CfP: Diversity and Change in Easy German (Workshop at DGfS 2025)
Date: March 5-7, 2025
Location: University of Mainz, Germany
Meeting Email: workshop-easy-german-dgfs2025(a)uni-saarland.de<mailto:workshop-easy-german-dgfs2025@uni-saarland.de>
Website: https://sfb1102.uni-saarland.de/vielfalt-und-wandel-in-leichter-sprache/
Linguistic Field(s): Applied Linguistics, Computational Linguistics, Psycholinguistics
Language Family: Germanic
Call Deadline: August 18, 2024
Shortened Workshop …
[View More]Description:
Easy German, which has been systematically developed since the 2000s to aid individuals with learning difficulties among others, focuses on enhancing text comprehensibility by avoiding linguistic complexity. Despite its intended uniformity, there is a lack of consensus on its precise conceptualization, with various frameworks and guidelines proposing different approaches.
This workshop aims to:
1. Provide a platform for researchers to discuss the production and evolution of Easy German texts.
2. Highlight dynamic changes and variability in Easy German texts compared to Standard German.
3. Examine the cognitive processing of Easy German through psycholinguistic studies involving the target demographic.
4. Critically assess AI-driven systems for Easy German text production, exploring their implications, opportunities, and challenges.
For further information, please visit the workshop website: https://sfb1102.uni-saarland.de/vielfalt-und-wandel-in-leichter-sprache/
Organizers:
Ingo Reich (Saarland University, Germany)
Heike Zinsmeister (University of Hamburg, Germany)
Sarah Jablotschkin (University of Hamburg, Germany)
Lena Wieland (Saarland University, Germany)
Invited Speakers:
Bettina Bock (University of Cologne)
Ted Sanders (Utrecht University)
Call for Papers:
We invite contributions on all aspects of Easy German and easy-to-read variants in other Germanic languages. The workshop will include a small poster session, and submissions for both talks and posters are welcome. Contributions in English are preferred, but submissions in German are also accepted.
* Submission Details:
* Abstract submission deadline: August 18, 2024
* Abstracts should be submitted to workshop-easy-german-dgfs2025(a)uni-saarland.de<mailto:workshop-easy-german-dgfs2025@uni-saarland.de>
* Abstracts should not exceed one page (DIN A4, 2.5 cm margins, 12pt font)
* Examples, graphics, or references may be included on a second page
Important Workshop Information: The workshop is part of the 47th annual meeting of the German Linguistic Society (DGfS 2025) at Johannes Gutenberg University Mainz. Participants must register for the DGfS conference and pay the conference fee. For more information, visit http://dgfs.uni-mainz.de<http://dgfs.uni-mainz.de/>.
Important Dates:
Deadline for abstract submission: August 18, 2024
Notification of acceptance: September 2, 2024
Workshop dates: March 5-7, 2025
--
Lena Wieland
SFB 1102, Project T1 – Information Density and Linguistic Encoding in “Leichte Sprache”
Universität des Saarlandes
Campus A2.2 Raum 3.12
D-66123 Saarbrücken
T: +49 681 302 57543
www.uni-saarland.de/fakultaet-p/nds/team/wieland<https://www.uni-saarland.de/fakultaet-p/nds/team/wieland.html>
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Workshop on Multimodal Search and Recommendations (CIKM MMSR ‘24)
Date: October 25, 2024 (Full day workshop)
Venue: ACM CIKM 2024 <https://cikm2024.org/> (Boise, Idaho, United States)
Website: https://cikm-mmsr.github.io/
Organizers: Aditya Chichani, Surya Kallumadi, Tracy Holloway King, Andrei
Lopatenko
Paper submission deadline: August 10, 2024 (23:59 P.M. GMT)
Overview:
The advent of multimodal LLMs like GPT-4o and Gemini has significantly
boosted the potential for multimodal search …
[View More]and recommendations.
Traditional search engines rely mainly on textual queries, supplemented by
session and geographical data. In contrast, multimodal systems create a
shared embedding space for text, images, audio, and more, enabling next-gen
customer experiences. These advancements lead to more accurate and
personalized recommendations, enhancing user satisfaction and engagement.
Topics of interest include, but are not limited to:
Cross-modal retrieval techniques
Strategies for efficiently indexing and retrieving multimodal data.
Approaches to ensure cross-modal retrieval systems can handle
large-scale data.
