*CALL FOR PAPERS - Deadline Extension*
*Important dates*
*- Abstract submission deadline: May 27, 2025 (AoE) (NEW)*
- Notification of paper acceptance: July 4, 2025
- Camera-ready papers: July 14, 2025 (AoE)
- Conference dates: October 1-3, 2025
*Natural Language Processing, Text Mining and Applications (PLN-TEMA’25)
Track of EPIA’25*
PLN-TEMA’25 will be held at the 24th Portuguese Conference on Artificial
Intelligence (EPIA 2025) taking place in Universidade do Algarve, Faro,
Portugal, between October 1st-3rd 2025. This track is organized under the
auspices of the Portuguese Association for Artificial Intelligence (APPIA).
EPIA 2025 . URL https://epia2025.ualg.pt/
This announcement contains the following: [1] Track description; [2] Topics
of interest; [3] Important dates; [4] Paper submission; [5] Track fees; [6]
Organizing Committee; [7] Contacts.
[1] *Track Description*
The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2025)
is a forum for researchers working in Human Language Technologies, i.e.
Natural Language Processing (NLP), Computational Linguistics (CL), Natural
Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR),
and related areas.
The most natural form of sharing knowledge is indeed through textual
documents. Especially on the Web, a huge amount of textual information is
openly published every day, on many different topics and written in natural
language, thus offering new insights and many opportunities for innovative
applications of Human Language Technologies.
Following advances in general AI sub-fields such as NLP, Machine Learning
(ML) and Deep Learning (DL), text mining is now even more valuable as tool
for bridging the gap between language theories and effective use of natural
language contents, for harnessing the power of semi-structured and
unstructured data, and to enable important applications in real-world
heterogeneous environments. Both hidden and new knowledge can be discovered
by using NLP and Text Mining methods, at multiple levels and in multiple
dimensions, and often with high commercial value.
Authors are invited to submit their papers on any of the issues identified
in section [2]. Revision of the papers will be double-blind at least by
three members of the Program Committee. All accepted papers will be
published by Springer in a volume of Springer’s Lecture Notes in Artificial
Intelligence (LNAI) corresponding to the proceedings of the 24th EPIA
Conference on Artificial Intelligence, provided that at least one author is
registered in EPIA 2025 by the early registration deadline.
[2] *Topics of Interest*
Theories, Algorithms and Models
- Language and Cognitive Modeling
- Tagging, Chunking and Parsing
- Morphology and Word Segmentation
- Natural Language Generation
- Discourse and Pragmatics
- Semantics and Text Inference
- Language Resources: Acquisition and Usage. Lexical Knowledge
Acquisition
- Entailment and Paraphrases
- Entity Recognition and Word Sense Disambiguation
- Natural language understanding
- Language modeling
- Mathematical Properties of Language
- NLP for Low-Resource Languages
Text Mining and NLP Applications
- Text Clustering, Classification and Summarization
- Sentiment Analysis and Argument Mining
- Computational Social Science
- Multi-Word Units
- Machine Learning for NLP and Text Mining
- Spatio-Temporal and Big Text Mining
- Machine Translation and Cross-Lingual Approaches
- Algorithms and Data Structures for Text Mining
- Information Retrieval and Information Extraction
- Question-Answering and Dialogue Systems
- Text-Based Prediction and Forecasting
- Web Content Annotation
- Health/Biomedical/Legal and other Text Mining Applications
- Offensive Speech Detection and Analysis
[3] *Important dates*
- Abstract submission deadline: May 27, 2025 (New)
- Notification of paper acceptance: July 4, 2025
- Camera-ready papers: July 14, 2025 (AoE)
- Conference dates: October 1-3, 2025
[4] *Paper submission*
Submissions must be full technical papers on substantial, original, and
previously unpublished research. Papers should be prepared according to the
Springer LNAI format, using either a LaTeX or Word template, with a maximum
od 12 pages, including references. EPIA 2025 will not accept any paper
that, at the time of submission, is under review for, has already been
published in or has already been accepted for publication in a journal or
another venue with formally published proceedings. Authors of EPIA 2025
submissions are not permitted to submit their paper to a journal or another
venue during the EPIA 2025 review period.
