The 1st Workshop on DHOW: Diffusion of Harmful Content on Online Web
Workshop
The workshop will be conducted in a *hybrid* format to ensure maximum
participation, accommodating attendees both *online* and in person.
Submission deadline: extended to *March 22 2024 AOE*
*Workshop site*: https://dhow-workshop.github.io/
*Co-located with WebSci 2024*
https://websci24.org/ <https://lrec-coling-2024.org/>
Stuttgart, Germany, 21-24 May 2024
*Important Dates*
Submission deadline: extended to *March 22, 2024*
Notification of acceptance: April 12, 2024
Camera-ready papers due: April 22, 2024
Workshop date: May 21, 2024
*Workshop Description*
With the advancement of digital technologies and gadgets, online content is
easily accessible. At the same time, harmful content also gets spread.
There are different harmful content available on different platforms in
multiple languages. The topic of harmful content is broad and covers
multiple research directions. But from the user’s aspect, they are affected
by them all. Often, it is studied individually, like misinformation and
hate speech. Research has been done on one platform, monolingual, on a
particular issue. It leads to harmful content spreaders switching platforms
and languages to reach the user base. Harmful is not limited to social
media but also news media. Spreader shares harmful content in posts, news
articles, comments, and hyperlinks. So, there is a need to study the
harmful content by combining cross-platform, language, multimodal data and
topics.
We will bring the research on harmful content under one umbrella so that
research on different topics (hate speech, misinformation, disinformation,
self-harm, offensive content, etc.) can bring some novel methods and
recommendations for users, leveraging text analysis with image, audio, and
video recognition to detect harmful content in diverse formats. The
workshop will cover the ongoing issue of war or elections in 2024.
We believe this workshop will provide a unique opportunity for researchers
and practitioners to exchange ideas, share latest developments, and
collaborate on addressing the challenges associated with harmful contents
spread across the Web. We expect that the workshop will generate insights
and discussions that will help advance the field of societal artificial
intelligence (AI) for the development of safer internet. In addition to
attracting high quality research contributions to the workshop, one of the
aims of the workshop is to mobilise the researchers working on the related
areas to form a community.
*Submissions Topics*
- Analysis of different types of harmful content(fake news,
misinformation, hate speech)
- Computational fact-checking
- Role of Generative AI in Mitigating Harmful Content
- Identifying harassment/bullying/hate speech, and
misinformation/disinformation
- Role of Explainable AI in Studying Harmful Content
- Multi-modal harmful content (fake news, misinformation, hate speech)
- Deepfake and its influence
- Multi-lingual harmful content like Hate speech, Fake News, Bot, spam,
troll detection
*Submissions*
- Submission Instructions: https://dhow-workshop.github.io/#call
- Submission Link: https://easychair.org/conferences/?conf=dhow2024
* Workshop organizers*
- Thomas Mandl (University of Hildesheim, Germany)
- Haiming Liu (University of Southampton, United Kingdom)
- Gautam Kishore Shahi (University of Duisburg-Essen, Germany)
- Amit Kumar Jaiswal (University of Surrey, United Kingdom )
- Luis-Daniel Ibáñez (University of Southampton, United Kingdom)
- Durgesh Nandini (University of Bayreuth, Germany)
Organisers,
DHOW 2024
Web: DHOW <https://websci24.org/workshops-and-tutorials/>
=============================
*Invitation to Shared Task 4 #SMM4H: Extraction of the clinical and social
impacts of nonmedical substance use from Reddit*
=============================
Substance use, both prescription and illicit, has become a significant
public health concern, leading to addiction, overdose, and associated
health issues. Understanding the clinical impacts and social impacts of
nonmedical substance use is essential for improving the treatment of
substance use disorder.
In this Named Entity Recognition (NER) task, we focus on two entity types:
clinical impacts and social impacts. Instances in the clinical impacts
category describe the clinical effects, consequences, or impacts of
substance use on individuals' health. Instances the social impacts describe
the societal, interpersonal, or community-level effects, consequences, or
impacts of nonmedical substance use. Systems designed for this task need to
detect these impacts and automatically distinguish between clinical impacts
and social impacts in text data derived from Reddit. We anticipate that the
strategies will involve leveraging Large Language Models (LLMs).