Development of metrics to measure similarity across different data
modalities.
Applications of Multimodal Search and Recommendations to Verticals (e.g.
E-commerce, real estate)
Implementing and optimizing image-based product searches.
Creating multimodal conversational systems to enhance user experience
and make search more accessible.
Utilizing AR to enhance product discovery and user interaction.
Leveraging multimodal search for efficient customer service and
support.
User-centric design principles for multimodal search interfaces
Best practices for designing user-friendly interfaces that support
multimodal search.
Methods for evaluating the usability of multimodal search interfaces.
Personalizing multimodal search interfaces to individual user
preferences.
Ensuring multimodal search interfaces are accessible to users with
disabilities.
Ethical Considerations and Privacy Implications of Multimodal Search and
Recommendations
Strategies for ensuring user data privacy in multimodal applications.
Identifying and mitigating biases in multimodal algorithms.
Ensuring transparency in how multimodal results are generated and
presented.
Approaches for obtaining and managing user consent for using their
data.
Modeling for Multimodal Search and Discovery
Multi-modal representation learning
Utilizing GPT-4o, Gemini, and other advanced pre-trained multimodal
LLMs
Dimensionality reduction techniques to reduce complexity of
multimodal data.
Techniques for fine-tuning pre-trained vision-language models.
Developing and standardizing metrics to evaluate the performance of
vision-language models in multimodal search.
Submission Instructions:
All papers will be peer-reviewed by the program committee and judged based
on their relevance to the workshop and their potential to generate
discussion. Submissions must be in PDF format, following the latest CEUR
single column format. For instructions and LaTeX/Overleaf/docx templates,
refer to CEUR’s submission guidelines (
https://ceur-ws.org/HOWTOSUBMIT.html#CEURART), reading up to and including
the “License footnote in paper PDFs” section. Use Emphasizing Capitalized
Style for Paper Titles.
Submissions must describe original work not previously published, not
accepted for publication, and not under review elsewhere. All submissions
must be in English. The workshop follows a single-blind review process and
does not accept anonymous submissions. At least one author of each accepted
paper must register for the workshop and present the paper.
Long paper limit: 15 pages.
Short paper limit: 8 pages.
References are not counted in the page limit.
Submit to CIKM MMSR’24:
https://openreview.net/group?id=ACM.org/CIKM/2024/Workshop/MMSR
Contact: Aditya Chichani
E-mail: aditya_chichani(a)berkeley.edu
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CALL FOR PAPERS
Elsevier Online Social Networks and Media Journal (OSNEM)
Special issue on
AI in Online Social Networks: opportunities and challenges
****** EXTENDED SUBMISSION DEADLINE ********
Submission Deadline: Continuous submissions September 30st, 2024
********************************************
https://www.sciencedirect.com/journal/online-social-networks-and-media
----------------------------------------…
[View More]--------------------------------------
Online Social Networks and Media are a fundamental component of everyday life and the use of AI technologies in OSNEM can further boost their role. The use of AI in online social networks offers great opportunities and, at the same time, raises several challenges. AI's ability to analyze vast amounts of data in real-time allows social media platforms to offer highly personalized experiences to users. The use of AI may raise concerns about ethical issues such as privacy, algorithmic bias, misinformation, etc., but AI can also be used for content moderation on social media to detect and remove harmful or inappropriate content, identifying and mitigating the spread of fake news. etc. The use of AI on OSNEM can promote the democratic processes by facilitating the dissemination of information and encourage political engagement. On the other hand, AI algorithms can create echo chambers, influence voting behavior and generate significant risks for democracy. AI-driven security measures can help to protect OSNEM users from fraud and privacy breaches but, malicious actors can also use AI to support their attacks. The exponential diffusion of generative AI adds novel dimensions to this landscape, on the one hand supporting novel forms of interactions spanning into the Metaverse, but on the other hand exposing vulnerable users to dramatic threats.
The aim of this special issue is to push the state of the art in using AI in OSNEM, by presenting quantitative contributions that investigate the opportunities and challenges of using AI in Online Social Networks. Within this framework, topics include, but are not limited to:
- Using AI in OSNEM for personalization, efficiency, and recommendations;
- AI-based studies for analysis and modelling of information and opinion dynamics in OSNEM;
- AI-based predictions based on OSNEM data analysis;
- AI impact on OSNEM security, trustworthiness and privacy;
- Generative AI in OSNEM;
- AI and social networking in the Metaverse;
- AI methodologies for large-scale OSNEM data collection and analysis
- AI methods to safeguard OSNEM users (e.g., bot detection, toxic content identification,
content moderation, echo chamber avoidance)
- Case studies of AI application in OSNEM
Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media.
