*SEM brings together researchers interested in the semantics of (many and diverse!) natural languages and its computational modeling. The conference embraces data-driven, neural, and probabilistic approaches, as well as symbolic approaches and everything in between; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a stable forum for the growing number of NLP researchers working on all aspects of semantics of (many and diverse!) natural languages.
Topics of interest:
Lexical semantics and word representations
Compositional semantics and sentence representations
Statistical, machine learning, and deep learning methods in semantic tasks
Multilingual and cross-lingual semantics
Word sense disambiguation and induction
Semantic parsing, and syntax-semantics interface
Frame semantics and semantic role labeling
Textual inference, textual entailment, and question answering
Formal approaches to semantics
Extraction of events and of causal and temporal relations
Entity linking, pronouns and coreference
Discourse, pragmatics, and dialogue
Machine reading
Extra-propositional aspects of meaning
Multiword and idiomatic expressions
Metaphor, irony, and humor
Knowledge mining and acquisition
Common sense reasoning
Language generation
Semantics in NLP applications: sentiment analysis, abusive language detection, summarization, fact-checking, etc.
Multidisciplinary research on semantics
Grounding and multimodal semantics
Psycholinguistics
Interpretability and Explainability
Human semantic processing
Semantic annotation, evaluation, and resources
Ethical aspects and bias in semantic representations
We encourage authors to think about the ethical aspects of their work, and to address and discuss all ethical questions and implications relevant to their research. STARSEM values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here.
Submission Instructions
Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Please note that double submission of papers will need to be notified at submission.
Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions.
Submissions should follow the ARR formatting requirements. The deadline for direct submissions is Feb 22, 2024, and these submissions will be reviewed by the *SEM-2024 program committee. ACL Rolling Review (ARR) submissions can be committed to *SEM up to March 22, 2024 (authors of ARR-reviewed papers need to include their OpenReview link with reviews in the submission form). Both types of submissions are through OpenReview. Limitations and Ethics Statement sections are allowed and encouraged, but they are not mandatory. They should be placed after the conclusion and they will not count towards the overall page limit.). In *SEM there is no special policy against multiple submissions, but this should be notified to the Program Chairs.
Submission link: https://openreview.net/group?id=aclweb.org/StarSEM/2024/Conference
Important Dates
Anonymity period for direct submissions begins Jan 22, 2024
Direct submission deadline Feb 22, 2024
ARR-reviewed paper submission deadline Mar 22, 2024
Notification of acceptance Apr 22, 2024
Camera-ready deadline May 5, 2024
Conference date Jun 16, 2024
Anonymity period
To protect the integrity of double-blind review and ensure that submissions are reviewed fairly, we adopt the rules and guidelines for ACL conferences. The following rules and guidelines make reference to the anonymity period, which runs from 1 month before the submission deadline (starting February 22, 2024 11:59PM UTC-12:00) up to the date when your paper is either accepted, rejected (Apr 22, 2024), or withdrawn.
You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. By a version of a paper we understand another paper having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length (e.g., an abstract is a version of the paper that it summarizes).
If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the program chair(s) that a non-anonymized version exists.
You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period.
Note that, while you are not prohibited from making a non-anonymous version available online before the start of the anonymity period, this does make double-blind reviewing more difficult to maintain, and we therefore encourage you to wait until the end of the anonymity period if possible. Alternatively, you may consider submitting your work to the Computational Linguistics journal, which does not require anonymization and has a track for “short” (i.e., conference-length) papers.
Welcome to SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes!
Task description: SHROOM participants will need to detect grammatically sound output that contains incorrect semantic information (i.e. unsupported or inconsistent with the source input), with or without having access to the model that produced the output.
Overview of the task: The modern NLG landscape is plagued by two interlinked problems:
On the one hand, our current neural models have a propensity to produce inaccurate but fluent outputs; on the other hand, our metrics are most apt at describing fluency, rather than correctness. This leads neural networks to “hallucinate”, i.e., produce fluent but incorrect outputs that we currently struggle to detect automatically. For many NLG applications, the correctness of an output is however mission critical. For instance, producing a plausible-sounding translation that is inconsistent with the source text puts in jeopardy the usefulness of a machine translation pipeline. With our shared task, we hope to foster the growing interest in this topic in the community.
