***Apologies for possible cross-posting ***
First Call for Papers
5th International Workshop on Computational Approaches to Historical
Language Change 2023 (LChange’24)
We are happy to announce that we will organize a full-day workshop co-located
with the ACL conference on Aug 15, 2024 in Bangkok and online. We hope to
make this fifth edition another resounding success!
Website: https://www.changeiskey.org/event/2024-acl-lchange/
Contact email: lchange(a)changeiskey.org
Workshop description
The LChange workshop targets all aspects of computational modeling of
language change, historics as well as synchronic change. It is running in
its fifth iteration following successful workshops in (2019
<https://languagechange.org/events/2019-acl-lcworkshop/>, 2021
<https://languagechange.org/events/2021-acl-lcworkshop/>, 2022
<https://languagechange.org/events/2022-acl-lchange/>, 2023
<https://languagechange.org/events/2023-emnlp-lchange/>) and will be
co-located with ACL 2024 in Bangkok (Thailand), as a hybrid event. The
workshop will take place on Thursday 15 August 2024.
The main topics of the workshop remain the same: all aspects around
computational approaches to language change with a focus on digital text
corpora. LChange explores state-of-the-art computational methodologies,
theories and digital text resources on exploring the time-varying nature of
human language.
The aim of this workshop is to provide pioneering researchers who work on
computational methods, evaluation, and large-scale modeling of language
change an outlet for disseminating research on topics concerning language
change. Besides these goals, this workshop will also support discussion on
evaluating computational methodologies for uncovering language change.
We’ll also be offering mentorship to students, to discuss their research
topic with a member of the field, regardless of whether they are submitting
a paper or not.
Important Dates (tentative)
* May 10, 2024: Paper submission
* June 20, 2024: Notification of acceptance
* June 30, 2024: Camera-ready papers due
* August 15, 2024: Workshop date
Submissions
We accept two types of submissions, long and short papers, consisting of up
to eight (8) and four (4) pages of content, respectively, plus unlimited
references; final versions will be given one additional page of content so
that reviewers' comments can be taken into account.
We also welcome papers focusing on releasing a dataset or a model; these
papers fall into the short paper category.
We invite original research papers from a wide range of topics, including
but not limited to:
-
Novel methods for detecting diachronic semantic change and lexical
replacement
-
Automatic discovery and quantitative evaluation of laws of language
change
-
Computational theories and generative models of language change
-
Sense-aware (semantic) change analysis
-
Diachronic word sense disambiguation
-
Novel methods for diachronic analysis of low-resource languages
-
Novel methods for diachronic linguistic data visualization
-
Novel applications and implications of language change detection
-
Quantification of sociocultural influences on language change
-
Cross-linguistic, phylogenetic, and developmental approaches to language
change
-
Novel datasets for cross-linguistic and diachronic analyses of language
Accepted papers will be presented orally or as posters and included in the
workshop proceedings. Submissions are open to all and are to be submitted
anonymously. All papers will be refereed through a double-blind peer review
process by at least three reviewers with final acceptance decisions made by
the workshop organizers. If you have published in the field previously, and
are interested in helping out in the program committee to review papers,
please send us an email!
Keynote Talks
To be announced. If you have any good suggestions, or anyone you would like
to listen to, please contact us.
Workshop organizers
Nina Tahmasebi, University of Gothenburg
Syrielle Montariol, École polytechnique fédérale de Lausanne
Andrey Kutuzov, University of Oslo
Simon Hengchen, University of Gothenburg
David Alfter, University of Gothenburg
Francesco Periti, University of Milan
Pierluigi Cassotti, University of Bari Aldo Moro
*Call for Expression of Interest for Associate Professor or Tenure Track
Assistant Professor coming from outside of Italy*
*Computational Linguistics Principal Investigator, University of Trento,
Center for Mind-Brain Sciences (CIMeC), CIMeC Language, Interaction and
Computation (CLIC) lab, Trento, Italy*
The Center for Mind/Brain Sciences (CIMeC) at the University of Trento,
Italy, invites expressions of interest from highly motivated scholars with
the view to open a principal investigator position at the level of
Associate Professor or Tenure Track Assistant Professor (in the latter
case, if after 3 years the tenure track AP has obtained the Italian
Scientific Habilitation for Associate Professor, they will be evaluated to
obtain the Associate Professor Position at CIMeC).