-----------------------------------------------------------------------------
Schedule
Manuscript submission deadline: continuous submission until September 30th, 2024 (*)
First notification: two months after the submission
Expected publication: papers are published a few weeks after acceptance.
Guest Editors
Marco Conti, IIT-CNR, Italy
Andrea Passarella, IIT-CNR, Italy
------------------------------------------------------------------------------
Instructions for submission
Manuscripts must not have been previously published nor currently under review by other journals or conferences. If prior work was published in a conference, the submitted manuscript should include a substantial extension of at least 35% novel contributions. In this case, authors are also required to submit their published conference articles and a summary document explaining the enhancements made in the journal version.
The submission website for this journal is located at https://www2.cloud.editorialmanager.com/osnem/default2.aspx. Please select ''VSI:AI&OSNEM'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on “AI&OSNEM”.
(*) Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website.
For further information, please contact the guest editors at {m.conti,a.passarella} at iit.cnr.it
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Ulysses Tesemõ, a large corpus specifically built for the Brazilian legal
domain.
The corpus consists of over 3.5 million files, totaling 30.7 GiB of raw
text, collected from 159 sources encompassing judicial, legislative,
academic, news, and other related data.
https://doi.org/10.1007/s10579-024-09762-8
Best Regards,
Ellen Souza
> [Apologies for cross-posting]
> ==========================================================================
> SECOND CALL FOR PAPERS - SIMBig 2024
> ==========================================================================
>
> 11th International Conference on Information Management and Big Data - SIMBig 2024
> Where: Universidad Nacional de Moquegua, Ilo, PERU
> When: November 20 - 22, 2024
> Website: https://simbig.org/SIMBig2024/
> Free of Cost: no fees …
[View More]associated with Publication
> ==========================================================================
>
> OVERVIEW
> ----------------------------------
>
> SIMBig 2024 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data.
>
>
> KEYNOTE SPEAKERS
> ----------------------------------
>
 Aaron Courville, Université de Montréal, Canada
 Mona Diab, Carnegie Mellon University, USA
 Anna Korhonen, University of Cambridge, UK
 Huan Liu, Arizona State University, USA
>
> IMPORTANT DATES
> ----------------------------------
>
> August 10, 2024 --> Full papers and short papers due
> September 30, 2024 --> Notification of acceptance
> October 28, 2024 --> Camera-ready versions
> November 20-22, 2024 --> Conference held in Moquegua, Peru
>
> PUBLICATION
> ----------------------------------
>
> All accepted papers of SIMBig 2024 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899>.
>
>

> TOPICS OF INTEREST
> ----------------------------------
>
> SIMBig 2024 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas:
>
> Artificial Intelligence
> Big/Masive Data
> Data Science
> Machine Learning
> Deep Learning
> Natural Language Processing
> Semantic Web
> Data-driven Software Engineering
> Healthcare Informatics
> Biomedical Informatics
> Data Privacy and Security
> Information Retrieval
> Ontologies and Knowledge Representation
> Social Networks and Social Web
> Information Visualization
>
> SPECIAL TRACKS
> ----------------------------------
>
> SIMBig 2024 proposes a special track in addition to the main conference:
>
> DISE <https://simbig.org/SIMBig2024/call-for-paper/track-on-data-driven-software-…> - Data-Driven Software Engineering
>
> CONTACT
> ----------------------------------
>
> SIMBig 2024 General Chairs
>
> Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>)
> Hugo Alatrista-Salas, Léonard de Vinci Pôle Universitaire Research Center, Paris, France (hugo.alatrista_salas(a)devinci.fr <mailto:halatrista@pucp.pe>)
[View Less]
PhD position: Language Modeling
=====================
(Computer Science, Computational Linguistics, Physics, Mathematics or
similar)
The research group is focusing on getting a deeper understanding of how
language models work and how they can be applied. Our recent
achievements include a best paper award at COLING 2022 and a best theme
paper award at ACL 2023.
Possible more specific topics could be:
* Language modeling for Speech Recognition
* …
[View More]Language models for Chemicals and Proteins
* Deep learning for highly non-linear Dynamical Systems
We expect the successful candidate to make herself/himself familiar with
the group for about half a year before a final decision will be made
which specific topic to pursue.
