[Apologies for cross-posting]
== Second Call for Papers and Extended Abstracts ==
1st Workshop on Automatic Assessment of Atypical Speech (AAAS-2025)
We would like to invite you to submit papers to AAAS workshop co-located with NoDaLiDa/Baltic-HLT<https://www.nodalida-bhlt2025.eu> in Hestia Hotel Europa in Tallinn, Estonia on March 5th, 2025.
Workshop website: https://teflon.aalto.fi/aaas-2025/
== Important Dates ==
Submission DL: 16 December 2024 (both papers and abstracts)
Notification of acceptance: 24 January 2025
Camera-ready DL: 3 February 2025
Workshop: 5 March 2025 (full day)
All deadlines are 11:55PM UTC-12:00 ("anywhere on Earth").
== Overview ==
Automatic Assessment of Atypical Speech (AAAS) explores the assessment of pronunciation and speaking skills of children, language learners, people with speech sound disorders and methods to provide automatic rating and feedback using automatic speech recognition (ASR) and large language models (LLMs). Automatic speaking assessment (ASA) is a rapidly growing field that answers to the need of developing AI tools for self-practising second and foreign language skills. This is not limited to pronunciation assessment, but the AI tools can also provide more complex feedback about fluency, vocabulary and grammar of the recorded speech. ASA is also very relevant for detection and quantification of speech disorders and for developing speech exercises that can be performed independent of time and place. The important applications of non-standard speech also include interfaces for children and elderly speakers as an alternative to using text input and output. The topic is timely, because the latest large speech models allow us now to develop ASR and classification methods for low-resourced data, such as atypical speech, where annotated training datasets are rarely available and expensive and difficult to produce and share. The goal of this workshop is to present the latest results in ASA and discuss the future work and collaboration between the researchers in Nordic and Baltic countries.
== Topics of Interest ==
In particular, we would like to invite students, researchers, and other experts and stakeholders to contribute papers and/or join the discussion on the following (and related) topics:
Automatic speaking assessment (ASA) for L2 (second or foreign language) pronunciation
ASA for spoken L2 proficiency
ASA for speech sound disorders (SSD)
Automatic speech recognition (ASR) for L2 learners
ASR for children and young L2 learners
ASA and ASR for Nordic and other low-resource languages and tasks
Spoken L2 learning and speech therapy using games
Automatic generation of verbal feedback for spoken L2 learners using LLMs
== Submission Details ==
We accept both short and long papers, as well as demo papers. The submissions must describe original and unpublished work.
Paper length:
Short and demo papers up to 4 pages.
Long papers up to 8 pages.
References are not included in the page count, and the camera-ready versions of accepted papers will be added to the page to address reviewer comments.
Papers should describe original unpublished work or work-in-progress and will be peer-reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be published in the ACL anthology. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word. The links to the templates can be found here:
https://drive.google.com/file/d/1osWGzuRnYRQGRS70Lx_pdQKrIT-NefKS/viewhttps://www.overleaf.com/latex/templates/instructions-for-nodalida-baltic-h…
The submission will be through EasyChair:
https://easychair.org/conferences/?conf=aaas2025
We also invite submissions of maximum 2-page long extended non-anonymous abstracts with any number of pages for references describing work in progress, negative results and opinion pieces. The abstracts, which should follow the same formatting templates as the peer-reviewed papers, will be considered for presentation by the workshop organisers and the accepted ones will be posted on the workshop website. The abstracts can be based on results related to our theme and already published elsewhere. The abstracts will not be published in the proceedings, but only in the workshop program.
Please also consider volunteering to review 2-3 papers.
== Invited Speakers ==
We have the pleasure to announce two invited speakers:
1. Nina R. Benway: What is so hard about AI Speech Therapy? Evidence from Efficacy Trials.
Nina R Benway, PhD CCC-SLP, is a Postdoctoral Fellow in Electrical and Computer Engineering with Dr. Carol Espy-Wilson. Nina completed her doctoral training in speech-language pathology (concentration: neuroscience) with Dr. Jonathan Preston at Syracuse University, focusing on clinical trials in children with chronic rhotic speech sound disorders. The three studies of her dissertation resulted in the curation of an open-access 175,000-utterance speech corpus, the engineering of audio classification algorithms predicting speech-language pathologist perception of rhotic speech errors, and the clinical trial validation of an artificial intelligence tool that fully automates a speech sound treatment session. Nina’s doctoral training builds upon her undergraduate training in linguistics (acoustic phonetics) at Cornell University, graduate clinical training at The College of Saint Rose, and six years of clinical practice. Through these experiences Nina has refined a multidisciplinary skill set in speech science, speech signal processing, natural language processing, corpus phonetics, machine learning/artificial intelligence (AI), user interface development, cognitive frameworks of learning, and neurocomputational frameworks of speech production.