With SHROOM we adopt a post hoc setting, where models have already been trained and outputs already produced: participants will be asked to perform binary classification to identify cases of fluent overgeneration hallucinations in two different tracks: a model-aware and a model-agnostic track. In the former, participants have access to the model that produced the output; in the latter, they do not. To ensure a low-barrier to entry, we format the task as a binary classification problem. We now also provide a baseline kit, containing a baseline system, a format checker and the scoring program.
All systems will be rated on accuracy (i.e., the proportion of test examples correctly labeled) and calibration (i.e., the correlation between the probability assigned by a system and the proportion of annotators marking a production as hallucinatory).
We provide to participants a collection of checkpoints, inputs, references and outputs of systems covering three NLG tasks: definition modeling (DM), machine translation (MT), and paraphrase generation (PG), trained with varying degrees of accuracy. The development set provides binary annotations from five different annotators and a majority vote gold label.
Anyone wishing to participate in the task is welcome! Participants will have to
* Submit at least once during the evaluation phase on January;
* Write a system description paper before February 19;
* Review other system description papers (max. 2).
Trial, dev and train data are now available on the task website:
https://helsinki-nlp.github.io/shroom/
Codalab competition: https://codalab.lisn.upsaclay.fr/competitions/15726
Join the mailing group: https://groups.google.com/u/1/g/semeval-2024-task-6-shroom
Updates on Twitter: @shroom2024<https://twitter.com/shroom2024>
Important dates:
* Sample data ready: July 15th, 2023
* Validation data ready: September 11th, 2023
* Unlabeled train data ready: September 22nd, 2023
* Evaluation period starts (test set released): January 10th, 2024
* Evaluation period ends: January 31st, 2024
* Workshop paper submission deadline: February 19th, 2024
* Notification to authors: March 18th, 2024
* SemEval workshop: 16–21 June, Mexico (collocated with NAACL 2024)
Task organizers
* Elaine Zosa, Silo AI, Finland
* Raúl Vázquez, University of Helsinki, Finland
* Jörg Tiedemann, University of Helsinki, Finland
* Vincent Segonne, Southern Brittany University, France
* Teemu Vahtola, University of Helsinki, Finland
* Alessandro Raganato, University of Milano-Bicocca, Italy
* Timothee Mickus, University of Helsinki, Finland
* Marianna Apidianaki, University of Pennsylvania, USA
Call for Papers: * HTRes 2024 – Holocaust Testimonies as Language
Resources *Pre-conference workshop at LREC-COLING 2024
(https://lrec-coling-2024.org/)
Tuesday, 21st May, 2024 in Torino, Italy
Workshop webpage: https://www.clarin.eu/HTRes2024
** Final date for paper submission: 21 February 2024 **
Holocaust testimonies serve as a bridge between survivors and history’s
darkest chapters, providing a connection to the profound experiences of
the past. Testimonies stand as the primary source of information that
describe the Holocaust, offering first-hand accounts and personal
narratives of those who experienced it. The majority of testimonies are
captured in an oral format, as survivors vividly explain and share their
personal experiences and observations from that time period.
Transforming Holocaust testimonies into a machine-processable digital
format can be a difficult task owing to the unstructured nature of the
text. The creation of accessible, comprehensive, and well-annotated
Holocaust testimony collections is of paramount importance to our
society. These collections empower researchers and historians to
validate the accuracy of socially and historically significant
information, enabling them to share critical insights and trends derived
from these data. This workshop will investigate a number of ways in
which techniques and tools from natural language processing and corpus
linguistics can contribute to the exploration, analysis, dissemination
and preservation of Holocaust testimonies.