The ideal candidate for the position would have:
1. Excellent knowledge of LLMs, machine learning and deep learning
2. Excellent programming skills
3. Masters degree in Computer Science, Computational Linguistics,
Physics, Mathematics or similar
4. Successful experiences working both independently and as part of a
small team
Salary: The PhD position will be 75% of full time on the German E13
scale (TV-L) which is about 3144€ per month before tax and social
security contributions. The appointments will be for three years with a
possible extension at 50% for a fourth year.
About the department: The department of Language Science and Technology
is one of the leading departments in the speech and language area in
Europe. The flagship project at the moment is the CRC on Information
Density and Linguistic Encoding. It also runs a significant number of
European and nationally funded projects. In total, it has seven faculty
and around 50 postdoctoral researchers and PhD students. The department
is part of the Saarland Informatics Campus. With 900 researchers, two
Max Planck institutes and the German Research Center for Artificial
Intelligence, it is one of the leading locations for Informatics in
Germany and Europe.
How to apply: Please send us a letter of motivation, your CV, your
transcripts, if available a list of publications, and the names and
contact information of at least two references, as a single PDF or a
link to a PDF if the file size is more than 5 MB.
Please apply latest by August 18th, 2024.
Contact: Applications and any further inquiries regarding our research
should be directed to phd_position_fall_2024(a)lsv.uni-saarland.de
[View Less]
Inalco, (l’Institut national des langues et civilisations orientales, the
National Institute of Oriental Languages and Civilizations) invites
applications for a Junior Professorship in "Artificial Intelligence for
Rare or Under-Resourced Languages." This is a fixed-term contract (5 years)
with a reduced teaching load, after evaluation leading ultimately to tenure
as a full professor. Applications must be submitted no later than September
2, 2024, 4 p.m. (Paris time, UTC+02:00) with the …
[View More]appointment to begin no
later than December 31, 2024.
Online link:
https://www.inalco.fr/institut/concours-recrutement/chaire-de-professeur-ju…
RESEARCH
Inalco is a specialized top-level public institution of higher education
and research, recognized for its contribution to the study of the world's
languages, cultures and societies across a range of humanities and social
sciences disciplines such as linguistics, sociology, economics, geography,
history, international relations, political science, as well as literary
and artistic studies. The Institute’s research and teaching activities
cover a vast range of languages (over 100) and cultural areas, giving it a
singular and internationally recognized academic reputation.
The digitization of resources (languages, texts, documentation, cultural
objects) and their analysis represent a major challenge for Inalco, both in
terms of research implementation (digital humanities, access to primary
data, open-source intelligence, digital fieldwork) and the promotion of
languages and cultures (access to the information society for speakers of
rare and under-resourced languages).
Based within Inalco itself, ERTIM (Texts, Computer Science, Multilingualism
Research Team, https://ertim.inalco.fr) is a research team specializing in
Natural Language Processing (NLP), with a focus on multilingual data
processing, multilingual NLP methodologies and language technology
applications. The team uses and creates methods and tools for the analysis
and processing of languages in both written and spoken datasets. Its
collaborative activities focus on Digital Humanities and the description of
specific languages (such as Chinese, Arabic, Vietnamese, Bambara, Burmese,
Quechua and Hindi), as well as IT applications (text mining, text
classification, text annotation, information extraction, etc.).
ERTIM is looking for a highly experienced candidate, specialized in current
NLP methods (Deep Learning, Large Language Models, Speech Processing),
capable of designing and developing research for the analysis and
processing of under-resourced languages. The successful candidate will be
able to demonstrate how their theoretical and applied research experience
will enable them to address complex issues in innovative ways, both in
terms of linguistic modeling (models of under-resourced or insufficiently
resourced languages) and discursive modeling (processing code-switching,
creolization, language variation, language contact, etc.). The Junior Chair
professorship has a prospect of tenure. In this role, the candidate must be
able to conceptualize and supervise the necessary pre- and post-language
modeling tasks (eg. speech processing and recognition, OCR, automatic
translation.
Through their expertise and associated research projects, the person
recruited will also participate in discussions within the institute on the
use of Artificial Intelligence in teaching and research for languages and
for areal studies based on oriental language sources. More specifically,
they will be involved in the development of a range of teaching tools for
language teachers wishing to integrate the use of AI, and methodological
tools for students and researchers unable to undertake fieldwork in person
due to physical restrictions.