Applicants are expected to have had a 3-year position abroad at the time
and level they apply to.
*Research Profile*
The ideal candidate for the assistant professor position works in
computational linguistics or cognitive science and has a strong track
record in at least one of these fields. Preference will be given to
candidates with a good knowledge of theoretical linguistics and the ability
to carry out experimental work involving human subjects. In addition,
associate professor candidates should demonstrate the ability to attract
external funding, lead a research team, and have good connections to the
international community. All candidates, regardless of their level of
seniority, will be expected to participate in the administrative life of
CIMeC and should show a willingness to work in a team. All should also
demonstrate enthusiasm for teaching and supporting students throughout
their academic training.
The successful candidate will work in the CIMeC Language, Interaction, and
Computation Lab (CLIC:
https://www.cimec.unitn.it/en/71/language-interaction-and-computation-labor…)
at the Center for Mind-Brain Sciences (CIMeC: http://web.unitn.it/en/cimec).
They are expected to be interested in interacting with the rest of the
CIMeC faculty on general cognitive neurosciences issues and help develop
cutting-edge research at the intersection between computational
linguistics, theoretical linguistics, and general cognition and
neuroscience. Knowledge of Italian is appreciated but not required.
The University of Trento particularly welcomes EoI from female candidates
and underrepresented minorities.
*Teaching*
The candidate will be required to contribute to the Center’s overall goal
of delivering high-quality teaching in English at the BSc, MSc, and PhD
levels.
Tenure Track Assistant Professors are expected to teach 90 hrs/year, while
duties for Associate and Full professors are 120 hrs/year. The position
holder will have a personal grant for research/travel expenses. The
research group will negotiate the possibility of supervising PhD students
fully funded by the University.
*Other terms and Conditions*
Income will depend on the candidate's career stage; the candidate will
benefit from tax breaks for the first years.
*UniTN and CIMeC*
The University of Trento has systematically ranked in Italy's top-tier
positions in the past 10 years in both national Research Assessment
Evaluations (RAE) and University Surveys. In the latest RAE, the University
of Trento ranks 1st among medium universities. The CIMeC's goal is to
foster cutting-edge research on cognition and its neural underpinnings and
to support the dissemination of these findings internationally and within
the local community. As an interdisciplinary research and teaching center,
it draws on faculty from several departments, including Psychology and
Cognitive Science, Biology, Physics, Mathematics, Information Engineering,
and Computer Science. Its faculty originates from Italy, Germany, The
Netherlands, Poland, New Zealand, Belgium, the USA, the UK, Argentina,
Israel and beyond.
In the last 5 years, CIMeC PIs have won many competitive national and
international grants, including several European Research Council (ERC)
grants, other European Framework grants, and highly competitive grants
awarded by the local province. The center has been recognized as Italy's
leading cognitive neuroscience research department. It is part of the
Erasmus Mundus European Master Program in Language and Communication
Technologies.
Expressions of interest in English should include a brief motivation letter
and should be addressed to:
Prof. Yuri Bozzi
Director of the Center for Mind-Brain Sciences
Corso Bettini 31, 38068 Rovereto Italy
Expressions of interest sent by email are welcomed and should be sent to
cimec.clic-lab(a)unitn.it
Expression of interest should be sent *****by the 1st of February, 2024*****
==============================================================
University of Trento
CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN),
DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN)
Tel. +39 0464 80 8704 (CIMeC)
http://disi.unitn.it/~bernardi/
==============================================================
Dear all,
We are extending the regular paper submission deadline of the workshop CASE
2024 @ EACL to Jan 4, 2024 (AoE) [1].
Please pay attention to the shared tasks organized in the scope of CASE
2024. The new ones are:
*1- Climate Activism Stance and Hate Event Detection Shared Task at CASE
2024*
Hate speech detection and stance detection are some of the most important
aspects of event identification during climate change activism events. In
the case of hate speech detection, the event is the occurrence of hate
speech, the entity is the target of the hate speech, and the relationship
is the connection between the two. The hate speech event has targets to
which hate is directed. Identification of targets is an important task
within hate speech event detection. Additionally, stance event detection is
an important part of assessing the dynamics of protests and activisms for
climate change. This helps to understand whether the activist movements and
protests are being supported or opposed. This task will have three subtasks
(i) Hate speech identification (ii) Targets of Hate Speech Identification
(iii) Stance Detection.