It is the responsibility of the authors to remove names and affiliations
from the submitted papers, and to take reasonable care to assure anonymity
during the review process. Authors should also follow the standards as set
out in the Springer Nature code of conduct.
[5] *Track Fees:*
Track participants must register at the main EPIA 2025 conference.
[6] *Organizing Committee:*
Joaquim Silva, DI – FCT/UNL
Pablo Gamallo, CiTIUS, Universidade de Santiago de Compostela
Paulo Quaresma, DI – Uviversidade de Évora
Irene Rodrigues, DI – Uviversidade de Évora
Alípio Jorge, Dep. Ciência de Computadores, Fac. Ciências, Universidade do
Porto
[7] *Contacts:*
Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre, 2829‐516,
Caparica, Portugal. Tel: +351 21 294 8536 (ext. 10732) ‐ Fax: +351 21 294
8541 ‐ E‐mail: jfs [at]fct [dot] unl [dot] pt
*CALL FOR PAPERS - Deadline Extension*
*Important dates*
*- Abstract submission deadline: May 27, 2025 (AoE) (NEW)*
- Notification of paper acceptance: July 4, 2025
- Camera-ready papers: July 14, 2025 (AoE)
- Conference dates: October 1-3, 2025
*Natural Language Processing, Text Mining and Applications (PLN-TEMA’25)
Track of EPIA’25*
PLN-TEMA’25 will be held at the 24th Portuguese Conference on Artificial
Intelligence (EPIA 2025) taking place in Universidade do Algarve, Faro,
Portugal, between October 1st-3rd 2025. This track is organized under the
auspices of the Portuguese Association for Artificial Intelligence (APPIA).
EPIA 2025 . URL https://epia2025.ualg.pt/
This announcement contains the following: [1] Track description; [2] Topics
of interest; [3] Important dates; [4] Paper submission; [5] Track fees; [6]
Organizing Committee; [7] Contacts.
[1] *Track Description*
The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2025)
is a forum for researchers working in Human Language Technologies, i.e.
Natural Language Processing (NLP), Computational Linguistics (CL), Natural
Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR),
and related areas.
The most natural form of sharing knowledge is indeed through textual
documents. Especially on the Web, a huge amount of textual information is
openly published every day, on many different topics and written in natural
language, thus offering new insights and many opportunities for innovative
applications of Human Language Technologies.
Following advances in general AI sub-fields such as NLP, Machine Learning
(ML) and Deep Learning (DL), text mining is now even more valuable as tool
for bridging the gap between language theories and effective use of natural
language contents, for harnessing the power of semi-structured and
unstructured data, and to enable important applications in real-world
heterogeneous environments. Both hidden and new knowledge can be discovered
by using NLP and Text Mining methods, at multiple levels and in multiple
dimensions, and often with high commercial value.
Authors are invited to submit their papers on any of the issues identified
in section [2]. Revision of the papers will be double-blind at least by
three members of the Program Committee. All accepted papers will be
published by Springer in a volume of Springer’s Lecture Notes in Artificial
Intelligence (LNAI) corresponding to the proceedings of the 24th EPIA
Conference on Artificial Intelligence, provided that at least one author is
registered in EPIA 2025 by the early registration deadline.
