Apologies for cross posting
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Semantic Methods for Events and Stories, 2nd Edition (SEMMES 2024) – 2nd Call for Papers
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Website: https://anr-kflow.github.io/semmes/
Workshop co-located with the Extended Semantic Web Conference (ESWC) in Hersonissos, Greece
Submission deadline: March 7th, 2024
Scope
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An important part of human history and knowledge is made of events, which can be aggregated and connected to create stories, be they real or fictional. These events as well as the stories created from them can typically be inherently complex, reflect societal or political stances and be perceived differently across the world population. The Semantic Web offers technologies and methods to represent these events and stories, as well as to interpret the knowledge encoded into graphs and use it for different applications, spanning from narrative understanding and generation to fact-checking.
The aim of the 2nd edition of our workshop on Semantic Methods for Events and Stories (SEMMES) is to offer an opportunity to discuss the challenges related to dealing with events and stories, and how we can use semantic methods to tackle them. We welcome approaches which combine data, methods and technologies coming from the Semantic Web with methods from other fields, including machine learning, narratology or information extraction. This workshop wants to bring together researchers working on complementary topics, in order to foster collaboration and sharing of expertise in the context of events and stories.
Topics
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Topics of interest include, but are not limited to:
- Ontologies and data models for representing events, event relations, and narratives;
- Event extraction, co-reference and linking;
- Event Relation extraction and linking (e.g. temporal, causal, modal relationships);
- Methods combining KGs and LLMs targeting event- or narrative-related research;
- Fake events detection and event verification;
- Event-centric question answering;
- Event information visualisation;
- Event-centric knowledge graphs and vocabularies;
- Completion of event-centric knowledge graphs and reasoning;
- Event summarisation;
- Automatic narrative understanding and generation;
- Storytelling Applications/Demos.
Submission Guidelines
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We welcome the following types of contributions.
- Long papers (10-15 pages including references)
- Short papers (5-9 pages including references)
We welcome any types of research, resource and application papers, as well as (short only) demonstration submissions.
Submissions must be written in English and formatted using the template for submissions to CEUR Workshop Proceedings (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…)
All papers and abstracts have to be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=semmes2024.
Each accepted paper needs to be presented by one of the authors, who agrees to register and participate in SEMMES.
Authors may be requested to serve as reviewers for max 2 papers.
Important Dates
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- Submission deadline: March 7th, 2024
- Notifications: April 4th, 2024
- Camera-ready version: April 18th, 2024
- Workshop day: May 26th or 27th, 2024 (half-day, TBA)
All deadlines are 23:59 anywhere on earth (UTC-12).
Proceedings
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The complete set of papers will be published with the joint CEUR ESWC Workshop Proceedings (http://CEUR-WS.org), listed by the DBLP.
--
Pasquale Lisena
EURECOM, Campus SophiaTech
450 route des Chappes, 06410 Biot, France
e-mail: pasquale.lisena(a)eurecom.fr
site: http://pasqlisena.github.io/
Dear all,
the date for the sign-lang@LREC 2024 workshop has changed. It will now be on Saturday, 25 May, the day after the LREC-COLING 2024 main conference.
We are also pleased to confirm that the workshop will be a hybrid event. Similar to the 2022 workshop, participants will be given access to an online text chat before and during the event for online participants to present their work as well as for discussion of all workshop contributions. On-stage presentations will be live streamed (including International Sign/English interpretation) with opportunity for questions from online and on-site participants. The live poster sessions will be held on-site only, but posters will be made available online for discussion via text chat.
For further information, please visit the workshop website at https://www.sign-lang.uni-hamburg.de/lrec2024/
Yours,
the sign-lang@LREC 2024 workshop committee
Edge Hill Corpus Research Group
The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 29 February 2024, 2:00-3:30 pm (GMT).