Codalab Link: https://codalab.lisn.upsaclay.fr/competitions/16206
Registration: In order to register for the shared task, please send a
request in codalab. The organizers will approve requests on a daily basis.
GitHub Page: https://github.com/therealthapa/case2024-climate
*2- Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) (7k
Euros total award)*
Hate speech, which targets groups based on characteristics such as
ethnicity, nationality, religion, colour, gender, and sexual orientation,
is a significant problem on social media platforms. Automated detection of
such content is crucial for effective content moderation and minimising
societal harm, and can also be used in socio-political event analysis.
Following the SIU2023-NST competition organized to benchmark progress in
Turkish hate speech detection and classification, we are organizing a new
shared task in conjunction with CASE @ EACL 2024. This shared task focuses
on tackling the challenge of identifying hate speech in tweets in Turkish
and Arabic languages. The task is divided into two subtasks: A) Hate Speech
Detection in Turkish across Various Contexts; B) Hate Speech Detection with
Limited Data in Arabic
More details can be found at:
https://github.com/boun-tabi/case-2024-hsd-2lang/
Please check the website for detailed information and contact us for
anything you think we can help.
Best wishes,
Ali
[1] https://emw.ku.edu.tr/case-2024/, The 7th Workshop on Challenges and
Applications of Automated Extraction of Socio-political Events from Text
The 4th Workshop on NLP for Indigenous Languages of the Americas
(AmericasNLP 2024)
First Call for Papers
The 4th Workshop on NLP for Indigenous Languages of the Americas
(AmericasNLP) will be co-located with the 2024 Annual Conference of the
North American Chapter of the Association for Computational Linguistics (NAACL
2024 <https://2024.naacl.org/>), which is scheduled to be held in Mexico
City, Mexico, between June 16-21, 2024.
The goal of the workshop is to encourage and increase the visibility of
work on the Indigenous languages of the Americas. It aims to encourage
research on NLP, computational linguistics, corpus linguistics and speech
for Indigenous languages, to connect researchers and professionals from
underrepresented communities and native speakers of endangered languages
with the ACL community, and, more generally, to promote machine learning
approaches suitable for low-resource languages.
We invite the submission of
-
Long papers (8 pages) and short papers (4 pages) on substantial,
original, and unpublished research
-
Non-archival extended abstracts (2 pages), technical reports (8 pages),
and work which has been presented at other venues (in the format of the
original publication)
Submissions do not need to describe work on native languages directly, as
long as it is clear why those can benefit from the described approaches.
Areas of interest include but are not limited to:
-
Creation of datasets for NLP applications
-
Incorporation of external knowledge into neural systems
-
Linguistic typology and the use of typological features for NLP
-
Transfer learning, meta-learning, and active learning
-
Weakly supervised, semi-supervised, and unsupervised learning
-
Machine translation of low-resource languages
-
Morphology and phonology of low-resource languages
-
NLP applications for Indigenous languages of the Americas
Important dates:
-
Start of the anonymity period: February 10, 2024
-
Submission deadline: March 10, 2024
-
Notification of acceptance: April 14, 2024
-
Camera ready papers due: April 24, 2024
-
Workshop: June 20 or 21, 2024
All deadlines are 11.59 pm UTC -12h (anywhere on earth).
Link to submission portal:
https://softconf.com/naacl2024/americasnlp
The workshop also includes:
-
A machine translation shared task on truly low-resource languages
-
A shared task on morphological adaptation to generate educational
examples
We also have a diverse set of invited speakers, focused on bridging the gap
between linguists, NLP, and machine learning research!
-
Graham Neubig (multilingual NLP and ML research)
-
Jaime Pérez González (linguistics research on critically endangered
South American languages; field linguistics)
Organizing Committee
-
Manuel Mager, AWS AI Labs
-
Abteen Ebrahimi, University of Colorado Boulder
-
Shruti Rijhwani, Google DeepMind
-
Arturo Oncevay, JP Morgan AI Research
-
Luis Chiruzzo, Universidad de la República, Uruguay
-
Robert Pugh, Indiana University, Bloomington
-
Katharina von der Wense, University of Colorado Boulder and Johannes
Gutenberg University Mainz
More information and contact information can be found at
http://turing.iimas.unam.mx/americasnlp/.