Participating teams have the opportunity to submit a short system
description paper for the SMM4H proceedings. The 9th Social Media Mining
for Health Research and Applications Workshop (SMM4H) is co-located with
ACL 2024, to be held in Bangkok, Thailand.
Website: https://healthlanguageprocessing.org/smm4h-2024/
You can find more details on SMM4H Shared Task 4 on Codalab:
https://codalab.lisn.upsaclay.fr/competitions/16648
Registration Form:
https://docs.google.com/forms/d/e/1FAIpQLSet9w5zqlaZMZVuPqvW2GnBYTs5_NUjU4r…
------
*Important Dates*
------
Training data available: Jan 10, 2024
CodaLab Available: Jan 17, 2024
Test data available: Apr 17, 2024
Evaluation end: Apr 24, 2024
System description paper due: May 17, 2024
Paper acceptance notification: June 17, 2024
Camera-ready papers due: July 1, 2024
Workshop in Bangkok, Thailand (co-located with ACL 2024): August 15, 2024
(hybrid event, online presentation will be available)
*All deadlines are 11:59 PM UTC (3:59 PM PST). No extension will be
provided.*
------
*Organizers of Shared Task 4*
------
Abeed Sarker, Emory University, USA
Yao Ge, Emory University, USA
Swati Rajwal, Emory University, USA
Sudeshna Das, Emory University, USA
*Questions on Shared Task 4 may be addressed to Yao Ge, Emory University,
USA (yao.ge(a)emory.edu <yao.ge(a)emory.edu>)*
Dear Colleagues, (please forward)
We invite you to submit your research and perspectives to ALL 4 Health 2024
– The First Workshop on Applying LLMs in LMICs for Healthcare Solutions.
Submission Deadline: March 21st, 2024 (extended from March 1st)
Website: https://www.nivi.io/all4health
Contact: all-4-health(a)googlegroups.com
ALL 4 Health will be held at the University of Florida on June 3rd in
conjunction with the IEEE International Conference on Healthcare Informatics
<https://ieeeichi2024.github.io/> (ICHI 2024
<https://ieeeichi2024.github.io/>). There has been substantial and growing
interest and funding from the development sector in applying Large Language
Model (LLM) technologies in Low- and Middle-Income Countries (LMICs) to
address healthcare and other social good challenges.[1] Simultaneously,
there have been acknowledgements from the software industry and from NLP
researchers that state of the art LLMs are heavily influenced by Western /
developed world data and have significant capability gaps between high- and
low-resource languages.[2,3,4] Additional research and collaboration is
required to bridge this gap.
The goal of this workshop is to bring together researchers and
practitioners from diverse disciplinary backgrounds to discuss challenges
and opportunities for applying LLMs for health applications in low-resource
settings, and to share findings on gaps, pitfalls, best practices, and
opportunities for impact.
We invite novel approaches, works in progress, comparative analyses of
tools, and advancing state-of-the-art work relevant to applying LLMs for
health applications in low-resource languages and settings. Specific topics
of interest include, but are not limited to:
* Evaluations of LLMs in contexts with substantial code-switching
* Comparisons of LLM accuracy/suitability between high- and low-resource
languages
* Approaches to localizing the health information processing of LLMs in the
context of the laws, culture, service availability, and public health
realities in specific LMICs
* Data sources for training or tuning LLMs for use on low-resource
languages or in LMIC contexts
* Studies demonstrating the health or health knowledge impact of LLM
applications in low-resource language and/or LMIC contexts
* Equity- and Diversity-based evaluations of LLM performance on health
domain tasks
* Evidence-based position papers on best practices
We will accept full papers (4-6 pages, including references) and abstracts
(2 pages, including references). Full papers will be eligible for a Best
Paper Award with a $300 (USD) prize sponsored by MSD for Mothers
<https://www.msdformothers.com/>.
Please see https://www.nivi.io/all4health for further information including
submission instructions.
Best wishes,
The ALL 4 Health organizing committee
all-4-health(a)googlegroups.com
https://www.nivi.io/all4health
References:
1.