[2] *Topics of Interest*
Theories, Algorithms and Models
- Language and Cognitive Modeling
- Tagging, Chunking and Parsing
- Morphology and Word Segmentation
- Natural Language Generation
- Discourse and Pragmatics
- Semantics and Text Inference
- Language Resources: Acquisition and Usage. Lexical Knowledge
Acquisition
- Entailment and Paraphrases
- Entity Recognition and Word Sense Disambiguation
- Natural language understanding
- Language modeling
- Mathematical Properties of Language
- NLP for Low-Resource Languages
Text Mining and NLP Applications
- Text Clustering, Classification and Summarization
- Sentiment Analysis and Argument Mining
- Computational Social Science
- Multi-Word Units
- Machine Learning for NLP and Text Mining
- Spatio-Temporal and Big Text Mining
- Machine Translation and Cross-Lingual Approaches
- Algorithms and Data Structures for Text Mining
- Information Retrieval and Information Extraction
- Question-Answering and Dialogue Systems
- Text-Based Prediction and Forecasting
- Web Content Annotation
- Health/Biomedical/Legal and other Text Mining Applications
- Offensive Speech Detection and Analysis
[3] *Important dates*
- Abstract submission deadline: May 23, 2025 (AoE)
- Paper submission deadline: May 27, 2025 (AoE) (NEW)
- Notification of paper acceptance: July 4, 2025
- Camera-ready papers: July 14, 2025 (AoE)
- Conference dates: October 1-3, 2025
[4] *Paper submission*
Submissions must be full technical papers on substantial, original, and
previously unpublished research. Papers should be prepared according to the
Springer LNAI format, using either a LaTeX or Word template, with a maximum
od 12 pages, including references. EPIA 2025 will not accept any paper
that, at the time of submission, is under review for, has already been
published in or has already been accepted for publication in a journal or
another venue with formally published proceedings. Authors of EPIA 2025
submissions are not permitted to submit their paper to a journal or another
venue during the EPIA 2025 review period.
It is the responsibility of the authors to remove names and affiliations
from the submitted papers, and to take reasonable care to assure anonymity
during the review process. Authors should also follow the standards as set
out in the Springer Nature code of conduct.
[5] *Track Fees:*
Track participants must register at the main EPIA 2025 conference.
[6] *Organizing Committee:*
Joaquim Silva, DI – FCT/UNL
Pablo Gamallo, CiTIUS, Universidade de Santiago de Compostela
Paulo Quaresma, DI – Uviversidade de Évora
Irene Rodrigues, DI – Uviversidade de Évora
Alípio Jorge, Dep. Ciência de Computadores, Fac. Ciências, Universidade do
Porto
[7] *Contacts:*
Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre, 2829‐516,
Caparica, Portugal. Tel: +351 21 294 8536 (ext. 10732) ‐ Fax: +351 21 294
8541 ‐ E‐mail: jfs [at]fct [dot] unl [dot] pt
Registration is extended until end of May:
*ASIRF 2025 - Autumn School 2025 - Information Retrieval and Information
Foraging in Dagstuhl
*https://fg-retrieval.gi.de/veranstaltung/asirf2025
Great learning opportunity for grad/PhD students and everyone interested
in IR, NLP or related fields!
ASIRF provides a holistic perspective and shows how Information
Retrieval and Information Foraging interact. In addition to conceptual
and methodological knowledge from both fields, ASIRF is highly
interdisciplinary. The autumn school will provide different tutorials,
from foundations of Information Retrieval and Information Foraging to
recent research topics such as using large language models for
information retrieval tasks or applications of IR techniques in
application domains.
The autumn school will take place at the best computer science venue
ever Schloss Dagstuhl – Leibniz-Zentrum für Informatik (LZI) between 24
and 29 August 2025.
The program includes the following lectures and tutorials:
- Foundations of Interactive IR (Norbert Fuhr, U Duisburg-Essen)
- Deep Learning for IR (Avishek Anand, TU Delft)
- Conversational Search (Ralf Schenkel, U Trier)
- Fairness and Bias (Andrea Horbach, U Kiel)
- Multimodal retrieval and data analysis (Henning Müller, HES-SO)
- User Experiments and Interactive IR (Thomas Mandl, U Hildesheim)
- Complex Casual Leisure Information Needs (Vivien Petras, HU Berlin)
- User Simulations for IR (Philipp Schaer, TH Köln)
For more information on the schedule, program, or registration:
https://fg-retrieval.gi.de/veranstaltung/asirf2025
See you in Dagstuhl!