The Natural Language Processing Section at the Department of Computer Science at University of Copenhagen is advertising an 18 month position for a Postdoctoral Researcher in Natural Language Processing. The position is funded by the European Union Horizon Europe project to Democratize Trustworthy and Efficient Large Language Model Technology for Europe. The overall goal of the project is to develop European large language models (LLMs) on an unprecedented scale, trained on the largest amount of text so far in European AI, covering a range of underrepresented languages, and pushing the limits of European exascale computing. The successful candidate will join a team developing hybrid token-pixel language models and retrieval-augmented language models. The project team includes a consortium of researchers across Europe, and, locally, the co-investigator, a postdoctoral researcher, and one Ph.D student. Further information about the project is available at https://cordis.europa.eu/project/id/101135671.
The successful candidate will join the Language and Multimodal Processing group, which is part of a section with a strong, international, and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about the group is available here: https://lampgroup.github.io/ and further information about research at the Department is available here: https://di.ku.dk/english/research/.
The application deadline is 31 January 2024, with a start date of 1 April 2024, or as soon as possible thereafter. Further information about the position can be found here: https://employment.ku.dk/faculty/?show=160726
Informal enquiries about the positions can be made to the co-investigator Desmond Elliott, Department of Computer Science, University of Copenhagen, e-mail: de(a)di.ku.dk.
9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024)
CALL FOR PAPERS
Deadline for abstract submission: Friday 15 March 2024
The symposium will take place online on Friday 5 and Saturday 6 July 2024.
LxGr primarily welcomes papers reporting on corpus-based research on any aspect of the interaction of lexis and grammar - particularly studies that interrogate the system lexicogrammatically to get lexicogrammatical answers. However, position papers discussing theoretical or methodological issues are also welcome, as long as they are relevant to both lexicogrammar and corpus linguistics.
If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. Make sure that the abstract clearly specifies the research focus (research questions or hypotheses), the corpus, the methodology (techniques and metrics), the theoretical orientation, and the main findings. Abstracts will be double-blind reviewed, and decisions will be communicated within four weeks.
Full papers will be allocated 35 minutes (including 10 minutes for discussion).
Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion).
There will be no parallel sessions.
Participation is free.
For details, visit the LxGr website: https://sites.edgehill.ac.uk/lxgr/lxgr2024
If you have any questions, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>.
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
________________________________
This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
We are seeking an enthusiastic PhD candidate to work in multimodal NLP for model-based systems engineering.
Details
This project is funded by the EPSRC iCASE (sponsored by BAE Systems) to conduct research in the area of multimodal natural language processing (NLP) for model-based systems engineering based on Large Language Models (LLMs). LLMs have demonstrated a remarkable ability to generate text when presented with images, text, audio and video as input. They are able to achieve higher performance than traditional neural methods and pre-trained language models, without the need for supervised training.
The project will examine different approaches to multimodal LLM-based NLP to address complex and fine-grained tasks such as reasoning in model-based systems engineering. The PhD will delve into LLM architectures, data augmentation methods, multi-task and domain-specific LLMs, prompting engineering and interpretability.
The candidate will have the opportunity to work with experts at BAE to gain experience in the practical application of model-based systems engineering. The candidate will join the world-class teams of Prof. S. Ananiadou (Computer Science and National Centre for Text Mining, Natural Language Processing, LLMs) and Prof. H. Yin (Electrical and Electronic Engineering, Deep Learning, Computer Vision).
Requirements
You will have a very good undergraduate degree in Computer Science (minimum 2:1 UK or equivalent for EU students). Experience and knowledge of NLP, multimodal LLMs, Ontologies, Semantic Web, Computer Aided Engineering (CAE) and Model-Based Systems Engineering (MBSE) tools and technology will be considered as an advantage.
The successful candidate must be capable of obtaining UK security clearance to fulfil any onsite industrial placement at the location of the host site.