R. Shrivastava. “Gates Foundation Funds Nearly 50 Generative AI Projects
In Low And Middle Income Countries.” Forbes, 10 August 2023,
https://www.forbes.com/sites/rashishrivastava/2023/08/10/gates-foundation-f…
2.
Viet Dac Lai, et al. "Chatgpt beyond english: Towards a comprehensive
evaluation of large language models in multilingual learning.
<https://arxiv.org/abs/2304.05613>" arXiv preprint arXiv:2304.05613
(2023).
3.
J. Dodge, et al. "Documenting large webtext corpora: A case study on the
colossal clean crawled corpus. <https://arxiv.org/abs/2104.08758>" arXiv
preprint arXiv:2104.08758 (2021).
4.
N.R. Robertson, et al. "ChatGPT MT: Competitive for High- (but not Low-)
Resource Languages. <https://arxiv.org/abs/2309.07423>" arXiv preprint
arxiv:2309.07423 (2023).
*** Last Mile for Workshop Papers Submission ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: 18th March, 2024 AoE (extended) ***)
( *** Workshops Proceedings will appear in the LNBIP series by Springer ***)
CAiSE is a well-established, highly visible conference series on Advanced Information Systems
(IS) Engineering. It covers all relevant topics in the area, including methodologies and
approaches for IS engineering, innovative platforms, architectures and technologies, and
engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting
workshops in related fields. Workshops are intended to focus on particular topics and provide
ample room for discussions of new ideas and developments. Accepted workshop papers
of some workshops will be published by Springer in the LNBIP series.
CAiSE'24, the 36th edition of the CAiSE series, will host the following workshops. For more
information for each workshop please visit the workshops' web sites.
CAiSE'24 WORKSHOPS
• 3rd International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE)
https://agilise.github.io/2024/index.html
• International Workshop on Blockchain for Information Systems (BC4IS24) and Blockchain for
Trusted Data Sharing (B4TDS)
https://pros.unicam.it/bc4isb4tds/
• 2nd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for
Intelligent Information Systems (HybridAIMS)
https://hybridaims.com/
• 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering
https://www.omilab.org/activities/events/caise2024_kg4sdse/
• 16th International Workshop on Enterprise & Organizational Modeling and Simulation
(EOMAS 2024)
https://eomas2024.fel.cvut.cz/
• Digital Transformation with Business Process Mining (DigPro2024)
https://digpro.iiita.ac.in/
IMPORTANT DATES
• Abstract Submission Deadline (optional): 11th March, 2024 (AoE)
• Paper Submission Deadline: 18th March, 2024 (AoE) (*** extended ***)
• Notification of Acceptance: 1st April, 2024
• Camera-ready Deadline: 5th April, 2024
• Author Registration Deadline: 10th April, 2024
WORKSHOP CHAIRS
• João Paulo A. Almeida, Federal University of Espírito Santo, Brazil
• Claudio di Ciccio, Sapienza University of Rome, Italy
• Christos Kalloniatis, University of the Aegean, Greece
*SIGHAN 2024 Shared Task for Chinese Dimensional Aspect-Based Sentiment
Analysis (dimABSA)*
The 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10)
Location: Bangkok, Thailand (co-located with ACL 2024)
Date: Friday, August 16, 2024
Shared Task: Dimensional Aspect-Based Sentiment Analysis (dimABSA)
Task Website: https://dimabsa2024.github.io/
Registration and Submission: https://www.codabench.org/competitions/2137/
*Task Summary *
*Aspect-Based Sentiment Analysis (ABSA)* is a critical NLP research topic
that aims to identify the aspects of a given sentence and analyze the
sentiments associated with each aspect. Compared to representing affective
states as several discrete classes (i.e., polarity), the dimensional
approach that represents affective states as continuous numerical values
(called intensity) in multiple dimensions, such as valence-arousal (VA)
space, provides more fine-grained emotional information. Therefore, we
organize a *Chinese dimensional ABSA shared task (dimABSA) in the SIGHAN
2024 workshop*, providing fine-grained sentiment intensity prediction for
each extracted aspect of a restaurant review. We have three subtasks:
1) *Intensity
Prediction*, 2) *Triplet Extraction*, and 3) *Quadruple Extraction*.