ASIRF 2025 organizers
Philipp Schaer, Ralf Schenkel, and Thomas Mandl
[Apologies for multiple postings]
************************************************************************************
[CFP] HASOC-meme: Hate Speech and Offensive Content Identification in
Memes in Bengali, Hindi, Gujarati and Bodo at FIRE 2025
************************************************************************************
https://hasocfire.github.io/hasoc/2025/call_for_participation.html
<https://hasocfire.github.io/hasoc/2025/call_for_participation.html>
We are excited to announce the 7th edition of HASOC, featuring a range
of engaging shared tasks. We warmly invite you to participate in this
edition. HASOC 2025 will introduce classification tasks on memes,
focusing on the identification of abuse, sentiment, sarcasm,
vulgarity, and target. The task will primarily include three binary
classification tasks, one multi-class classification task, and one
multi-label classification task on memes in Bangla, Hindi, Gujarati, and
Bodo languages.
Track Description: This task involves analyzing multimodal data (image
and text) to detect abuse, identify targeted communities, assess
vulgarity and sarcasm, and assign sentiment labels. So, the task will be
in five parts.
Sentiment detection:
• Positive - The meme conveys a supportive, humorous, or appreciative tone.
• Neutral - The meme is neither overtly positive nor negative in tone.
• Negative - The meme expresses hostility, mockery, or criticism.
Sarcasm Detection:
• Sarcastic - The meme presents statements or visuals that imply the
opposite of their literal meaning, often to mock or ridicule.
• Non-Sarcastic: The meme directly conveys its message without sarcasm
or irony.
Vulgarity Detection:
• Vulgar - The meme contains explicit or offensive words, gestures, or
depictions.
• Not Vulgar - The meme does not include any such content.
Abuse Detection:
• Abusive - The meme includes offensive, harmful, or derogatory
language, imagery, or implications targeting an individual or a group.
• Non-abusive - The meme does not contain any offensive, harmful, or
derogatory content.
Target Community Identification:
• Gender - Any reference to male, female, non-binary, or transgender
identities.
• Religion - Mentions or imagery related to any religious belief, deity,
or practice.
• Individual - Specifically mentions or portrays a particular person.
• Political - Targets political ideologies, parties, politicians, or
policies.
• National Origin - Targets people based on their country or ethnicity.
• Social Sub-groups - Groups based on socio-economic status, occupation,
cultural identity, or other affiliations.
• Others - Any target that does not fall into the above categories.
• None - If the meme does not target any specific community, no target
label is assigned.
Important dates
*
Registration starts: 15th May, 2025
*
Hindi, Marathi and Bodo Training Data Release: 17th May, 2025
*
Bangla Training data release: 24th May, 2025
*
Release of the test set: 15th June, 2025
*
Run submission deadline: 30th June, 2025
*
Announcement of results: 15 July, 2025
*
Working notes due: 30th August, 2025
*
Camera-ready copies of notes and overview paper: 30th September, 2025
Task organizers
*
Prof. Dr. Thomas Mandl :- University of Hildesheim, Germany
*
Prof. Dr. Utpal Garain :-Indian Statistical Institute, India
*
Prof. Dr. Debasis Ganguly :- University of Glasgow, United Kingdom
*
Prof. Dr. Sandip Modha :- University of Milano-Bicocca, Italy &
LDRP-ITR, Gandhinagar, India
*
Prof. Dr. Animesh Mukherjee :- Indian Institute of Technology,
Khargapur, India
*
Dr. Koyel Ghosh :- University of Hildesheim, Germany
*
Dr. Mithun Das :- Indian Institute of Technology, Khargapur, India
*
Shubhankar Barman :- BITS pilani, India
*
Mwnthai Narzary :- Central Institute of Technology, Kokrajhar, India
*
Saptarshi Saha :- Indian Statistical Institute, Kolkata, India
Website:
https://hasocfire.github.io/hasoc/2025/call_for_participation.html
<https://hasocfire.github.io/hasoc/2025/call_for_participation.html>
In case of query, please send email via hasoc(a)googlegroups.com
We invite you to submit your ongoing, published or pre-reviewed works to our workshop on Large Language Models for Cross-Temporal Research (XTempLLMs) at COLM 2025.