2. Ari Huhta: Automatic assessment of second/foreign language speaking: Review of developments for examination and teaching/learning purposes.
Ari Huhta is a Professor of Language Assessment at the Centre for Applied Language Studies, University of Jyväskylä, Finland. His research interests include diagnostic foreign/second language (L2) assessment, computerised assessment, self-assessment, as well as the development of reading, writing and vocabulary knowledge in L2. He was involved in developing the large-scale multilingual DIALANG online assessment and feedback system in the early 2000s and since then he has specialised in assessments that support language learning. Although his research has focused on learning and assessing reading and writing, he has been involved in designing several rating scales for speaking and in evaluating rating quality and studying rater behavior. Recently, he has participated in research projects that are developing ASR and automated assessment of L2 speaking, as well as using LLMs to evaluate Finnish L2 learners’ proficiency level.
== Organizers ==
Mikko Kurimo (chair), Aalto University, mikko.kurimo(a)aalto.fi
Giampiero Salvi, NTNU
Sofia Strömbergsson, Karolinska Institutet
Sari Ylinen, Tampere University
Minna Lehtonen, University of Turku
Tamas Grosz, Aalto University
Ekaterina Voskoboinik, Aalto University
Yaroslav Getman, Aalto University
Nhan Phan, Aalto University
This workshop is supported by “Technology-enhanced foreign and second-language learning of Nordic languages (TEFLON)” https://teflon.aalto.fi/ NordForsk project nr. 103893.
== Contact Information ==
For questions and comments, please email mikko.kurimo(a)aalto.fi
Call for Papers: The 19th Linguistic Annotation Workshop (LAW-XIX)
We invite submissions for LAW-XIX, co-located with ACL 2025 in Vienna,
Austria, in July/Aug 2025.
The LAW-XIX will provide a forum for presentation and discussion of
innovative research on all aspects of linguistic annotation, including
creation/evaluation of annotation schemes, methods for automatic and
manual annotation, use and evaluation of annotation software and
frameworks, representation of linguistic data and annotations,
semi-supervised “human in the loop” methods of annotation,
crowd-sourcing approaches, and more.
Special Theme
The special theme of LAW-XIX is "*Subjectivity and variation in
linguistic annotations*". In addition to LAW's general topics, we
specifically invite submissions on:
* Subjectivity and human label variation in linguistic annotations
* Learning from annotation disagreements
* Detecting annotation noise in human label variation
* Accounting for subjectivity in label aggregation
* Ways to aggregate multiple annotators' labels beyond majority vote
* Any other topics related to the special theme.
Regarding subjectivity, we are particularly interested in work
addressing the*annotation of multidimensional constructs from the
political and social sciences* and encourage submissions on the
following topics:
* Theory-driven operationalization of complex political or
socio-psychological constructs,
* such as populism, moral values, or stereotypes Creation of
linguistically annotated datasets that capture such constructs
* Relation between theories and textual annotations
* Challenges for the measurement of multidimensional constructs from text
* Challenges for validating (a) theories, (b) annotations
* Implications and risks for manual annotation and automatic
prediction of socio-psychological constructs from text.
Important Dates
All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth.”
Workshop papers due (ARR Commitment) Mar 25, 2025
Workshop papers due (Direct Submission) April 04, 2025
Notification of acceptance May 16, 2025
Camera-ready papers due May 30, 2025
Workshop date July/Aug, 2025
Submissions
Please submit your paper here: https://softconf.com/acl2025/law2025
For more information on the workshop and submission formats, please
refer to the workshop homepage:
https://sigann.github.io/LAW-XIX-2025
If you have any questions, please feel free to contact the program
co-chairs at law2025workshop(a)gmail.com.