Participants will be free to choose the subtasks they wish to participate
in.
More information is available online at https://dimabsa2024.github.io/
*Important Dates*
Note that all deadlines are 23:59:59 AoE (UTC-12).
- Release of training data: 1st March, 2024
- Release of test data: 20th May, 2024
- Testing results submission due: 24th May, 2024
- System description paper due: 7th June, 2024
- Notification of Acceptance: 17th June, 2024
- Camera-ready deadline: 1st July, 2024
- SIGHAN 2024 Workshop: August 16, 2024
*Organizers *
- Lung-Hao Lee, National Yang Ming Chiao Tung University
- Liang-Chih Yu, Yuan Ze University
- Suge Wang, Shanxi University
- Jian Liao, Shanxi University
***Update: call for papers extended to March 21st***
We are excited to announce the *7th Laughter and Other Non-Verbal
Vocalisations Workshop* (bit.ly/LaughterWorkshop2024) on July 16-17 at
Queen’s University Belfast. The workshop will be a pre-conference event,
part of the 2024 Conference of the International Society for Research on
Emotion (www.isre2024.org).
Non-verbal vocalisations in human-human and human-machine interactions
play important roles in displaying social and affective behaviours and
in managing the flow of interaction. Laughter, sighs, clicks, filled
pauses, and short utterances such as feedback responses are among some
of the non-verbal vocalisations that are being increasingly studied from
various research fields. However, much is still unknown about the
phonetic or visual characteristics of non-verbal vocalisations
(production/encoding), their relations to the social actions they are
part of, their perceived meanings (perception/decoding), and their
ordering in interaction. Furthermore, with the increased interest for
more naturalness in human-machine interaction, current times also invite
exploring how these phenomena can be integrated in speech applications.
*Research themes* include, but are not restricted to, these aspects of
laughter and other non-verbal vocalisations:
• Articulation, acoustics, and perception
• Interaction and pragmatics
• Affective and evaluative meanings
• Social perception and organisation
• Disfluency
• Technology applications
Researchers are invited to submit *extended abstracts* (2 pages of
content and maximum one additional page for references and figures)
describing original work, including work in progress. The deadline for
submission is March 21st, 2024. More information about the submission
process can be found on our website (bit.ly/LaughterWorkshop2024).
There will be two *keynote presentations* on the topics treated by the
workshop, delivered by Prof. Carolyn McGettigan (University College
London, UK) and Prof. Margaret Zellers (Kiel University, Germany).
The workshop will be supported by the International Speech Communication
Association (ISCA), offering one travel grant for early career scientists.
Looking forward to receiving your contributions and welcoming you at the
workshop in July!
Best wishes,
The LW2024 Organising Committee
Bogdan Ludusan, Bielefeld University, Germany
Marina Cantarutti, University of York, United Kingdom
For further information or questions regarding the workshop you can
contact the organisers at the following email address:
LaughterWorkshop2024(a)gmail.com
The Department of Swedish, Multilingualism, Language Technology at the
University of Gothenburg is inviting applications for the position of
Professor of Language Technology. The new professor's main duties will
be to lead and develop research, education, and outreach in the field
of language technology at the department, in particular within its
Språkbanken Text group.
A detailed description of the position and the application requirements
can be found in University of Gothenburg's job application portal, at
the link below. This detailed description is only available in Swedish,
as proficiency in Swedish or another Scandinavian language is required
for the position.
Applications must be submitted no later than 8 April 2024.
https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038…
<https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038…>
--
GERLOF BOUMA
Universitetslektor
GÖTEBORGS UNIVERSITET
Institutionen för svenska, flerspråkighet och språkteknologi
Språkbanken Text
https://spraakbanken.gu.se/om/personal/gerlof
Dear colleagues,
The Fifth Workshop on Insights from Negative Results in NLP Co-located with
NAACL, June 16-21 2024
First Call for Participation
Insights Website: <https://insights-workshop.github.io/>
Contact email: insights-workshop-organizers(a)googlegroups.com
*Overview
Publication of negative results is difficult in most fields, but in NLP the
problem is exacerbated by the near-universal focus on improvements in
benchmarks. This situation implicitly discourages hypothesis-driven
research, and it turns creation and fine-tuning of NLP models into art
rather than science. Furthermore, it increases the time, effort, and carbon
emissions spent on developing and tuning models, as the researchers have no
opportunity to learn what has already been tried and failed.