Our workshop website is available at https://xtempllms.github.io/2025/
Workshop Description:
Large language models (LLMs) have been used for a variety of time-sensitive applications such as temporal reasoning, forecasting and planning. In addition, there has been a growing number of interdisciplinary works that use LLMs for cross-temporal research in several domains, including social science, psychology, cognitive science, environmental science and clinical studies. However, LLMs are hindered in their understanding of time due to many different reasons, including temporal biases and knowledge conflicts in pretraining and RAG data but also a fundamental limitation in LLM tokenization that fragments a date into several meaningless subtokens. Such inadequate understanding of time would lead to inaccurate reasoning, forecasting and planning, and time-sensitive findings that are potentially misleading.
Our workshop looks for (i) cross-temporal work in the NLP community and (ii) interdisciplinary work that relies on LLMs for cross-temporal studies.
Cross-temporal work in the NLP community:
* Novel benchmarks for evaluating the temporal abilities of LLMs across diverse date and time formats, culturally grounded time systems, and generalization to future contexts;
* Novel methods (e.g., neuro-symbolic approaches) for developing temporally robust, unbiased, and reliable LLMs;
* Data analysis such as the distribution of pretraining data over time and conflicting knowledge in pretraining and RAG data;
* Interpretability regarding how temporal information is processed from tokenization to embedding across different layers, and finally to model output;
* Temporal applications such as reasoning, forecasting and planning;
* Consideration of cross-lingual and cross-cultural perspectives for linguistic and cultural inclusion over time.
Interdisciplinary work that relies on LLMs for cross-temporal studies:
* Time-sensitive discoveries, such as social biases over time and personality testing over time;
* Assessment of time-sensitive discoveries to identify misleading findings if any;
* Interdisciplinary evaluation benchmarks for LLMs’ temporal abilities, e.g., psychological time perception and episodic memory evaluation.
Submission Modes:
* Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the XTempLLMs committee, and a final decision of acceptance from the workshop chairs.
* Pre-reviewed submissions: We invite unpublished papers that have already been reviewed either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues. These papers will not receive new reviews but will be judged together with their reviews via a meta-review from the workshop chairs.
* Published papers: We invite papers that have been published recently elsewhere to present at XTempLLMs. Please send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to xtempllms(a)gmail.com. This allows such papers to gain more visibility from the workshop audience.
All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”):
* June 26, 2025: Submission deadline (standard and published papers)
* July 18, 2025: Submission deadline for papers with ARR reviews
* July 24, 2025: Notification of acceptance
* October 10, 2025: Workshop day
Invited Speakers:
* Jose Camacho Collados, Cardiff University, United Kingdom
* Ali Emami, Brock University, Canada
* Alexis Huet, Huawei Technologies, France
Organizing Committee:
* Wei Zhao, University of Aberdeen, United Kingdom
* Maxime Peyrard, Université Grenoble Alpes & CNRS, France
* Katja Markert, Heidelberg University, Germany
We’d like to invite you to take part in a machine learning / natural
language competition with modest (~$500) prizes.
We’re evaluating language models not just on their accuracy at
answering questions but also on how well the models communicate their
uncertainty not just quantitatively but also qualitatively.
The models will be evaluated on accuracy, but this is not the primary
metric. The primary metric will be how much the models help users do
a better job of answering questions. In other words, a model that has
75% accuracy but is convincingly wrong on the remaining 25% of
questions will fare worse than a model that has 66% accuracy but can
correctly identify the remaining questions and say “I don’t know”,
since the downstream humans will trust the latter model more.
The human–computer games will be filmed and posted to YouTube so you
can see how players reacted to your models.