Affiliated Research Team: ERTIM
Location: Maison de la recherche de l’Inalco, 2 rue de Lille, 75007, Paris,
France
Research Unit Director: Damien Nouvel
Telephone: +33 1 81 70 10 37
E-mail: damien.nouvel(a)inalco.fr
Website: https://ertim.inalco.fr
TEACHING
The person recruited will teach undergraduate and postgraduate (1st and 2nd
cycle) courses in Inalco's NLP training program and, more widely, as part
of general training in Digital Humanities and language data processing
methodology, at Master's and Doctoral levels. Students of these courses are
distinctive, in that they often come from humanities and social science
backgrounds, and are speakers (or learners) of languages from the Inalco
sphere of reference (Asia, Africa, the Americas, Oceania, Eastern Europe).
Courses will be chosen in consultation with the teaching team and according
to the skills of the person recruited. They may be generic (algorithms,
programming, etc.), methodological (processing and contextualization of
data from digital fieldwork) or specific to the candidate's areas of
expertise. The creation of new courses may also be envisaged, in line with
the teaching and learning objectives of existing programs.
The Inalco NLP Master’s is co-accredited with Sorbonne Nouvelle University
and Paris Nanterre University. The degree comprises separate research and
professional streams, leading to careers in data science, NLP development,
computational linguistics, etc.
The teaching load will be 64 hours in the first year, 96 hours in the
second and third years, and 128 hours in the fourth and fifth years
(considered “equivalent TD”, French academic standard tutorials/seminars).
At the end of the contractual period, if hired as a full professor, the
statutory teaching load will be 192 hours.
Teaching Department: TIM
Location: 2 rue de Lille (Paris) and 65 rue des Grands Moulins (Paris)
Department director: Mathieu Valette
E-mail: mvalette(a)inalco.fr
Website: https://www.inalco.fr/textes-informatique-multilinguisme
JUNIOR PROFESSORSHIP DESCRIPTION
Contract for Junior Professorship: five-year fixed-term contract under
public law
CNU Section (if applicable) : 27, 07
Salary: French civil service index 735 (approx. 3,680€ gross per month)
Keywords: Artificial Intelligence; Natural Language Processing;
Under-resourced Languages; Digitization; Speech Recognition
APPLICATION
Applications accepted no later than September 2, 2024, 4 p.m. (Paris time,
UTC+02:00)
Application procedure: Registration and submission of the application
dossier in PDF format via the dedicated ministerial application platform:
https://galaxie.enseignementsup-recherche.gouv.fr/antares/can/index.jsp
Applications must include:
- Application form to be uploaded to the candidate’s profile on the Galaxie
application platform (see online link)
- Photo ID
- Copy of PhD degree or equivalent diploma
- Academic CV with full list of publications
- Three outstanding publications
- Presentation of research, teaching and integration proposals within the
institute and the context of the Junior Chair Professorship (10 pages
maximum)
- Doctoral dissertation (including doctoral defense report if applicable)
and summary of dissertation in English
- Dissertation (“Habilitation à Diriger des Recherches”), or any other
document demonstrating aptitude for doctoral supervision
SELECTION CRITERIA AND INTERVIEW PROCEDURE
Candidates should hold a PhD and have a well-established research record
showing research activity in areas relevant to the job description (see
below), such as publications in leading international journals, academic
involvement in research projects, etc.
The successful candidate will be able to demonstrate proficiency in one of
the languages of their area of specialization, as well as the ability to
teach in English.
Fluency in French is not required at the time of recruitment, but the
candidate is expected to have acquired a sufficient level of competence by
the end of the contract, i.e. at the time of tenure.
Candidates will be evaluated by a recruitment committee comprising internal
and external experts. Only those candidates shortlisted by the committee
will be invited to an interview based on a review of their applications.
Evaluation criteria will focus on the candidate's excellence, motivation
and supervisory skills; the quality and originality of their proposed
research and teaching activities; their capacity to integrate their
proposals within the research team and to coordinate the Chair's program
activities, as well as their ability to establish collaborative networks on
an international scale.
Interviews may be conducted in French or English.