This workshop invites both practical and theoretical unexpected or negative
results that have important implications for future research, highlight
methodological issues with existing approaches, and/or point out pervasive
misunderstandings or bad practices. In particular, the most successful NLP
models currently rely on Transformer-based large language models (LLMs). To
complement all the success stories, it would be insightful to see where and
possibly why they fail. Any NLP tasks are welcome: sequence labeling,
question answering, inference, dialogue, machine translation - you name it.
A successful negative results paper would contribute one of the following:
** broadly applicable recommendations for training/fine-tuning/prompting,
especially if X that didn’t work is something that many practitioners would
think reasonable to try, and if the demonstration of X’s failure is
accompanied by some explanation/hypothesis;
** ablation studies of components in previously proposed models, showing
that their contributions are different from what was initially reported;
** datasets or probing tasks showing that previous approaches do not
generalize to other domains or language phenomena;
** trivial baselines that work suspiciously well for a given task/dataset;
** cross-lingual studies showing that a technique X is only successful for
a certain language or language family;
** experiments on (in)stability of the previously published results due to
hardware, random initializations, preprocessing pipeline components, etc;
** theoretical arguments and/or proofs for why X should not be expected to
work;
** demonstration of issues with data processing/collection/annotation
pipelines, especially if they are widely used;
** demonstration of issues with evaluation metrics (e.g. accuracy, F1 or
BLEU), which prevent their usage for fair comparison of methods;
** demonstration of issues with under-reporting of training details of
pre-trained models, including test data contamination and invalid
comparisons
In 2024, we will invite the authors of accepted negative results papers to
nominate the specific work reporting the original positive results. The
goal is to organize joint discussion sessions, so that the community can
learn the most from the specific insightful failure.
* Important Dates
** Submission due: March 10, 2024
** Submission due for papers reviewed through ACL Rolling Review: April 7,
2024
** Notification of acceptance: April 14, 2024
** Camera-ready papers due: April 24, 2024
** Workshop: TBA, between June 21-22, 2024
* Submission
Submission is electronic, using the Softconf START conference management
system.
Submission link: <https://softconf.com/naacl2024/insights2024/>
The workshop will accept short papers (up to 4 pages, excluding
references), as well as 1-2 page non-archival abstract submissions for
papers published elsewhere (e.g. in one of the main conferences or in
non-NLP venues). The goal of this event is to stimulate a meaningful
community-wide discussion of the deep issues in NLP methodology, and the
authors of both types of submissions will be welcome to take part in our
get-togethers.
The workshop will run its own review process, and papers can be submitted
directly to the workshop by March 10, 2024. It is also possible to submit a
paper accompanied with reviews from the ACL Rolling Review system by April
7, 2024. The submission deadline for ARR papers follows the ACL RR
calendar. Both research papers and abstracts must follow the ACL two-column
format. Official style sheets:
https://github.com/acl-org/acl-style-files
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. Please follow the formatting
guidelines outlined here: https://acl-org.github.io/ACLPUB/formatting.html
* Multiple Submission Policy
The workshop cannot accept work for publication or presentation that will
be (or has been) published elsewhere and that have been or will be
submitted to other meetings or publications whose review periods overlap
with that of Insights. Any questions regarding submissions can be sent to
insights-workshop-organizers(a)googlegroups.com.
If the paper has been rejected from another venue, the authors will have
the option to provide the original reviews and the author response. The new
reviewers will not have access to this information, but the organizers will
be able to take into account the fact that the paper has already been
revised and improved.
* Anonymity Period
The workshop will follow the new ACL policy:
https://www.aclweb.org/adminwiki/index.php/ACL_Anonymity_Policy
* Presentation
All accepted papers must be presented at the workshop to appear in the
proceedings. Authors of accepted papers must notify the program chairs by
the camera-ready deadline if they wish to withdraw the paper. At least one
author of each accepted paper must register for the workshop.
Previous presentations of the work (e.g. preprints on arXiv.org) should be
noted in a footnote in the camera-ready version (but not in the anonymized
version of the paper).