Attendance is free. Registration closes on Wednesday 28 February, 11 am (GMT)
You can register here:
https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge…
Topic: Corpus Methodology
Speaker: Matteo Di Cristofaro<https://infogrep.it/site/> (University of Modena and Reggio Emilia, Italy)
Title: One dataset, many corpora: Problems of scientific validity in corpora and corpus-derived results
Abstract
Corpus linguistics has, since its inception, recognised the relevance of digital technologies as a major driving force behind corpus techniques and their (r)evolution in the study of language (cf. Tognini-Bonelli 2012). And yet, while both corpus linguistics and digital technologies have frequently benefited from each other (the case of NLP/NLU is one such macro example), their pathways have often diverged. The result is a disconnect between corpus linguistics and digital data processing whose effects directly impinge on the ability to analyse language through software tools. A disconnect becoming more and more relevant as corpus linguistics is being applied to vast amounts of data obtained from manifold sources – including a wide array of social media platforms, each one with its unique linguistic and technical peculiarities.
As the ground-truth of an ever-increasing number of language studies, corpora must be able to correctly treat and represent such peculiarities: e.g. the dialogic dimension of comments or forum posts; the presence (and potential subsequent normalisation) of spelling variations; the use of hashtags and emojis. Failing to do so, the corpus-derived results will likely present researchers with a falsified view of the language under scrutiny.
What is at stake is not the ability to “count” what is in a corpus, but rather whether what is being counted is or is not a feature present in the original data – of which the corpus should be a faithful representation.
The presentation is consequently devoted to tackling digital technicalities, i.e. “those notions and mechanisms that – while not classically associated with natural language – are i) foundational of the digital environments in which language production and exchanges occur and ii) at the core of the techniques that are used to produce, collect, and process the focus of investigation, that is, digital textual data.” (Di Cristofaro 2023:5). One such example is represented by character encodings: although at the “core” of the whole corpus linguistics enterprise (cf. McEnery and Xiao 2005; Gries 2016:39,111) – since they allow written language to be processed by a computer and understood by humans -, these are often overlooked at all stages of corpus compilation and analysis, potentially leading linguists to involuntarily tampering with the data and its linguistic contents.
Starting from practical examples, the presentation discusses the implications that digital technicalities have on corpora and their analyses – or rather, what happens when they are not properly treated – while outlining (also in the form of Python scripts and practical tools) potential new pathways that a “digital-aware” perspective of corpus linguistics can open up.
References
Di Cristofaro, Matteo. Corpus Approaches to Language in Social Media. Routledge Advances in Corpus Linguistics. New York: Routledge, 2023. https://doi.org/10.4324/9781003225218<https://doi.org/10.4324/9781003225218>.
Gries, Stefan Th. Quantitative Corpus Linguistics with R: A Practical Introduction. 2nd ed. New York: Routledge, 2016. https://doi.org/10.4324/9781315746210<https://doi.org/10.4324/9781315746210>.
McEnery, Tony, and Richard Xiao. ‘Character Encoding in Corpus Construction’. In Developing Linguistic Corpora: A Guide to Good Practice, edited by Martin Wynne, 47–58. Oxford: Oxbow Books, 2005. https://users.ox.ac.uk/~martinw/dlc/index.htm<https://users.ox.ac.uk/~martinw/dlc/index.htm>.
Tognini Bonelli, Elena. ‘Theoretical Overview of the Evolution of Corpus Linguistics’. In The Routledge Handbook of Corpus Linguistics, edited by Anne O’Keeffe and Michael McCarthy, 14–27. Routledge Handbooks in Applied Linguistics. Milton Park, Abingdon, Oxon ; New York: Routledge, 2012.
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
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This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
Dear all,
My institute is looking to recruit two assistant or associate professors in AI, which may be relevant to people on this list.
Here’s the beginning of the vacancy:
"The Faculty of Science, Leiden Institute of Advanced Computer Science (LIACS), is looking for: 2 Assistant/Associate Professors in Artificial Intelligence (0.8-1.0 FTE)
The rapid evolution and expansion of Artificial Intelligence and Computer Science and the increasing integration with other disciplines creates new challenges in developing and understanding modern computation in its foundations, applications, and societal consequences. Our institute is at the center of this transformation, and we aim to strengthen our research and education in artificial intelligence. We are looking for candidates with expertise complementary to the one that is already present at LIACS and related to generative AI, human centered AI, interactive machine learning, and computational creativity."