Topics of interest:
We expect contributions related to the following topics:
* Creation of datasets and development of tools for the study of
Holocaust testimonies:
* Creation of language corpora of Holocaust testimonies
* Digitisation and enhancement of oral and written testimonies
(including automatic speech recognition, alignment of text and
speech, format conversion, OCR, handwriting recognition, machine
translation)
* Named entity recognition for identifying people, places, and events
in testimonies
* Standards, representation formats, and guidelines for annotations
and vocabularies relevant to the Holocaust testimonies
* Creation, adaptation and tuning of software applications for the
creation, annotation, enhancement and use of Holocaust testimonies
as language resources
Research using NLP and Holocaust testimonies
* Applications of NLP in analysing Holocaust survivor testimonies
* Sentiment analysis and emotional content extraction from survivor
narratives.
Data Visualisation, Knowledge Representation and Information Extraction:
* Visualising complex data structures from Holocaust testimonies
* Building knowledge graphs and networks to represent historical
relationships
* Interactive data visualisations for education and research
* Extracting biographical and temporal information relevant to the
Holocaust
* Deep learning and large language models
Digital Archiving and Long-Term Preservation:
* Methods and tools for digitising and preserving Holocaust testimonies
* Best practices for metadata standards and cataloguing
* Ensuring long-term accessibility and data integrity
Ethical Considerations and Privacy
* Ethical challenges in digitising and sharing sensitive testimonies
* Anonymisation and privacy protection in Holocaust data
* Community engagement and consent in digital projects
User and application aspects
* Development of tools and interfaces for the search, analysis and
exploration of Holocaust testimonies
* Other relevant use cases and application scenarios
All papers must clearly state and explain their relevance to the topic
of 'Holocaust Testimonies as Language Resources'.
All papers must represent original and unpublished work that is not
currently under review. Papers will be evaluated according to their
significance, originality, technical content, style, clarity, and
relevance to the workshop. We welcome the following types of contributions:
Standard research papers (up to 8 pages, plus more pages for references
if needed);
Short research papers (from 4 to 6 pages, plus more pages for references
if needed).
Submissions should strictly follow the LREC2024 stylesheet formatting
guidelines. All papers should be electronically submitted in PDF format
via the main conference platform via START
(https://softconf.com/lrec-coling2024/htres2024/)
Important Dates:
Final date for paper submission: 21 February 2024
Notification of Acceptance: 20 March 2024
Camera-ready version submission: 15 April 2024
Workshop date: 21 May 2024
Programme:
Please refer to the website for the details of the programme, plus the
organizing and programme committees: https://www.clarin.eu/HTRes2024
--
Senior Researcher in Corpus Linguistics
Faculty of Linguistics, Philology and Phonetics, University of Oxford
National Co-ordinator, CLARIN-UK
martin.wynne(a)ling-phil.ox.ac.uk
https://orcid.org/0000-0002-4155-0530
Please note that students in NLP are also very welcome to apply to the
CS @ Max Planck PhD Program; NLP Faculty in this program include e.g.
Mariya Toneva and Vera Demberg.
CS @ Max Planck is a selective doctoral program that grants
admitted students full financial support to pursue doctoral research
in the field of computer and information science, with faculty at Max
Planck Institutes and some of the best German universities.
To qualify for the program, students must hold a Bachelor’s or
Master’s degree in computer science (or a related field) and have an
outstanding academic record. We especially encourage applications
from students who wish to explore research across the CS spectrum
before committing to a topic and advisor.
For more information about the program, see:
https://www.cis.mpg.de/graduate-programs/cs-max-planck
The next application deadline is December 31, 2023.
For further information, please contact Gretchen Gravelle (MPI-SWS Grad
Office, grad-office(a)mpi-sws.org)
Apologies for cross-posting.
----------------------------------------
*The International Conference on Spoken Language Translation*
*21st IWSLT 2024 – First Call for Participation*
*August 15-16, 2024 – Bangkok, Thailand*
*http://iwslt.org <http://iwslt.org/>*
The International Conference on Spoken Language Translation (IWSLT) is the
premier annual conference for all aspects of Spoken Language Translation.
Every year, the conference organizes and sponsors open evaluation campaigns
around key challenges in simultaneous and consecutive translation, under
real-time/low latency or offline conditions and under low-resource or
multilingual constraints. System descriptions and results from
participants’ systems and scientific papers related to key algorithmic
advances and best practices are presented.
IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken
Language Translation of ACL, ISCA and ELRA. With a track record of 20
years, IWSLT benchmarks and proceedings serve as reference for all
researchers and practitioners working on speech translation and related
fields.
The 21st edition of IWSLT will be run as an *ELRA/ACL* event and co-located
with ACL 2024 <https://2024.aclweb.org/> on August 15-16, 2024. It will be
run as a hybrid event.
Important Dates
January 15, 2024: Release of shared task training and dev data
April 01-15, 2024: Evaluation period
April 29, 2024: Paper submission due (all papers)
June 4, 2024: Notification of acceptance
June 24, 2024: Camera-ready paper due
July 22, 2024: Pre-recorded video due
August 15-16, 2024: Conference
Evaluation
The IWSLT 2024 features shared tasks <https://iwslt.org/2024/#shared-tasks>
that address the following focus areas:
- Speech-to-speech track
- Simultaneous track
- Subtitling track
- Offline track
- Dubbing track
- Low-resource track
- Indic track
Training, development and test data for each shared task will be prepared
and released by the respective organizers (for further information on this
initiative, please refer to the website <https://iwslt.org/2024/>).
Participants will receive instructions about how to submit their runs. In
addition, participants have the opportunity to present their work
through a system
paper that will be published in the ACL Proceedings.
Conference
IWSLT also invites submissions of scientific papers to be published in the
ACL Proceedings and presented either in oral or poster format. The
conference selects high-quality, original contributions on theoretical and
practical issues of spoken language translation research, technologies and
applications. For further information on this initiative, please refer to
the website <https://iwslt.org/2024/#paper-submission>
Contact
Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you
have any questions related to the shared tasks.
CfP: The First Workshop on Language-driven Deliberation Technology (DELITE2024)
Date: 20 May 2024
Co-located with LREC-COLING 2024, Torino, Italy
Website: https://idea.kmi.open.ac.uk/the-first-workshop-on-language-driven-deliberat…
*********************************************************************************
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
***************
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 (4 pages, including references) for 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: 23 February 2024
Notification of acceptance: 13 March 2024
Camera-ready versions due: 20 March 2024
Workshop date: 20 May 2024 (half-day)
Workshop organizers:
**************************
Annette Hautli-Janisz (University of Passau)
Gabriella Lapesa (Leibniz Institute for the Social Sciences (GESIS), Köln, Heinrich-Heine University Düsseldorf)
Valentin Gold (University of Göttingen)
Anna de Liddo (The Open University)
Chris Reed (University of Dundee)
Program Committee:
*********************
Lucas Anastasiou (The Open U.)
Miriam Butt (U. Konstanz)
Philipp Cimiano (U. Bielefeld)
Katharina Esau (Queensland U. of Technology)
Neele Falk (U. Stuttgart)
Iman Jundi (U. Stuttgart)
Zlata Kikteva (U. Passau)
John Lawrence (U. Dundee)
Marcin Lewinsky (U. Lisbon)
Steve Oswald (U. Fribourg)
Joonsuk Park (U. Richmond)
Brian Plüss (U. Dundee)
Julia Romberg (U. Düsseldorf)
Paolo Spada (U. Southampton)
Manfred Stede (U. Potsdam)
Sebastian Stier (GESIS, Köln)
Eva Maria Vecchi (U. Stuttgart)
Jacky Visser (U. Dundee)
Henning Wachsmuth (U. Hannover)
Timon Ziegenbein (U. Hannover)
Contact:
********
delite(a)fim.uni-passau.de
https://idea.kmi.open.ac.uk/the-first-workshop-on-language-driven-deliberat…
The "Share your LRs!" initiative:
*********************************
When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
*The Third Ukrainian Natural Language Processing Workshop (UNLP 2024)*
<https://unlp.org.ua/>
*Call For Papers*
UNLP 2024 <https://unlp.org.ua/> will be held *online* on May 25, 2024, in
conjunction with LREC-COLING 2024.
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.