Workshop Organizers
Siyao (Logan) Peng (Program Co-Chair)
Ines Rehbein (Program Co-Chair)
Amir Zeldes (ACL SIGANN President)
--
Ines Rehbein
Data and Web Science Group
University of Mannheim, Germany
The eighth workshop on Universal Dependencies
Part of SyntaxFest 2025, Ljubljana, August 26-29
Call for Papers
Universal Dependencies (UD) is a framework for cross-linguistically
consistent treebank annotation that has so far been applied to over 150
languages (https://universaldependencies.org
<https://universaldependencies.org/>). The framework is aiming to
capture similarities as well as idiosyncrasies among typologically
different languages (e.g., morphologically rich languages, pro-drop
languages, and languages featuring clitic doubling). The goal in
developing UD was not only to support comparative evaluation and
cross-lingual learning but also to facilitate multilingual natural
language processing and enable comparative linguistic studies.
The Universal Dependencies Workshop series was started to create a forum
for discussion of the theory and practice of UD, its use in research and
development, and its future goals and challenges. Some of the previous
workshops have been co-located with Coling, EMNLP, and SyntaxFest. We
invite papers on all topics relevant to UD, including but not limited to:
*
Theoretical foundations and universal guidelines
*
Linguistic analysis of specific languages and/or constructions
*
Language typology and linguistic universals
*
Treebank annotation, conversion and validation
*
Word segmentation, morphological tagging and syntactic parsing
*
The use of the UD data for evaluating or understanding language models
*
Linguistic studies based on the UD data
Priority will be given to papers that adopt a cross-lingual perspective.
SyntaxFest 2025
https://syntaxfest.github.io/syntaxfest25/index.html
SyntaxFest is a biennial event that brings together a series of events
focusing on topics such as empirical syntax, linguistic annotation,
statistical language analysis, and natural language processing. Apart
from the 8th UDW, it hosts TLT, DepLing, IWPT, and Quasy. Each workshop
publishes its own proceedings, but all events follow a shared submission
process, timeline, and programme. The UniDive 1st Shared Task on
Morphosyntactic Parsing takes place on Aug, 26.
Important Dates
Paper submission DeadlineApril 15, 2025
Notification of acceptanceJune 2, 2025
Camera-ready version dueJune 16, 2025
Conference datesAugust 26-29, 2025
Submission Information
Submission site and paper requirements will be provided in the next CfP
Workshop Chairs
Gosse Bouma (University of Groningen) Cagri Coltekin (University of
Tübingen)
--
Gosse Bouma, Communication and Information Science, Groningen University, P.o. box 716, 9700 AS Groningen
G.Bouma(a)rug.nl tel. +31-50-3635937
(* apologies for cross-posting *)
Call for Participation TalentCLEF Shared Task (CLEF 2025)
Skill and Job Title Intelligence for Human Capital Management
https://talentclef.github.io/talentclef/
TalentCLEF is an initiative to advance Natural Language Processing (NLP) in
Human Capital Management (HCM). It aims to create a public benchmark for
model evaluation and promote collaboration to develop fair, multilingual,
and flexible systems that improve Human Resources (HR) practices across
different industries.
Key information:
-
Web: https://talentclef.github.io/talentclef/
-
Data: https://doi.org/10.5281/zenodo.14002665
-
Registration: https://clef2025-labs-registration.dei.unipd.it/
Motivation
In today’s rapidly changing socio-technological landscape, industries and
workplaces are transforming quickly. Technological advancements, such as
task automation and Artificial Intelligence (AI), are reshaping the labor
market by creating new roles that demand specialized skills, often
difficult to source. The rise of remote hiring, fueled by technological
innovation, has expanded the labor market to a global and multilingual
scale. Simultaneously, social progress is narrowing ethnic and gender
disparities within companies, fostering more inclusive workplaces.
Integrating Natural Language Processing (NLP) into Human Capital Management
(HCM) enhances key areas such as sourcing and hiring, onboarding and
training, strategic workforce planning, and career development. Despite
these benefits, challenges persist in managing multilingual information,
ensuring fair AI models, and developing systems flexible enough to work
across industries.
The TalentCLEF organizers expect that participation in the shared task will
contribute to establishing a public benchmark for multilingual job title
matching and skill prediction, enabling the evaluation and comparison of
different approaches. This initiative will also provide a foundation for
measuring gender bias in job-related NLP tasks and lay the groundwork for
future benchmarks in other areas of Human Capital Management, fostering
fairness, transparency, and adaptability in AI-driven workforce analysis.