Here’s the full vacancy: https://www.universiteitleiden.nl/vacatures/2024/q1/14490-2-assistant_assoc…
Best,
dr. Gijs Wijnholds
Assistant Professor in Natural Language Processing
Text Mining and Retrieval Group<https://tmr.liacs.nl/>
Leiden Institute of Advanced Computer Science
https://gijswijnholds.github.io
The Seventh Workshop on e-Commerce and NLP (ECNLP 7)
Co-located with LREC-COLING 2024 in Torino, Italy – May 21, 2024
https://sites.google.com/view/ecnlp/
Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE)
ECNLP focuses on NLP for e-Commerce and online shopping applications. We welcome papers covering all aspects on online commerce and data, including search, retrieval, and customer-facing applications and tasks.
Important Dates
Submission Deadline: Friday Feb 23, 2024 - 23:59pm (AoE)
Acceptance Notification: Friday March 29, 2024
Camera-ready versions: Friday April 12, 2024
Workshop: Tuesday May 21, 2024
Instructions for Authors
Papers must be submitted in PDF format using the official LREC-COLING template. More details available on the website.
Additional Information and Contact Details
https://sites.google.com/view/ecnlp/home/
Workshop Scope
ECNLP invites quality research contributions as short or long papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop.
NLP and IR have been powering e-Commerce applications since the early days of the fields. Today, NLP and IR already play a significant role in e-commerce tasks, including product search, recommender systems, product question answering, machine translation, sentiment analysis, product description and review summarization, and customer review processing, among many other tasks. With the exploding popularity of chatbots and shopping assistants – both text- and voice-based – NLP, IR, question answering, and dialogue systems research is poised to transform e-commerce once again, but requires a forum where new and unfinished ideas could be discussed.
The ECNLP workshop will provide a venue for the dissemination of NLP and IR research results related to e-commerce and online shopping, bringing together researchers from both academia and industry. The workshop welcomes submission of late-breaking and preliminary research results, as well as opinion and position papers.
Topics of interest include but are not limited to:
- Product classification and cataloguing (including into types and hierarchies)
- NER for products, brands, attributes, and part names
- Search and product query auto-completion
- Recommender systems and product suggestions
- Machine Translation applied to e-commerce (e.g. translating product titles/reviews)
- Voice & dialogue-based e-commerce applications; ASR for e-commerce
- Advertising and ad prediction/forecasting models
- Fraud and spam detection in e-commerce (e.g. in customer reviews/comments)
- Product description and review summarization
- Product similarity and matching of seller-provided listings to catalog products
- Technical support request processing (user emails, chat agents, etc.)
- E-commerce related social media processing
- The intersection of Computer Vision and NLP (e.g. product images and text)
- Product Question Answering
- Shopping assistants, agents, and chat bots
- Sentiment analysis, opinion mining, and stance detection in user-generated content
- Relevant resources and datasets
Thank you,
The ECNLP Organizing Committee
The Discharge Me! shared task invites participants to streamline the
generation of discharge summary sections in the EHR, with the goal of
alleviating clinician burden and enhancing patient care quality. Leveraging
a dataset derived from MIMIC-IV, participants are tasked with generating
the "Brief Hospital Course" and "Discharge Instructions" sections using
over 100,000 admissions from the Emergency Department (ED). Submission
guidelines and data access agreements are detailed on the task and
competition website (https://stanford-aimi.github.io/discharge-me
<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstanford-…>),
with system submissions due by May 10th, 2024. Accepted papers will be
presented at the 23rd Workshop on Biomedical Natural Language Processing at
ACL 2024. Join us in revolutionizing clinical documentation and improving
healthcare workflows! For further details and registration, please visit
the Codabench competition page linked on the task website.
Hello All,
Special issue of the *Social Network Analysis and Mining (SNAM)* journal:
*Datasets, Language Resources and Algorithmic Approaches on Online
Wellbeing*
*and Social Order in Asian Languages*
https://link.springer.com/journal/13278/updates/26741080
*** Deadline for submission: July 2024 ***
*** Guest Editors ***
Vivek Kumar Singh, Banaras Hindu University, Varanasi, India
David Pinto, Benemerita Universidad Autonoma de Puebla, Mexico
Dr Sriparna Saha, Indian Institute of Technology, Patna, India
Dr. Vedika Gupta, OP Jindal Global University, Haryana, India.
Dr. Rajesh Sharma, University of Tartu, Estonia.
