Q2-Linguistics and Language) among others. More information at http://www.sepln.org/en/journal/quality.
The papers can be written in Spanish or English and must be at most 10 A4-size pages of content, plus unlimited pages for references. The papers must include the following sections:
The title of the communication (in English and Spanish).
The paper must be anonymized, since the Journal follows a double-blind review process.
An abstract with a maximum of 150 words (in English and Spanish).
A list of keywords or related topics (in English and Spanish).
The documents must not include headers or footers.
The information about the format of the papers and the Latex and Microsoft Word template are at: http://www.sepln.org/en/journal/author-guidelines.
Camera ready - the final version of the paper should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper.
Preprint policy - The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper.
Research project summaries. They are summaries of ongoing research projects. This kind of papers must include the following information:
Project title.
Author name, affiliation and contact information. The review of this kind of paper is not blind review.
Funding institutions.
Research Groups participating in the project.
Language: English. We will not accept research project summaries in Spanish or other languages.
An abstract of a maximum of 150 words and a list of keywords.
Minimum length: 5 pages.
Maximum length: 6 pages (including references).
In the submission platform you have to choose “Projects and Demos” as main topic.
System demonstration papers. These papers must be related to NLP applications, and they must describe the technical details and the NLP components used or developed. The paper must be written in English, the minimum length of the paper must be 5 A4-size pages and the maximum length is 6 A4-size pages of content with the references included.
In the submission platform you have to choose “Projects and Demos” as main topic.
The research project summaries and the system demonstration papers will be published in CEUR Workshop Proceedings platform, which is widely known by the computer science research community. Accordingly, the paper format must match the CEUR template. We have adapted the CEUR Latex Template to SEPLN 2023 and you can download it here.
Submission Information. The papers must be submitted by March 19th, 2023. All submissions must be in PDF format and submitted electronically using the MyReview system available at: http://myreview.sepln.org/myreview-sepln71.
Submitted papers will be subjected to a blind review by at least three members of the SEPLN advisory council.
Important dates
Deadline for the submission of papers, projects and demos: March 19th, 2023.
Notification of acceptance: May 16th, 2023.
Camera Ready: May 31st, 2023.
Workshops: September 26th, 2023.
Conference: September 27th-29th, 2023.
Organizing Committee
L. Alfonso Ureña López (Chairman) University of Jaén (Spain).
M. Teresa Martín Valdivia (Chairwoman) University of Jaén (Spain).
Eugenio Martínez Cámara (Coordinator) University of Granada (Spain).
M. Carlos Díaz Galiano University of Jaén (Spain).
Miguel Ángel García Cumbreras University of Jaén (Spain).
Manuel García Vega University of Jaén (Spain).
Salud María Jiménez Zafra University of Jaén (Spain).
Fernando Martínez Santiago University of Jaén (Spain).
M. Dolores Molina González University of Jaén (Spain).
Arturo Montejo Ráez University of Jaén (Spain).
Flor Miriam Plaza del Arco University of Jaén (Spain).
Collaborators
Alba María Mármol Romero University of Jaén (Spain).
Estrella Vallecillo Rodríguez University of Jaén (Spain).
Mariia Chizhikova University of Jaén (Spain).
Alberto Gutierrez Mejías University of Jaén (Spain).
Jaime Collado University of Jaén (Spain).
Contact
All information related to the conference can be found at http://sepln2023.sepln.org/
For all general enquiries, please contact: sepln2023jaen(a)googlegroups.com.
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Eugenio Martínez Cámara
Profesor Ayudante Doctor | Junior Lecturer
DaSCI, Instituto Andaluz de Inteligencia Artificial | DaSCI, Andalusian Institute in Artificial Intelligence.
Dpto. Ciencias de la Computación e Inteligencia Artificial | Computer Science and Artificial Intelligence department.
Universidad de Granada