JUNIOR PROFESSORSHIP CHAIR PROGRAM CONDITIONS
Amount of associated funding: The Junior Professorship will receive a
200,000€ research grant from the French National Research Agency (ANR) for
the five-year period. The Chair program may also be eligible for additional
funding from other national and international partners. This may include
funding for project managers, PhD students under contract, postdocs,
conference participation, access to databases, equipment, subscriptions to
services (algorithms or data), etc.
At the end of the five-year pre-tenure period, the person recruited must
have demonstrated that they qualify for the title of University Professor:
have taken on collective responsibilities, supervised students and interns,
supervised or co-supervised doctoral students and, lastly, participated in
the academic life of the research team and the institute.
A tenure commission will meet to assess the candidate's academic merit and
professional aptitude, enabling them to be granted tenure in the corps of
university professors. At the time of tenure, an HDR (“Habilitation à
Diriger des Recherches”) will be required. Publication of at least six
articles in peer-reviewed journals is expected at the end of the five-year
pre-tenure period. During the pre-tenure period, collaboration is also
expected on projects initiated from within Inalco, as are significant
contributions in promoting the Junior Professorship Chair program
(conferences, seminars, dissemination, etc.).
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The Diversity & Inclusion (D&I) chairs are welcoming applications for Birds
of a Feather (BoF) sessions at ECAI- 2024. Are you interested in having a
focused discussion on a particular theme within AI or more specific
research domains related to ECAI? We invite you to submit your proposals
for BoF sessions where you can engage with fellow researchers, share
insights, and explore collaborative opportunities.
These sessions aim to create a space for networking, idea exchange, and
…
[View More]building new collaborations. Whether you are an early-career researcher or
an expert, these gatherings provide a platform to connect. We encourage
collaborative thinking, and encourage you to identify during these sessions
potential research partners, discuss ongoing projects, and ignite new
collaborations.
We expect each session to be led by one or two experienced researchers who
will guide the conversation. Each session can be conducted during the
pre-conference programme or at the end of the days of the main conference.
Each session should take at least 2 hours. The available time slots are
from 19th until the 23th (from 14h till 19h).
Don’t miss out on this opportunity to connect, learn, and collaborate. Your
next collaborator might be sitting right across from you!
*Deadline:*
-
Submission form opening: Thursday, 27 June 2024
-
Submission form closing: *Friday, 26 July 2024*
-
Notification of selection: Monday, 9 September 2024
-
Deadline with the details of the session: Monday, 23 September 2024
All deadlines are at the end of the day specified, anywhere on Earth
(UTC-12).
If you are interested in hosting such sessions, please fill out the
proposal form that you can find in our website:
https://www.ecai2024.eu/calls/birds-of-a-feathers-sessions
Each bird of Birds-of-a-Feather (BoF) Sessions submission should consist of
a description in PDF format, with the following sections: title, abstract,
keywords about the session, target audience, and agenda (with the duration)
for the session. The document must be written in English, and uploaded in
the chairing tool <https://chairingtool.com/conferences/BOAF24/MainTrack>.
If you have any questions, please contact the diversity and inclusion
chairs, Samia Touileb and Isabel Neto, at
diversityinclusion-chairs(a)ecai2024.eu
See you at the BoF sessions!
Isabel Neto and Samia Touileb,
The diversity and inclusion chairs @ECAI2024.
[View Less]
<https://sites.google.com/view/crac2024/> CRAC 2024, the Seventh Workshop
on Computational Models of Reference, Anaphora and Coreference, will be held
at EMNLP 2024 <https://2024.emnlp.org/> in Miami on November 15, 2024.
About the workshop
The CRAC workshop is a forum for presenting work on all aspects of
computational work on anaphora resolution and annotation, including both
coreference and types of anaphora such as bridging reference resolution and
discourse deixis.
Since …
[View More]2016, the annual CRAC <https://aclanthology.org/venues/crac/> (and
its predecessor, CORBON <https://aclanthology.org/venues/corbon/> ) workshop
has become the main forum for researchers interested in computational
modelling of reference, anaphora and coreference to discuss and publish
their results. Over the years, this workshop series has been held at major
NLP conferences and has successfully organised 7 shared tasks, which
stimulating interest in new problems in this research area, facilitating
discussion and dissemination of results on new problems/directions (e.g.
multimodal reference resolution).