The system submission process is designed to be beginner-friendly and
intuitive. There’s a version that is prompt-based, but also a
huggingface upload for complete models. So if you’ve just wrapped up
teaching an introductory NLP / AI course, we’d appreciate it if you
pass this along!
Full information here: https://sites.google.com/view/qanta/2025-competition
Please contact qanta(a)googlegroups.com if you have any questions!
Best,
Jordan
--
----------------------------------------------------------
Jordan Boyd-Graber
Professor
University of Maryland: CS, iSchool, UMIACS, LSC
Voice: 920.524.9464
jbg(a)umiacs.umd.edu
http://boydgraber.org
----------------------------------------------------------
Phraseology and Multiword Expressions (PMWE) (https://langsci-press.org/catalog/series/pmwe) is a book series at Language Science Press, a born-digital scholar-led open access publisher in linguistics.
The series publishes high-quality books about conventionalized, idiosyncratic combinations of words. Within the field of phraseology such word combinations are sometimes called phrasemes, while the computational linguistics community uses the term multiword expressions for them. Various subtypes of such word combinations are of interest, such as multiword compounds, multiword terms, multiword named entities, light-verb constructions, phrasal verbs, idioms, collocations, formulaic speech, proverbs, etc.
The series is open to different approaches to create a forum for an interdisciplinary and cross-framework exchange of research results, including but not limited to the following subdisciplines:
- Computational linguistics and natural language processing
- Computer science
- Corpus linguistics
- Lexicography
- Psycholinguistics
- Theoretical linguistics
We welcome volume proposals addressing all topics related to theoretical, computational, and empirical approaches to phraseology including:
- Linguistic properties and typologies of multiword expressions, especially in multilingual frameworks
- Digital lexical resources including multiword expressions
- Description and processing of multiword expressions in syntactic and semantic frameworks (e.g., CCG, CxG, HPSG, LFG, TAG, UD)
- Identification and annotation of multiword expressions in corpora and treebanks
- Multiword expressions in machine translation and other end-user applications
- Multiword expressions and lexical innovation
- Diachronic studies and semantic change in multiword expressions
- Representation and evaluation of multiword expressions in language models (e.g., LLMs) and text generation systems
All contributions should be in English.
To submit a volume proposal, please follow the guidelines at the series home page:
https://langsci-press.org/catalog/series/pmwe
Volumes published so far:
Voula Giouli, Verginica Barbu Mititelu (eds.) Multiword expressions in lexical resources: Linguistic, lexicographic, and computational perspectives. 2024.
Victoria Beatrix Fendel (ed.) Support-verb constructions in the corpora of Greek: Between lexicon and grammar?. 2024.
Aleksandar Trklja, Łukasz Grabowski (eds.) Formulaic language: Theories and methods. 2021
Sabine Schulte im Walde, Eva Smolka (eds.) The role of constituents in multiword expressions: An interdisciplinary, cross-lingual perspective. 2020.
Yannick Parmentier, Jakub Waszczuk (eds.) Representation and parsing of multiword expressions: Current trends. 2019.
Stella Markantonatou, Carlos Ramisch, Agata Savary, Veronika Vincze (eds.) Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop. 2018.
Manfred Sailer, Stella Markantonatou (eds.) Multiword expressions: Insights from a multi-lingual perspective. 2018.
(see https://langsci-press.org/catalog/series/pmwe for links to the volumes)
Dear Colleagues,
The ACL 2025 Conference is pleased to announce that registration is now
officially open. We encourage you to register early to take advantage of
reduced rates.
Please note the following important deadlines for registration:
* Early Registration: Concludes on Wednesday, July 2, 2025, AOE.
* Late Registration: Will close for both In-Person and Virtual
attendees on Friday, July 25, 2025, at 11:59 PM CET.
* Onsite Registration: Will be available for both In-Person and
Virtual attendees from Saturday, July 26, 2025, through August 1, 2025,
at 11:59 PM CET.