Research Environment in Host Institution
The Department of Computer Science at the University of Manchester (UoM) is in the unique position of hosting the National Centre for Text Mining (NaCTeM), the first publicly funded centre for text mining in the world, focusing on fundamental research in Natural Language Processing (LLMs, interpretability, information extraction) in a variety of domains. Besides NaCTeM, academic expertise in AI is spread across a number of other institutes including the Institute for Data Science and AI (IDSAI), the Centre for AI Fundamentals and partnerships with the Alan Turing Institute and the European Laboratory for Learning and Intelligent Systems (ELLIS).
BAE Systems
BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions. They employ a skilled workforce of more than 93,000 people in around 40 countries. Working with customers and local partners, they develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.
Before you apply
We strongly recommend that you contact the supervisors of this project prior to application.
How to apply
To be considered for this project, you will need to complete a formal application through our online application portal<https://www.findaphd.com/common/clickCount.aspx?theid=167305&type=199&DID=1…> by the 26th of January 2024.
When applying, you will need to specify the full name of this project, the name of your supervisor, how you are planning to fund your research, details of your previous studies, and the names and contact details of two referees.
Please also send the following to Prof. Sophia Ananiadou (Sophia.ananiadou(a)manchester.ac.uk<mailto:Sophia.ananiadou@manchester.ac.uk>) and Prof. Hujun Yin (hujun.yin(a)manchester.ac.uk<mailto:hujun.yin@manchester.ac.uk>):
* cover letter and full CV
* Full degree transcripts and relevant certificates
Candidates will be shortlisted by a panel comprising members of UoM and BAE Systems. Selected candidates will be invited to give a presentation followed by a formal interview. The interviews will be held during the week of 29th January 2024.
Your application will not be processed unless all of the required documents are submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions(a)manchester.ac.uk<mailto:FSE.doctoralacademy.admissions@manchester.ac.uk>.
Equality, diversity and inclusion<https://www.findaphd.com/common/clickCount.aspx?theid=167305&type=199&DID=1…> is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We will consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
Funding Notes
This project is funded through EPSRC iCASE (with BAE Systems). The project will pay the tuition fees and provide a tax free stipend set at the UKRI rate (£18,622). We are able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme. Additional research funds will be available.
----------
Professor Sophia Ananiadou
Department of Computer Science
Director, National Centre for Text Mining
Deputy Director, Institute for Data Science and Artificial Intelligence
Turing Fellow
The University of Manchester
(apologies for cross-posting)
The 9th Workshop on Linked Data in Linguistics: Resources, Applications,
Best Practices
Workshop colocated with *LREC-COLING 2024*,
*Date*: May 25, 2024
*Venue*: Torino, Italy and online
For up to date info, check: https://ldl2024.linguistic-lod.org/
Call for Papers
The Linked Data in Linguistics (LDL) workshop series has established itself
as the premier venue for discussing the application of Semantic Web
technologies to the fields of linguistics, digital lexicography, and
digital humanities (DH).
While recent years have witnessed a steady growth in adoption of the
technology in these areas, its uptake in other relevant domains, most
notably in the case of natural language processing (NLP), continues to lag
behind.
This year, aside from embracing the full bandwidth of applications of LLOD
technologies and the closely related area of knowledge graphs in
linguistics, we welcome contributions addressing the application of LLOD
technologies to NLP applications, as well as those dealing with emerging
hot topics of future bridges between structured (linguistic) knowledge and
neural methods.
In addition, this year’s edition of the workshop will be a venue for
in-depth discussions on community standards and best practices, and, above
all, those related to the work of the W3C community groups OntoLex
<https://www.w3.org/community/ontolex/> [1], LD4LT
<https://www.w3.org/community/ld4lt/> [2] and BPMLOD
<https://www.w3.org/community/bpmlod/> [3]. To this end, it will include
featured talks on the latest achievements, developments, and perspectives
of these W3C Community Groups.
[1] Ontology-Lexica Community Group
[2] Linked Data in Language Technology Community Group
[3] Best Practices in Multilingual Linked Open Data
* Topics of interest *
We invite presentations of algorithms, methodologies, experiments, tools,
use cases, descriptions of ongoing or planned research projects as well as
position papers that describe the creation, publication or application of
linked linguistic data collections and their linking with other resources.