The inaugural TalentCLEF shared-task aims to tackle these challenges
through two key tasks:
-
Task A - Multilingual Job Title Matching: Participants will develop
systems to identify and rank job titles most similar to a given one. For
each job title in a test set, systems must generate a ranked list of
similar titles from a predefined knowledge base. Evaluation will be
conducted in English, Spanish, German, and Chinese, covering both
monolingual and cross-lingual (between English and the other languages)
matching.
-
Task B - Job Title-Based Skill Prediction: This task focuses on
retrieving relevant skills associated with a given job title. Participants
will develop systems that predict and extract key skills based on job
titles. The evaluation will be conducted in English.
Schedule
-
20th January 2025 - Training data available for Tasks A and B
-
17th February 2025 – Start of Task A with the release of the development
data
-
17th March 2025 – Start of Task B with the release of the development
data
-
21st April 2025 – Test set release
-
21st April - 5th May 2025 – Evaluation period of Task A and B
-
7th May 2025 – Publication of Official Results
-
30th May 2025 – Submission of CLEF 2025 Participant Working Notes
(CEUR-WS)
-
27th June 2025 - Notification of Acceptance for Participant Papers
Publications and CLEF 2025 workshop
Teams participating in TalentCLEF will be invited to submit a system
description paper for the CLEF 2025 Working Notes proceedings, published on
CEUR-WS. Additionally, they will have the opportunity to present a brief
overview of their approach at the CLEF 2025 workshop, which will take place
in Madrid, Spain, from September 9th to 12th, 2025.
Main Organizers
-
Luis Gascó, Avature, Spain
-
Hermenegildo Fabregat, Avature, Spain
-
Laura García-Sardiña, Avature, Spain
-
Daniel Deniz Cerpa, Avature, Spain
-
Paula Estrella, Avature, Spain
-
Álvaro Rodrigo, Universidad Nacional de Educación a Distancia (UNED),
Spain
-
Rabih Zbib, Avature, Spain
Scientific Committee
-
Eneko Agirre - Full Professor of the University of the Basque Country
UPV/EHU - ACL Fellow
-
David Camacho - Full Professor of the Technical University of Madrid
(UPM)
-
Debora Nozza - Assistant Professor of Bocconi University
-
Jens-Joris Decorte - Lead AI Scientist at TechWolf
-
David Graus - Lead Data Scientist at Randstad Group
-
Mesutt Kayaa - Postdoctoral Researcher at Jobindex A/S and IT University
Copenhagen
-
Jan Luts - Senior Data Scientist at NTT Data & ESCO
-
Elena Montiel-Ponsoda - Professor at the Technical University of Madrid
(UPM) - AI4Labour project
-
Javier Huertas Tato - Assistant Professor of the Technical University of
Madrid (UPM)
-
Patricia Martín Chozas - Postdoctoral Researcher at the Ontology
Engineering Group (UPM) - AI4Labour project
*** Third Call for Papers – DEADLINES UPDATED ***
We invite paper submissions to the 9th Workshop on Online Abuse and Harms (WOAH), which will take place on July 31/August 1 at ACL 2025.
Website: https://www.workshopononlineabuse.com/cfp.html
Important Dates
* Submission due: April 18, 2025
* ARR reviewed submission due: May 20, 2025
* Notification of acceptance: May 30, 2025
* Camera-ready papers due: June 13, 2025
* Workshop: July 31st - August 1st, 2025
Overview
Digital technologies have brought significant benefits to society, transforming how people connect, communicate, and interact. However, these same technologies have also enabled the widespread dissemination and amplification of abusive and harmful content, such as hate speech, harassment, and misinformation. Given the sheer volume of content shared online, addressing abuse and harm at scale requires the use of computational tools. Yet, detecting and moderating online abuse remains a complex task, fraught with technical, social, legal, and ethical challenges.
The 9th Workshop on Online Abuse and Harms (WOAH) invites paper submissions from a diverse range of fields, including but not limited to natural language processing, machine learning, computational social science, law, political science, psychology, sociology, and cultural studies. We explicitly encourage interdisciplinary research, technical and non-technical contributions, and submissions that focus on under-resourced languages. Non-archival papers and civil society reports are also welcome.
Topics covered by WOAH include, but are not limited to:
* New models or methods for detecting abusive and harmful online content, including misinformation;
* Biases and limitations in existing detection models or datasets for abusive and harmful content, especially those in commercial use;
* Development of new datasets and taxonomies for online abuse and harms;
* Novel evaluation metrics and procedures for detecting harmful content;
* Analyses of the dynamics of online abuse, its propagation, and its impact on different communities;
* Social, legal, and ethical considerations in detecting, monitoring, and moderating online abuse.