*** Context ***
The phenomenal growth of social media platforms has resulted in their
becoming ubiquitous in the sense that now almost everyone on the planet is
using or is being affected by content on social media platforms. Social
media platforms have become so influential that they are not only affecting
individual thoughts and behaviours but also guiding collective behaviours
of groups and societies. There are now innumerable instances of hate
speech, abusive content, cyberbullying, misogyny, fake news and
disinformation etc. on social media platforms. Such content can severely
impact our emotions, mental health, and well-being. The spread of hate
speech, misinformation, fundamentalist propaganda, religious hate campaigns
etc. on social media platforms can be furthermore dangerous as it could
disturb the social order and harmony. The hateful and targeted campaigns
can affect social structures and institutions, values, and norms.
Therefore, it is extremely important that such content is identified and
appropriately dealt with. However, due the huge volume and speed of
creation of such content, it can only be done by using sophisticated
computational methods that can automatically detect and identify harmful
content. Taking into account the fact that the social media is accessible
in large number of languages across the world, the task becomes more
challenging.
Availability of enough and suitable data and resources is a fundamental
requirement towards this endeavour. Asia, being the largest continent,
embraces diverse cultures, ethnicities and languages. There are around 2300
languages spoken in Asia. Though there has been substantial research on the
above mentioned aspects in the English language, research in Asian
languages is still in its infancy. The limited or availability of no
datasets and resources in these languages is a primary reason for this.
This special issue aims to bring together contributions that advance the
research in the area of computational methods for automatic detection and
identification of harmful content on the social media platforms, such as
those reporting:
· Algorithmic approaches
· Computational resources
· Datasets
· Dictionaries and Lexicons
· Software Resources
Contributions that report novel methods and techniques, datasets and
application of various state of the art methods for different tasks in the
social media text analytics, including those in low resource languages are
also welcome. Though the main focus area of the special issue is on the
analysis of the textual content, studies and resources that report
multimodal data (with text being the major part) will also be considered.
***Topics of Interest***
The special issue invites original, unpublished contributions on datasets
(elicitation, processing, annotation) and resources (corpora, lexica,
database, ontologies, computational approaches, and methodologies) on the
following non-exhaustive list of indicative topics:
· Aggression and Abusive Content detection
· Cognitive Analytics of Social Media Services
· Collective Idea Generation and Opinion Dynamics
· Depression Intensity Estimation
· Detection of Hate Speech, Profanity, Hostility, Cyberbullying
· Disinformation, Misinformation, Fake News and Rumours
· Emotion analysis, Emotional conversation generation
· Fraud detection in online social network
· Making online environments safer
· Personality trait assessment
· Polarization in online discussions
· Protecting Children from abusive content
· Racial and targeted abuse detection
· Religious abuse and bias detection
· Sentiment Analysis
· Sexism and Misogynistic attitude detection
· Social Alignment Contagion in Online Social Networks
· Social biases in online texts
· Social Perception and Social Influence in social media
· Suicide Ideation detection in the Online Environment
· Violent Incident detection
*** Important dates ***
• Submission deadline: July 2024
• Notification to the authors after the first review: December 2024
• Notification to the authors after the second review: March 2025
• Publication: December 2024
*** Submission Guidelines ***
Articles reporting original and unpublished research results pertaining to
the above topics are solicited. Submitted articles will follow an academic
review process. Manuscripts must be prepared according to the instructions
for authors available at the journal webpage and submitted through the
publisher's online submission system, available here
<https://idp-personal-authenticator.springernature.com/gateway?response_type…>
.
Kind Regards
Rajesh Sharma,
Associate Professor,
Head, Computational Social Science Lab,
Institute of Computer Science,
University of Tartu, Estonia
Group webpage: https://css.cs.ut.ee/
Personal Webpage: https://rajeshsharma.cs.ut.ee/
Summer School 2024
Digital Humanities and Digital Communication: Challenges and opportunities of interacting with and through technology
Host Institution: University of Modena and Reggio Emilia
Coordinating Institution: Department of Studies on Language and Culture
Website: https://www.summerschooldigitalhumanities.unimore.it/
Dates: 3 June 2024—7 June 2024
Location: Modena, Emilia Romagna, Italy
CALL FOR APPLICATIONS
We are happy to announce the 6th edition of our Summer School in Digital Humanities and Digital
Communication, which will be hosted by the Department of Studies on Language and Culture of
the University of Modena and Reggio Emilia, in collaboration with the Fondazione Marco Biagi.