The workshop will take place during NAACL 2024 (June 16-21 2024). It will
be hybrid, allowing for both in-person and virtual presentations.
* Organization Committee
** Shabnam Tafreshi, inQbator AI at eviCore Healthcare
** Arjun Reddy Akula, Google Research
** João Sedoc, New York University
** Anna Rogers, IT University of Copenhagen
** Aleksandr Drozd, RIKEN
** Anna Rumshisky, University of Massachusetts Lowell / Amazon Alexa
* Contact info
Any questions regarding the workshop can be sent to
insights-workshop-organizers(a)googlegroups.com.
Please continue reading about: Authorship, Citation and Comparison, Ethics
Policy, Reproducibility, and Presentation in the call for paper page on our
website: https://insights-workshop.github.io/2024/cfp/
Regards,
Insights 2024 Organizers
--
*Shabnam Tafreshi, PhD*
*Machine Learning Senior Advisor - NLP Researcher*
*Computational Linguistics, NLP*
*inQbator AI at eviCore Healthcare*
*"All the problems of the world could be settled easily, if people only
willing to think."*
*-Thomas J. Watson*
International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
Varna, Bulgaria, 3-6 July 2024
https://nettt-conference.com/
Submission deadline: 31st March 2024
# The conference
The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024.
Continuing the tradition of the first edition of the NeTTT conference and HiT-IT events series, the objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures.
The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings.
# Conference topics
Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting. NeTTT’2024 will feature a Special Theme Track "Future of Translation Technology in the Era of LLMs and Generative AI".
The conference topics include but are not limited to:
## CAT tools
- Translation Memory (TM) systems
- NLP and MT for translation memory systems
- Terminology extraction tools
- Localisation tools
## Machine Translation
- Latest developments in Neural Machine Translation
- MT for under-resourced languages
- MT with low computing resources
- Multimodal MT
- Integration of MT in TM systems
- Resources for MT
## Technologies for MT deployment
- MT evaluation techniques, metrics and evaluation results
- Human evaluations of MT output
- Evaluating MT in a real-world setting
- Quality estimation for MT
- Domain adaptation
## Translation Studies
- Corpus-based studies applied to translation
- Corpora and resources for translation
- Translationese
- Cognitive effort and eye-tracking experiments in translation
## Interpreting studies
- Corpus-based studies applied to interpreting
- Corpora and resources for interpreting
- Interpretese
- Resources for interpreting and interpreting technology applications
- Cognitive effort and eye-tracking experiments in interpreting
## Interpreting technology
- Machine interpreting
- Computer-aided interpreting
- NLP for dialogue interpreting
- Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services)
## Emerging Areas in Translation and Interpreting
- MT and translation tools for literary texts and creative texts
- MT for social media and real-time conversations
- Sign language recognition and translation
## Subtitling
- NLP and MT for subtitling
- Latest technology for subtitling
## User needs
- Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology
- User requirements for interpreting and translation tools
- Incorporating human knowledge into translation and interpreting technology
- What existing translators’ (including subtitlers’) and interpreters’ tools do not offer
- User requirements for electronic resources for translators and interpreters
- Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed
## The business of translation and interpreting
- Translation workflow and management
- Technology adoption by translators and industry
- Setting up translation /interpreting / language provider company
## Teaching translation and interpreting
- Teaching Machine Translation
- Teaching translation technology
- Teaching interpreting technology
- Latest AI developments in the syllabi of translation and interpreting curricula
## Ethical issues in translation and technology
- Bias and fairness in MT
- Privacy and security in cloud MT systems
- Transparency and explainability of MT systems
- Environmental impact on MT systems
# Special Theme Track - Future of Translation Technology in the Era of LLMs and Generative AI
We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency.
The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
- Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMSs and Generative AI
- Generative AI and translation
- Generative AI and interpreting
- Augmenting machine translation systems with generative AI
- Domain and terminology adaptation with Large Language Models
- Literary translation with Large Language Models
- Improving Machine Translation Quality with Contextual Prompts in Large Language Models
- Prompt engineering for translation
- Generative AI for professional translation
- Generative AI for professional interpreting
# Keynote speakers
We are delighted to announce the NeTTT’2024 keynote speakers
- Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation
- Carla Parra Escartín (RWS Language Weaver)
# Tutorial (3 July 2024)
- Tharindu Ranasinghe (Aston University), Quality Estimation for Machine Translation
# Programme Committee
The Programme Committee of NeTTT’2024 is listed https://nettt-conference.com/26844-2/.