We hope that 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,
- code-switching and Ukrainian dialects,
- Ukrainian NLP in interaction with other artificial intelligence
technologies.
*Note:* The workshop will accept research papers for the Crimean Tatar
language with the aim of supporting this severely endangered language of
the indigenous people of Ukraine. The workshop will also accept papers with
negative results.
*Important dates*
March 1, 2024 — Workshop paper due
March 29, 2024 — Notification of acceptance
TBD (mid-April) — Camera-ready papers due
May 25, 2024 — Workshop
*Submissions*
UNLP invites submissions of completed and ongoing projects. Submissions
describing resources or solutions that have been made available to the
broader public are strongly encouraged.
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.
The workshop will provide *Grammarly Premium* to all authors. To request
Grammarly Premium, please submit the form provided on the website home page
<https://unlp.org.ua/>.
Learn more at https://unlp.org.ua/call-for-papers/.
Link for paper submission: https://softconf.com/lrec-coling2024/unlp2024/.
*Share your LRs!*
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the
work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC-COLING authors to share the described LRs (data,
tools, services, etc.) to enable their reuse and replicability of
experiments (including evaluation ones).
*Workshop Organizers*
Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine
Mariana Romanyshyn, Grammarly, Ukraine
Nataliia Romanyshyn, Ukrainian Catholic University, Ukraine
Oleksii Ignatenko, Ukrainian Catholic University, Ukraine
Find our program committee members at https://unlp.org.ua/committees/.
*Follow us*
Website: https://unlp.org.ua/.
Twitter: https://twitter.com/UNLP_workshop.
Telegram: https://t.me/UNLP_workshop.
Facebook: https://www.facebook.com/UNLPworkshop.
Email: info(a)unlp.org.ua.
Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 on Malta-March 17-22, 2024.
Workshop website: https://sites.google.com/view/teicai2024
Submission link: https://softconf.com/eacl2024/TEICAI-2024/
Submission Deadline: 22 December 2023 (anywhere on earth)
Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This, combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters.
Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems.
To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights in relation to conversational language technology and AI (e.g., chatbots, voice assistants, multimodal conversational interfaces).
Possible topics may include:
- Language ideologies in conversational AI
- Language rights in conversational AI
- Socio-cultural context in conversational AI
- Language inclusion in training data for enhancing inclusivity
- Incorporating non-verbal communication elements (gestures, emotions) in AI
- Sign language and multimodal conversational AI
- Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences)
- The sense of human agency and identity while interacting with conversational AI
- Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations)
- Linguistic discrimination in conversational AI
- Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations
We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf, and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The proceedings will be published in the ACL anthology.
Important dates:
Workshop paper due: December 22, 2023
Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30, 2024
Proceedings due: February 7, 2024
Workshop dates: March 21-22, 2024
Workshop Organizers:
Sviatlana Höhn, LuxAI, Luxembourg
Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg
Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg
Angela Soltan, State University of Moldova, Moldova
Bettina Migge, University College Dublin, Ireland
Doris Dippold, University of Surrey, UK
Fred Philippy, Zortify, Luxembourg
Ekaterina Kamlovskaya, Translatables
Program Committee:
A list of program committee members is available on the workshop website.
For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com .
You can follow us on LinkedIn (TEICAI) and Twitter (teicai2024) to get more updates about the workshop.
On behalf of the organizers
Nina Hosseini-Kivanani
University of Luxembourg
The First Workshop on Natural Language Processing For Human Resources will
be held on 21 or 22 March (TBD) in Malta together with EACL 2024.
The Human Resources (HR) field involves a range of diverse tasks where
Natural Language Processing (NLP) can provide valuable assistance. These
tasks include talent acquisition, career growth guidance, performance
management, continuous education and training, among others. At the same
time, the adoption of automated techniques for HR applications can also
pose certain risks and concerns, such as fairness, privacy,
reproducibility, controllability, and transparency among others, for which,
again, NLP research can play a pivotal role. The NLP4HR workshop aims to
bring together research communities from academia and industry in these
interconnected areas to discuss related challenges and opportunities. The
workshop will feature invited talks, a panel discussion, and presentations
of submitted long and short papers. It will also provide a platform for
researchers and practitioners to come together and exchange their ideas and
experiences through open discussions.
