35.2239, Calls: 2nd International Conference on Data & Digital Humanities — Generative Artificial Intelligence for Text and Multimodal Data
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LINGUIST List: Vol-35-2239. Tue Aug 13 2024. ISSN: 1069 - 4875.
Subject: 35.2239, Calls: 2nd International Conference on Data & Digital Humanities — Generative Artificial Intelligence for Text and Multimodal Data
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Date: 09-Aug-2024
From: Micaela Aguiar [maguiar60 at gmail.com]
Subject: 2nd International Conference on Data & Digital Humanities — Generative Artificial Intelligence for Text and Multimodal Data
Full Title: 2nd International Conference on Data & Digital Humanities
— Generative Artificial Intelligence for Text and Multimodal Data
Short Title: DDHUM2024
Date: 12-Dec-2024 - 13-Dec-2024
Location: Braga (hybrid), Portugal
Contact Person: Micaela Aguiar
Meeting Email: lang2science at gmail.com
Web Site: https://sites.google.com/view/ddhum-2024
Linguistic Field(s): Applied Linguistics; Computational Linguistics;
Discourse Analysis; Text/Corpus Linguistics; Translation
Call Deadline: 15-Sep-2024
Meeting Description:
We are pleased to announce the 2nd International Conference Data &
Digital Humanities, which will take place at the University of Minho,
Braga, Portugal, on 12th-13th of December 2024, as a virtual and
face-to-face conference. This will be an event hosted by CEHUM –
Center for Humanistic Studies (General Co-Chairs Sílvia Araújo,
Micaela Aguiar, Dalila Duress). For more information, visit our
website: https://sites.google.com/view/ddhum-2024.
The first edition of this congress began as part of the research
project PortLinguE (PTDC/LLT-LIG/31113/2017), entitled "Multilingual
portal for specialized languages: mining open data for cross-language
information retrieval", in collaboration with the research project
DIAL4U (2020-1-FR01-KA226-HE-095526), entitled "Digital pedagogy to
develop Autonomy, mediate and certify Lifewide and Lifelong Language
Learning for (European) Universities" and with the research project
SimpleText (University of Bretagne Occidentale).
Our second instalment continues the dialogue among these research
domains, striving to promote the exchange and dissemination of
innovative practices in using Generative AI for both multimodal and
textual applications within the academic community. While this edition
of the conference primarily focuses on Generative AI, we also welcome
work that covers the three main steps of data processing and aims to
make data science methods more accessible to the broader community and
the Humanities.
2nd Call for Papers:
In recent years, the intersection of data science, digital humanities,
and generative artificial intelligence (GenAI) has emerged as a
fertile ground for groundbreaking research, innovation, and
exploration. The theme of the 2nd International Conference on Data &
Digital Humanities — Generative Artificial Intelligence for Text and
Multimodal Data (DDHUM2024) underscores the pivotal role that
generative AI plays in transforming the landscape of humanities
research and scholarship.
The primary aim of this conference is to bring together researchers
from various disciplines who are interested in data and the digital
humanities. We invite linguistic specialists, data scientists, IT
professionals, developers, and anyone with a strong interest in data
from a digital humanities perspective to participate in discussions on
current and future challenges. Although the main emphasis is on
methodologies and practical applications of Generative Artificial
Intelligence (GenAI) for the analysis, application, and communication
of textual and multimodal data, we also welcome submissions on the
following topics:
Getting text data:
- Open Access and Open Science
- Digital libraries
- Data repositories
- Language Corpora
- Social media
- Audio/video data
- Web scraping techniques
- Text cleaning and parsing techniques
- Tools for extracting and cleaning text data
- LLM & LMM
- Other related topics
Finding inspiration in text data:
- Document classification
- Corpora comparison
- Entity recognition
- Summarization
- Terminology extraction
- Text statistics
- Topic modeling
- Sentiment analysis & Opinion mining
- Author profiling
- New research methodologies and design
- Text simplification
- Other related topics
Telling stories with text data:
- Infographics
- Animated videos
- Geolocalization
- Interactive Dashboards
- Science Communication
- Podcasts
- Instructional Design Research
- Other related topics
SUBMISSION
Authors are invited to submit original, unpublished research papers.
Papers must be written in English and will be refereed through
double-blind peer review. You may submit papers of the following
types:
Full Papers: Consisting of 10 to 15 pages (including references).
Short Papers: Comprising 6 to 9 pages (including references).
All papers must be formatted according to the following template: http
s://drive.google.com/file/d/1fZxzSGMYt4soUUl_MMWhKZfh7V5RyYOt/view?usp
=sharing .
Submit your paper in the following link (please note that you'll need
to create an account with CMT in order to submit):
https://cmt3.research.microsoft.com/DDHUM2024
PUBLICATION
Accepted papers will be published in an indexed journal or by a
renowned publisher, with details to be announced at a later date.
NEW DATES
Paper Submission Deadline: 15th of September, 2024
Notification of Acceptance/Rejection: 15th October, 2024
Registration deadline 16th October - 6th December, 2024
Conference Dates: 12th & 13th December, 2024
Final Paper Submission Deadline: 20th December, 2024
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