# Conference Chairs
- Ruslan Mitkov (Lancaster University)
- Gloria Corpas Pastor (University of Malaga)
# Programme Chairs
- Constantin Orasan (University of Surrey)
- Tharindu Ranasinghe (Aston University)
# Sponsorship Chair
- Vilelmini Sosoni (Ionian University)
# Publication Chair
- Maria Kunilovskaya (University of Saarland)
# Organising Committee
- Organising Committee of NeTTT’2024 is listed https://nettt-conference.com/organisers/
# Submissions and publication
NETTT’2024 invites the following types of submissions:
User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages.
Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required):
• (academic) full papers – describing original completed research. Allowed paper length: maximum 12 pages + unlimited references.
• (academic) work-in-progress papers/posters – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 7 pages + unlimited references.
• (academic) demo papers – describing working systems. Allowed paper length: maximum 5 pages + unlimited references. In addition to the papers, the authors will be expected to demonstrate the systems at the workshop.
The conference will not consider and evaluate abstracts only.
Each submission will be reviewed by three members of the Programme Committee. Submission is organised via Softconf START conference management system at https://softconf.com/n/nettt2024.
For submitting the papers, we invite the authors to comply with the Springer format, following the templates:
• LaTeX: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…,
• Overleaf: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…,
• Word: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192387….
The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers.
The final version of the accepted papers will be published in e-proceedings with assigned ISBN and DOI.
All accepted papers will be included in the conference e-proceedings which will be available at the conference website.
# Schedule
- Submission deadline: 31 March 2024
- Notification: 5 June 2024
- Final version due: 20 June 2024
All deadlines are valid for 23.59 Anywhere on Earth.
# Registration
Conference registration is open on https://nettt-conference.com/fees-registration/
The promotional early registration fee has been extended to 17 March 2024.
# Venue
The conference will take place at https://www.chernomorebg.com/en/conference-centre.html, Varna, situated only 200 m away from the fine sandy Black Sea beach.
# Further information and contact details
The conference website is https://nettt-conference.com and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com
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Prof Constantin Orăsan
Professor of Language and Translation Technologies
https://www.surrey.ac.uk/centre-translation-studies | https://www.surrey.ac.uk/school-literature-languages
Personal page: https://dinel.org.uk
Office: 06LC03, Phone: +44 (0) 1483 68 4115
Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK
We are delighted to invite you to #ICNLSP 2024, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024.
The conference will be hybrid (it can be attended in-person and online).
ICNLSP 2024 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing researches in the field.
Authors are invited to present their work relevant to the topics of the conference - listed below - but not limited to:
-Signal processing, acoustic modeling.-Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.).-Speech Analysis.-Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.).-Spoken Dialog Systems and Conversational Analysis-Speech Translation.-Speech synthesis.-Speaker verification and identification.-Language identification-Speech coding.-Speech enhancement-Speech intelligibility-Speech Perception-Speech Production-Brain studies on speech-Phonetics, phonology and prosody.-Speech and hearing disorders.-Paralinguistics of pathological speech and language.-Speech technology for disordered speech/hairing.-Cognition and natural language processing.-Machine translation.-Text categorization.-Summarization.-Sentiment analysis and opinion mining.-Computational Social Web.-Arabic dialects processing.-Under-resourced languages: tools and corpora.-Large language models.-Arabic OCR.-NLP tools for software requirements and engineering.-Knowledge fundamentals.-Knowledge management systems.-Information extraction.-Data mining and information retrieval.-Lexical semantics and knowledge representation.-Requirements engineering and NLP.-NLP for Arabic heritage documents.
**PUBLICATION**1- All accepted papers will be published in ACL Anthology.2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH.
**Keynote speakers**TBA
**CONTACT**icnlsp(at)gmail(dot)com
https://www.icnlsp.org/2024welcome/