* Important Dates *
Mentorship program deadline: December 15, 2023
Workshop submission deadlines:
- Direct submission: December 18, 2023
- Mentorship paper submission: January 5, 2024
- Paper commitment via ARR: January 17, 2024
Notification of acceptance for all submissions: January 20, 2024
Camera-ready paper due: January 30, 2024
Workshop: 21 or 22 March 2024 (TBD)
*All deadlines are 11:59 PM AoE
* Topics of Interest *
The topics for submissions include but are not limited to:
- Acquiring HR-specific knowledge from a variety of sources
- Information extraction from HR documents, including job descriptions and
resumes
- Representation learning for HR entities like jobs, job seekers, and
employers
- Analysis of opinions on companies
- Search and recommendation systems for recruiters and job seekers
- Conversational HR assistants
- Generation of HR-related documents
- Question answering systems for HR-related inquiries
- Identification and rectification of biases
* Submissions *
We invite submissions of both long and short papers that present original
and previously unpublished research addressing the challenges associated
with the application of NLP for HR. We also consider non-archival
submissions upon request (*Please inform the organizers before
submitting). Accepted papers will be presented either through oral
presentations or poster sessions and will be included in the EACL
proceedings as workshop papers.
All regular papers and short papers should adhere to the EACL 2024
submission guidelines, with the only exception being the mandatory
inclusion of a limitations section. While we strongly encourage authors to
discuss the limitations of their work, we will not reject papers solely for
lacking a limitations section.
- Long papers can have up to 8 pages of content, with unlimited references
and appendices. Accepted long papers will also receive an additional page
of content (up to 9 pages) in the proceedings to incorporate feedback from
the reviewers.
- Short papers can have up to 4 pages of content, with unlimited references
and appendices. Accepted short papers will also receive an additional page
of content (up to 5 pages) in the proceedings to incorporate feedback from
the reviewers.
- All submissions must follow the official ACL style format, which can be
found at this link: https://github.com/acl-org/acl-style-files
- Unlike the main track of EACL 2024, papers without a limitations section
will still undergo review for the NLP4HR workshop. Nevertheless, we
strongly encourage authors to address the limitations of their work in a
dedicated section titled "Limitations." This section should be placed at
the end of the main content of the paper, following the
discussion/conclusions section and preceding the references, and will not
count towards the page limit.
For more detailed information, please refer to the EACL 2024 website (
https://2024.eacl.org).
Important Notes:
- No dual submission: NLP4HR will not consider any paper that is currently
under review in a journal, another conference, or workshop at the time of
submission, and submitted papers must not be simultaneously submitted
elsewhere during the review period.
- Presentation: All accepted papers must be presented either in person or
virtually at the workshop. At least one author of each accepted paper must
register for EACL 2024 and participate in the workshop.
Submission links:
- Direct submission:
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/NLP4HR
- Paper commitment (ARR):
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/NLP4HR_ARR_Comm…
* Mentorship Program and Student Scholarship Program *
The workshop will offer two programs aimed at promoting diversity,
fairness, and equality for all participants who submit to and attend the
workshop. (1) We host a mentorship program, designed to foster valuable
exchanges between prospective workshop attendees and experts working in
fields relevant to the workshop theme. (2) We will cover the registration
fees for up to four deserving student researchers. Further details
regarding this will be announced on the workshop website.
Applications to the mentorship program are due December 15th, 2023.
Applications and more details can be found at
https://forms.gle/8AycB9rgpkpt7oiu9
* NLP4HR 2024 Organizing Committee *
- Estevam Hruschka, Megagon Labs, USA
- Thom Lake, Indeed, USA
- Naoki Otani, Megagon Labs, USA
- Tom Mitchell, Carnegie Mellon University, USA
For more details, visit the workshop website at
https://megagon.ai/nlp4hr-2024/
--
Estevam Hruschka
Lab Director and Staff Research Scientist
Megagon Labs - www.megagon.ai