Special Theme: Harms Beyond Hate Speech
In its 9th edition, WOAH highlights the theme Harms Beyond Hate Speech. We aim to expand the conversation beyond conventional definitions of harmful content by exploring the nuanced ways online harms manifest—such as technologically mediated inauthentic behavior, the power of technologies to reshape perceptions and opinions, and their potential to incite discrimination, hostility, violence, or even genocide. Additionally, we emphasize the diverse targets affected by such harms and the unique considerations computational interventions demand.
To facilitate this exploration, we invite NLP researchers, social scientists, cultural scholars, and practitioners to engage with key issues, including child sexual abuse material, radicalization, misinformation, platform policies, security, and the politics of computational approaches. By fostering interdisciplinary collaboration, our goal is to deepen understanding of these complex phenomena and advance effective, ethical solutions
Submission
Submission is electronic, using the Softconf START conference management system.
Submission link: https://softconf.com/acl2025/woah2025/
The workshop will accept three types of papers:
1) Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted.
2) Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere.
3) Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere.
All submissions must use the official ACL style files<https://github.com/acl-org/acl-style-files>. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submissions should adhere to the workshop policies https://www.workshopononlineabuse.com/policies.html.
WOAH Community
We are excited to share the WOAH community Slack channel — a workspace for researchers interested in or working on understanding and addressing online abuse and harms!
Join us here: https://join.slack.com/t/hatespeechdet-47d7560/shared_invite/zt-2a8d96j4z-g…
Contact Info
Please send any questions about the workshop to organizers(a)workshopononlineabuse.com<mailto:organizers@workshopononlineabuse.com>
Organisers
Agostina Calabrese, University of Edinburgh
Christine de Kock, University of Melbourne
Debora Nozza, Bocconi University
Flor Miriam Plaza-del-Arco, Bocconi University
Zeerak Talat, University of Edinburgh
Francielle Vargas, University of São Paulo
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
The Research Training Group 2853 “Neuroexplicit Models of Language,
Vision, and Action” is looking for
*up to 8 PhD Students - Fall 2025*
Neuroexplicit models combine neural and human-interpretable (“explicit”)
models in order to overcome the limitations that each model class has
separately. They include neurosymbolic models, which combine neural and
symbolic models, but also e.g. combinations of neural and physics-based
models. In the RTG, we will improve the state of the art in natural
language processing (“Language”), computer vision (“Vision”), and
planning and reinforcement learning (“Action”). We also develop novel
machine learning techniques for neuroexplicit models (“Foundations”).
Our overarching aim is to contribute to a better understanding of the
cross-cutting design principles of effective neuroexplicit models
through interdisciplinary collaboration.
The RTG is scheduled to grow to a total of *24 PhD students* by 2025. An
excellent and international group of twelve PhD students and one postdoc
have already joined the RTG. Through the inclusion of ~20 associated PhD
students and postdocs funded from other sources, it will be one of the
largest research centers on neuroexplicit or neurosymbolic models in the
world.
The RTG brings together researchers at Saarland University, the Max
Planck Institute for Informatics, the Max Planck Institute for Software
Systems, the CISPA Helmholtz Center for Information Security, and the
German Research Center for Artificial Intelligence (DFKI). All of these
institutions are collocated on the same campus in Saarbrücken, Germany.
The positions will be *funded for four years* at the TV-L E13 100% pay
scale. They are intended to start in September 2025. You should have or
be about to complete an MSc degree in computer science or a related
field and have demonstrated expertise in one of the research areas of
the RTG, e.g. through an excellent Master’s thesis or relevant publications.
The RTG is part of the Saarland Informatics Campus, one of the *leading
centers for research* in computer science, artificial intelligence, and
natural language processing in Europe. The Saarland Informatics Campus
brings together 900 researchers and 2500 students from 81 countries. The
CISPA Helmholtz Center, located on the same campus, is home to an
additional 350 researchers and on track to grow to 800 by 2026.
Researchers at SIC and CISPA are part of the ELLIS network and have been
awarded more than 40 ERC grants.