As part of the Doctoral Programme in Human Sciences, the Summer School aims to provide PhD
students and young researchers with methodological tools for the study of digital communication
and data analysis. This year’s focus is on challenges and opportunities of interacting through
technology, with topics ranging from digital resources for research in the humanities to the use of
new information technologies for data analysis; from tools for analysing communication in new
media to ways of processing, accessing, and disseminating knowledge.
SUMMER SCHOOL THEMES
The digital world in which we live opens up numerous opportunities, but also challenges and risks.
In recent years the impact of technology has been profound and far-reaching and the speed at which
innovations have been introduced has radically changed the landscape of research and
communication. New forms of media have transformed our working and social habits and the
dynamics of interpersonal relationships. Digital technology has also facilitated the production,
storage and access to information. Research, especially in the humanities, has benefited from
increasingly complex digital archives, the flexibility and the multimodality of digital publishing,
the wealth of tools for the compilation, annotation and analysis of corpora etc. The object itself of
research has changed, often including digital data or focusing on digital communication and user-
generated content in particular. Dissemination of knowledge has expanded its potential with the
use of augmented reality and gaming. Indeed, generative AI is opening the whole field of the
humanities to new methods and new research questions.
However, these trends often pull in opposite directions, creating paradoxes and contradictions. For
example, whilst an infinite amount of information is guaranteed, the reliability, trustworthiness
and source of that information is unknown, with AI in the background and the legal issues
associated with it (data leaks, misrepresenting information, unintended uses etc.). Access to global
systems of communication bring potentially an infinite number of people into contact, but at the
same time, alone with our computers or mobile phones, we can become detached and solitary.
Contemporary forms of communication have blurred the distinction between what is real and what
is virtual. What kind of demands do the new forms of technology pose on researchers in the
humanities? What role does literacy play in fostering ethical understanding and critical thinking in
today’s technologically evolving society? Is there a risk of undermining the active role of human
agents with AI? May too much trust be placed on the machine?
The summer school will try to discuss the challenges and opportunities of interacting with and
through technology, considering new fields of study, new tools and resources, new forms of
collaboration in research, while at the same time allowing participants to explore some of the recent
advances in the field of digital humanities in hands-on workshops.
APPLICATIONS AND SUBMISSION GUIDELINES
https://www.summerschooldigitalhumanities.unimore.it/application/
IMPORTANT DATES
Deadline for applications: March 28, 2024
Notification of acceptance: April 10, 2024
Conference website: https://www.summerschooldigitalhumanities.unimore.it/
For any inquiry, please contact the organisers at: digitalhumanities(a)unimore.it
Call Deadline: 02-Mar-2024
Meeting Description:
The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes. With numerous projects all over the world interested in aspects of digital democracy, inclusivity and representation in the decision-making process and improving deliberative democracy, DELITE2024 is right at the center of a new interdisciplinary research community, with the language-driven angle representing a fundamental and distinctive contribution.
2nd Call for Papers:
Deliberation is ubiquitous: from navigating divergent interests in everyday personal life to reaching consensus in the political decision making process, deliberation describes the communicative process by which a group of people exchange ideas, weigh different arguments, and ultimately reach mutual understanding. In recent years, deliberative processes have gained momentum and shown to improve everyday and political decision-making. For the first time, technological solutions are maturing to the point that they can be deployed to support deliberation. In this context, we want to establish the foundations for collecting and curating data for deliberation domains and for evaluating technology in deliberative settings.
The DELITE workshop provides a forum for presenting new advances in technology around deliberation by addressing researchers in Natural Language Processing, human-computer interaction, corpus linguistics, political science and philosophy, as well as stakeholders and domain experts involved in integrating such technology into decision-making processes.