Detailed information regarding the registration process can be found on
the official conference website: https://acl.swoogo.com/acl2025
We look forward to welcoming you to ACL 2025 in beautiful Vienna!
Sincerely,
The ACL Organization Team
Dear List,
the 12th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the University of Bayreuth, Germany, on the 4th and 5th of September 2025
(CfP, extended deadline paper/abstract submission: 28th of May 2025, 23:59 CEST)
The conference (https://www.cmc2025.uni-bayreuth.de/en/ ) brings together language-centered research on CMC and social media in linguistics, philologies, communication sciences, media, and social sciences with research questions from the fields of corpus and computational linguistics, language technology, text technology, and machine learning.
We adhere to a wide definition of CMC and social media, covering various media of digital communication, including email, newsgroups, forums, chat and messenger applications (e.g. WhatsApp), social networks (e.g. Facebook, Instagram, X, TikTok), gaming platforms, as well as interactions in the communication areas of video portals (YouTube), learning platforms, gaming apps, online games and virtual worlds.
Our keynotes are Gavin Brookes (Lancaster University) and Stephanie Evert (Friedrich-Alexander University Erlangen-Nuremberg).
We invite submissions to the 12th conference on following topics (deadline paper/abstract submission: 28th of May 2025, 23:59 CEST)
* Development of CMC corpora / social media corpora
* Building CMC corpora: from data collection to publication
* Open access data for CMC research: ethical and GDPR issues
* Annotating CMC data: genres, linguistic aspects, metadata
* Multimodal corpora
* Big data corpora
* Analysis of CMC corpora / social media corpora
* Sociolinguistic studies of CMC
* Discourse analysis of CMC
* Linguistic characteristics of CMC
* Multimodal (incl. visual) aspects of CMC
* Multilingualism and code-switching in CMC
* CMC in language education
* Natural language processing (NLP) of CMC data / social media data
* Normalization
* PoS tagging
* Lemmatization
* Syntactic parsing
* CMC for the benefit of digital societies
* Interdisciplinary research design and research methods in CMC for the benefit of digital societies
* Exploration of Diversity and Inclusion in CMC
* Intersection of CMC and Social Sciences
* Intersection of CMC and Human-Centered Data Science
* Intersection of CMC and Computational Social Science
* Contrastive CM studies across different languages
The conference language is English. Submissions will consist of:
* Short papers (2-4 pages – maximal 6 pages including the list of references –, following the existing template) for oral presentations
* Abstracts (max. 300 words) for poster presentations
Submission and review
Authors of accepted papers are invited to present their work at the conference (30-minute timeslots: 20-minute talks, followed by 10 minutes of discussion). Authors of accepted abstracts can present their work in progress or early-stage research during the poster session. At the start of the conference, all accepted papers will be made available in online proceedings. After the conference, speakers with the best contributions will be invited to submit extended papers for one or more special issue journal or a volume publication.
Instructions for authors
All contributions will be collected through an online platform (ConfTool): https://www.cmc2025.uni-bayreuth.de/en/index.html
Templates for the submission:
Template for MSWord: https://www.cmc2025.uni-bayreuth.de/pool/dokumente/template_word.docx
Template for LaTeX: https://www.cmc2025.uni-bayreuth.de/pool/dokumente/template_latex.zip
Local organizing committee:
* Dr. Annamaria Fabian (University of Bayreuth/Bavarian Research Institute for Digital Transformation at the Bavarian Academy of Science)
* Prof. Dr. Igor Trost (Alpen-Adria University Klagenfurt/University of Passau)
For all enquiries, please contact the organizers at cmc2025(a)uni-bayreuth.de<mailto:cmc2025@uni-bayreuth.de> and see https://www.cmc2025.uni-bayreuth.de/en/
More information on the “International Conference Series on CMC and Social Media Corpora (cmc-corpora)”:
https://cmc-corpora.org/series/#<https://cmc-corpora.org/series/>
All the best,
Annamaria Fabian