Each PhD student in the RTG will be *jointly supervised by two PhD
advisors* from the list of Principal Investigators below. Each student
will freely define their own research topic; we encourage the choice of
topics that cross the traditional boundaries of research fields.
Students may be affiliated with Saarland University or with one of the
participating institutes.
Vera Demberg, Saarland University - Computational Linguistics
Jörg Hoffmann, Saarland University - AI Planning
Dietrich Klakow, Saarland University - Natural Language Processing
Alexander Koller, Saarland University - Computational Linguistics
Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning
Philipp Slusallek, DFKI and Saarland University - Computer Graphics,
Artificial Intelligence
Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning
Mariya Toneva, MPI for Software Systems - Computational Neuroscience,
Machine Learning
Isabel Valera, Saarland University - Machine Learning
Jilles Vreeken, CISPA - Machine Learning, Causality
Joachim Weickert, Saarland University - Mathematical Data Analysis
Verena Wolf, DFKI and Saarland University - Modeling and Simulation,
Reinforcement Learning
Ellie Pavlick, Brown University and Google AI, will join us regularly as
a Mercator Fellow.
Please send your application by *24th March 2024* to
apply(a)neuroexplicit.org and include the reference number W2616. We aim
to conduct job interviews in April-May 2025.
For more details on the position, including what materials to submit
with your application, please see our website:
<https://www.neuroexplicit.org/jobs/#phd-2023>https://www.neuroexplicit.org/jobs/
Dear colleagues,
registration is now open for our upcoming workshop on "Large Language
Models (LLMs) in the History, Philosophy, and Sociology of Science (HPSS)"!
The workshop will focus on exploring use cases and proposals for how, and
to what extent, LLMs might help overcome long-standing challenges in
studies of how science works. The event will take place from April 2–4,
2025, at Technische Universität Berlin, Germany. The event will open at
around 1:30 PM on April 2 and end at around 5 PM on April 4. Further
information is available at
https://www.tu.berlin/hps-mod-sci/workshop-llms-for-hpss
Register here:
https://events.tu-berlin.de/en/events/0194f579-606f-75e9-9be9-c2167c356171/…
Early registration is greatly appreciated as it will help us with further
planning. The deadline for registration is March 28, 2025 but we will also
try to accommodate “walk-ins”.
Please don’t hesitate to reach out in case you need more information.
Kind regards,
The organizers
**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ****
------------------------------------------------------------------------
Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by the HiTZ Chair of AI< (https://hitz.eus).
You can view the videos of previous webinars and the schedule for
upcoming webinars here: http://www.hitz.eus/webinars
Next webinar:
*Speaker:* Christian Herff (Maastricht University)
*Title:* Speech neuroprostheses based on intracranial EEG
*Date: * Thursday, March 6, 2025 - 15:00 CET
*Summary:* Speech is our most natural way of communication and the loss
of the ability to speak is therefore devastating to patients. A speech
neuroprostheses that directly reconstructs speech processes from neural
activity could provide a new means of communications to these severely
affected patients. In this presentation, I will present some approaches
to reconstruct different representations of speech from intracranial
recordings and highlight how they can be used to build a speech
neuroprosthesis. The decoding of speech processes is particularly
challenging, as not only the neural, but also the target signal has
complex, nonlinear dynamics. I will stress the use of interpretable
machine learning models for this task to ensure that meaningful activity
is decoded and scientific insights might be generated as a side product.
*Bio:* Dr. Christian Herff is an assistant professor in the School for
Mental Health and Neuroscience at Maastricht University where he leads
the invasive BCI research line. His research interest lays in the
application of machine learning technology to neurophysiological data
for Brain-Computer Interfaces and neuroscience research. With a
particular focus on the decoding of speech processes from intracranial
data, he tries to improve the lives of severely paralyzed patients while
simultaneously improving our understanding of complex higher order
cognition. He emphasizes the ability to achieve interpretable results
based on computational models. In particular, visualization of complex
dynamic models, such as deep neural networks, is of interest to him.
*
Upcoming webinars:*
· Emanuele Bugliarello (Thursday, April 3, 2025)
· André F. T. Martins (Thursday, May 8, 2025)
· Mirella Lapata (Thursday, June 5, 2025)
If you are interested in participating, please complete this
registration form: http://www.hitz.eus/webinar_izenematea
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
HiTZ Zentroa
P.S: HiTZ will not grant any type of certificate for attendance at these
webinars.