Topics of interest
We are interested in your work on any aspect of theoretical or applied
computational work on anaphora/coreference resolution. Some suggested topics
include:
- Coreference resolution for less-researched languages
- Annotation and interpretation of anaphoric relations, including relations
other than identity coreference (e.g., bridging references)
- Investigation of difficult cases of anaphora and their resolution
- Coreference resolution in noisy data (e.g. in social media)
- New applications of coreference resolution
- <https://universalanaphora.github.io/UniversalAnaphora/> Universal
Anaphora
- CorefUD <https://ufal.mff.cuni.cz/corefud>
CRAC 2024 Shared Task on Multilingual Coreference Resolution
The workshop will also present the results of our Shared Task on
Multilingual Coreference Resolution
<https://ufal.mff.cuni.cz/corefud/crac24> , based on 17 coreference datasets
for 12 languages harmonized under a common CoNLL-U scheme.
Important dates
- Workshop papers due: August 22, 2024
- ARR commitment date: September 16, 2024
- Notification of acceptance: September 22, 2024
- Camera-ready papers due: October 4, 2024
- Workshop date: November 15, 2024
Paper categories
- Research papers (theoretical computational linguistics,
empirical/data-driven approaches, paradigms/techniques/strategies, analysis
papers, resources and evaluation, negative result)
- Survey papers (surveys a popular or emerging area of anaphora/coreference
resolution)
- Position papers (presents one side of an arguable opinion about an issue)
- Challenge papers (a challenge to the field in terms of setting out a goal
for the next 5/10/20 years)
- Demo papers (systems, tools, visualizations)
- Extended abstracts (describe work in progress)
Double submission
We allow for double submissions. Please indicate at the time of submission
which other conference or workshop your work has been submitted to.
We also invite authors of papers accepted for the Findings of major
conferences (e.g. ACL, NAACL, EMNLP) to present their work at the workshop.
If these papers have been removed from the Findings, they may be included in
the workshop proceedings without further review.
Submission link
You can either submit your paper to SoftConf
<https://softconf.com/emnlp2024/CRAC2024/> (by the August 22 submission
deadline) or commit your ARR-reviewed paper to CRAC 2024 (by the September
16 commitment deadline). If you choose to commit your ARR-reviewed paper to
CRAC, the latest ARR cycle to which you need to submit your paper for review
is the June 2024 cycle.
All submissions must follow the *ACL formatting instructions
<https://acl-org.github.io/ACLPUB/formatting.html> . An Overleaf template
<https://www.overleaf.com/latex/templates/association-for-computational-ling
uistics-acl-conference/jvxskxpnznfj> is also available.
All other information
All other information can be found on the CRAC 2024 website
<https://sites.google.com/view/crac2024/> or by e-mailing the organizers
<mailto:maciej.ogrodniczuk@gmail.com> .
See you at CRAC 2024!
Maciej Ogrodniczuk
(on behalf of all the organizers: Vincent Ng, Sameer Pradhan, Anna
Nedoluzhko and Massimo Poesio)
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*ANNOTATOR / KNOWLEDGE ENGINEER (STUDENT/FREELANCER)*
Berlin · Remote · Part-Time · Immediately
YUKKA Lab AG is looking for a German annotator/knowledge engineer to join
our Data & Resources Team.
*Requirements*
- Student in linguistics, philology, or translation
- Good understanding of language analysis, e.g. part-of-speech,
morphology, syntax, semantics
- Native (for native-like) fluency in German
- Excellent English skills
- Creativity and motivation to push product …
[View More]development
- Technically-minded
- Ability to research and collect information from a wide variety of
resources
- Interest in information extraction
*Nice to have*
- Experience with creating ontologies, knowledge bases
- Knowledge of additional languages
*Responsibilities*
- Annotation of data with linguistic information
- Development of language resources, such as lexica, gazetteers
- Development of knowledge bases/ontologies
*More About Us*
We are a fast-growing FinTech and hiring talented engineers with a broad
understanding of technology, and visionary and creative thinking for
thrilling development tasks. We are unique in sentiment analysis by
screening professional print and media content. Our focus is the financial
market but we are enlarging our products for overall market sentiment
detection.
We understand the value of data. Our software analyses online and print
news and derives market sentiments. We analyze sectors, indexes, and
securities all over the financial markets.
*Contact*
Do you believe that you would be a good fit for YUKKA Lab? Great! Please
send your application with a possible start date to Katarzyna
Marszalek-Kowalewska (kmk(a)yukkalab.com). No recruiters, please.
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