Descriptions of such data, and in particular, its uses in research
(linguistics, lexicology, digital humanities) and technology (NLP,
e-lexicography, localization) are also welcome. The following is a
non-exhaustive list of relevant topics:
1. Building, managing and linking language resources
- Lexicons and Lexical Data, including Dictionaries and Lexicographic
Resources
- Annotations and Annotated Corpora
- Entity Linking
2. Technologies, challenges and best practices for language technology
and language resources on the web:
- Interoperability
- Sustainability
- FAIRness
3. Structured data in language technology:
- Knowledge Graphs
- Machine Learning
- Multilingual Technologies
- Language Knowledge Injection in LLMs
4. Show cases, case studies and applications by different communities of
practice:
- Multimodality
- Corpus Linguistics
- Lexicography
- Digital Humanities
5. Current directions and critical reflection. Position papers on:
- Ethical, legal, technological aspects of structured data in the age
of LLMs
- The role of LLOD in promoting low-resource languages
- Extensions of RDF and graph formalisms
We invite both long (8 pages and 2 pages of references) and short papers (4
pages and 2 pages of references) representing original research, innovative
approaches and resource descriptions. Short papers may also represent
project descriptions. These do not have to be implemented but discuss to
what extent and for which purposes Linguistic Linked Open Data is reused or
created. Projects that are still in their early stages and seek advice from
the broader Linguistic Linked Data community are welcome, especially if
they include underrepresented fields of study.
Papers should be formatted according to the LREC-COLING guidelines, please
see https://lrec-coling-2024.org/authors-kit/. Please note that the review
process will be *single-blind*.
* Identify, Describe and 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).
* Important Dates *
- Submission Date: February 23, 2024
- Notification of Acceptance: March 22, 2024
- Camera-Ready: April 5, 2024
- Workshop: May 25, 2024
* Workshop Organizers *
- Christian Chiarcos (University of Augsburg, Germany)
- Katerina Gkirtzou (Athena Research Center, Greece)
- Maxim Ionov (University of Cologne, Germany)
- Fahad Khan (Consiglio Nazionale delle Ricerche, Italy)
- John P. McCrae, (University of Galway, Ireland)
- Elena Montiel Ponsoda (Universidad Politécnica de Madrid, Spain)
- Patricia Martín Chozas (Universidad Politécnica de Madrid, Spain)
Please get in contact via ldl2024(a)linguistic-lod.org.
* Program Committee *
- Sina Ahmadi (George Mason University, USA)
- Verginica Barbu Mititelu (Research Institute for Artificial
Intelligence of the Romanian Academy, Romania)
- Paul Buitelaar (Insight, Ireland)
- Sara Carvalho (University of Aveiro, Portugal)
- Rute Costa (NOVA FCSH/NOVA CLUNL, Portugal)
- Milan Dojchinovski (Czech Technical University, Czech Republic)
- Agata Filipowska (Uniwersytet Ekonomiczny w Poznaniu, Poland)
- Francesca Frontini (CNR-ILC, Italy)
- Frances Gillis Webber (University of Cape Town, South Africa)
- Voula Giouli (Athena Research Center, Greece)
- Dagmar Gromann (University of Vienna, Austria)
- Yoshihiko Hayashi (Waseda University, Japan)
- Alik Kirillovich (Higher School of Economics, Russia)
- Penny Labropoulou (Athena Research Center, Greece)
- Chaya Liebeskind (Jerusalem College of Technology, Israel)
- David Lindemann (University of the Basque Country, Spain)
- Francesco Mambrini (Università Cattolica del Sacro Cuore, Italy)
- Monica Monachini (CNR-ILC, Italy)
- Diego Moussallem (Paderborn University, Germany)
- Roberto Navigli (“La Sapienza” Università di Roma, Italy)
- Petya Osenova (IICT-BAS, Bulgaria)
- Ana Ostroški Anić (Institute of Croatian Language and Linguistics,
Croatia)
- Giulia Pedonese (CNR-ILC, Italy)
- Sigita Rackevičienė (Mykolas Romeris University, Lithuania)
- Felix Sasaki (SAP, Germany)
- Andrea Schalley (Karlstad University, Sweden)
- Gilles Sérasset (University Grenoble Alpes, France)
- Milena Slavcheva (IICT-BAS, Bulgaria)
- Blerina Spahiu (Bicocca University, Italy)
- Ranka Stanković (University of Belgrade, Serbia)
- Armando Stellato (University of Rome, Italy)
- Federica Vezzani (University of Padua, Italy)
*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.