Topics for DELITE2024 include, but are not limited to:
- Technological advances for public decision making
- Deliberation theory in NLP models
- In-domain versus across domain resources and corpora
- Data-driven theory development
- Integration of language systems into deliberation processes and interfaces
- Technological solutions for online deliberation at scale
- Argument mining for deliberation scenarios
- Visual Analytics for human sensemaking
- Empirical foundations for evaluation
- Integration and reflection on recent advances in LLMs for deliberation scenarios
- Explainability
- Ethical questions
- Addressing bias
Application areas include, but are not limited to:
- Public policy making
- Democratic innovations
- Deliberative democracy
- Political decision making
- Participatory urban planning
- Citizen engagement and co-creation
- Intelligence services and military
- Conflict resolution/mitigation
- Case analysis in healthcare
- Legal decision making
- Scholarly discourse (written and spoken)
Submissions
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Papers must describe original (completed or in progress) and unpublished work. We invite long (8 pages, excluding references) and short papers (4 pages, excluding references). Papers must be anonymized to support double-blind reviewing, i.e., they must not include authors’ names and affiliations and should avoid links to non-anonymized repositories. Papers that do not conform to these requirements will be rejected without review. Upon acceptance, the papers will be given one additional page – for long papers, up to nine (9) pages of content plus unlimited pages for acknowledgments and references and five (5) pages for short papers.
We also invite non-archival, non-anonymous papers (2-4 pages, including references) to describe ongoing work, introduce research projects, or summarize already published work. These will be presented in a poster session where ongoing projects are presented in order to serve community building.
Submission of all papers is electronic, using the Softconf START conference management system (https://softconf.com/lrec-coling2024/delite2024/). Papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
Important Dates
******************
Paper submission deadline: 2 March 2024 (extended)
Notification of acceptance: 13 March 2024
Camera-ready versions due: 20 March 2024
Workshop date: 20 May 2024 (half-day)
LPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP
Collocated with LREC-COLING in Turin, Italy
FINAL CALL FOR PAPERS (DEADLINE EXTENSION)
https://nlperspectives.di.unito.it/w/3rd-workshop-on-perspectivist-approach…
Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices.
Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation.
In line with the first <https://nlperspectives.di.unito.it/w/w2022/> and second <https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach…> editions, the third NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives in NLP pipelines, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., fairness and inclusion in a perspectivist framework.
Following our previous workshops, a key outcome of the third edition will be to continue the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling.
Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers.
The NLPerspectives workshop will be co-located with the 14th edition of LREC-COLING 2024 <https://lrec-coling-2024.org/> in Torino, Italy, in May 20-25, 2024 and online.
Submissions
The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of LREC-COLING conference: authors-kit <https://lrec-coling-2024.org/authors-kit/>
We accept three types of submissions:
Regular research papers;
Non-archival submissions: like research papers, but will not be included in the proceedings;
Research communications: 4-page abstracts summarising relevant research published elsewhere.
NLPerspectives will also accept submissions that have been rejected from the main LREC-COLING conference or ACL rolling review, provided they are accompanied with their reviews and they fit the topic of the workshop.
Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 4 pages of content. More details will be up soon.
Please make submissions at https://softconf.com/lrec-coling2024/nlperspectives2024/
Topics
We invite original research papers from a wide range of topics, including but not limited to:
Non-aggregated data collection and annotation frameworks
Descriptions of corpora collected under the perspectivist paradigm
Multi-perspective Modelling and Machine Learning
Evaluation of multi-perspective models/ models of disagreement
Multi-perspective disagreement as applied to NLP evaluation
Fairness and inclusive modelling
Perspectivist approaches for social good
Applications of multi-perspective modelling
Computing with (dis)agreement
Perspectivist Natural Language Generation
Foundational aspects of perspectivism
Opinion pieces and reviews on perspectivist approaches to NLP
Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation.
Attendance
At least one author of each accepted paper is required to participate in the conference and present the work, in-person or online.
Important Dates
* (EXTENDED) Friday March 1, 2024: Paper submission
* Friday March 29, 2024: Notification of acceptance
* Friday April 12, 2024: Camera-ready papers due
* Tuesday May 21, 2024: Workshop
Workshop organisers:
Gavin Abercrombie, Heriot-Watt University
Valerio Basile, University of Turin
Davide Bernardi, Amazon Alexa
Shiran Dudy, Northeastern University
Simona Frenda, University of Turin
Lucy Havens, University of Edinburgh
Sara Tonelli, Fondazione Bruno Kessler
Contact us at g.abercrombie(a)hw.ac.uk <mailto:g.abercrombie@hw.ac.uk> if you have any questions.
Website: https://nlperspectives.di.unito.it/
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Le informazioni contenute nella presente comunicazione sono di natura
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