(apologies for cross-posting)
Dear colleague,
We invite you to participate in the 2025 edition of the CheckThat! Lab at
CLEF 2025. This year, we feature four tasks ---one follow-up and three
new--- that correspond to important components within and around the full
fact-checking pipeline in multiple languages:
Task 1 Subjectivity in news articles. to spot text that should be processed
with specific strategies; benefiting the fact-checking pipeline. Available
in Arabic, English, Bulgarian, German, Italian, and Multilingual.
Task 2 Claim Normalization. to simplify the primary claim made in the
social media post into a concise form. This task is offered in 20
languages: English, Arabic, Bengali, Czech, German, Greek, French, Hindi,
Korean, Marathi, Indonesian, Dutch, Punjabi, Polish, Portuguese, Romanian,
Spanish, Tamil, Telugu, Thai.
Task 3 Fact-Checking Numerical Claims. to verify claims with numerical
quantities and temporal expressions. Available in Arabic, English and
Spanish.
Task 4 Scientific Web Discourse Processing (SciWeb). to (a) classify
different forms of science-related online discourse and (b) retrieve the
scientific paper that serves as the source for the claim from a given pool
of candidate scientific papers. Available in English.
Register and participate:
https://clef2025-labs-registration.dei.unipd.it/registrationForm.php
Further information: https://checkthat.gitlab.io/
Datasets: https://gitlab.com/checkthat_lab/clef2025-checkthat-lab
Important Dates
---------------------
- November 2024: Lab registration opens
- December 2024: Release of the training materials
- 25 April 2025: Lab registration closes
- 30 April 2025: Beginning of the evaluation cycle (test sets release)
- 10 May 2025 (23:59 AOE): End of the evaluation cycle (run submission)
- 30 May 2025: Deadline for the submission of working notes [CEUR-WS]
- 30 May – 27 June 2025: Review process of participant papers
- 9 June 2025: Submission of Condensed Lab Overviews [LNCS]
- 16 June 2025: Notification of Acceptance for Condensed Lab Overviews
[LNCS]
- 23 June 2025: Camera Ready Copy of Condensed Lab Overviews [LNCS] due
- 27 June 2025: Notification of Acceptance for Participant Papers [CEUR-WS]
- 7 July 2025: Camera Ready Copy of Participant Papers and Extended Lab
Overviews [CEUR-WS] due
- 21-25 July 2025: CEUR-WS Working Notes Preview for Checking by Authors
and Lab Organizers
- 9-12 September 2025: CLEF 2025 Conference in Madrid, Spain
Best regards,
The CLEF-2025 CheckThat! Lab Shared Task Organizers
Dear Corpora-List,
Please see below for a great postdoc position at Cornell on behalf of my
colleague.
*Opportunity: Postdoctoral Associate in Digital Humanities, Cornell
University*
Cornell University’s Critical Inquiry into Values, Imagination, and Culture
(CIVIC) initiative seek a *Postdoctoral Associate in Digital Humanities, *to
be based in the Department of Literatures in English at Cornell University
in Ithaca, New York. We especially welcome applications from scholars
engaging data-driven or computational methods in the humanities. The
postdoctoral associate will collaborate closely with faculty and librarians
as part of Cornell’s Digital Humanities CIVIC research fellows group
<https://url.usb.m.mimecastprotect.com/s/ZbsyCWWA5rT68LlqES6fRToRKqK?domain=…>
.
Learn more about the position and apply at this link
<https://url.usb.m.mimecastprotect.com/s/Q1l5CXYBgvf4ZPpKQHVhJTWBp2Z?domain=…>
by March 21, 2025. The appointment period will begin on July 1, 2025. The
pay range for this position is $61,008 - $87,000. Actual salary offers in
the College of Arts and Sciences will be based on education, experience,
discipline, and relevant skills.
*Questions can be directed to Lindsay Thomas (lthomas(a)cornell.edu
<lthomas(a)cornell.edu>), Associate Professor of Literatures in English. *
*Iliana Burgos* (she/her)
Emerging Data Practices Librarian
Digital Scholarship Services
<https://url.usb.m.mimecastprotect.com/s/MH0MCYVDjwfDXWGl7I9iLTx8K0M?domain=…>
Olin Library | Cornell University
Ithaca, New York 14853
--
Dr Heather Froehlich
w // http://hfroehli.ch
t // @heatherfro
*this email address is for mailing list subscriptions only and is not
monitored regularly.*