Deep Learning for Natural Language Processing Workshop (co-located with AICCSA2024 conference (Class C))
*Description of the workshop*

Natural Language Processing (NLP) poses a significant challenge within computational linguistics due to the intricate grammatical structures, intricate morphologies, and orthographic ambiguities found in numerous languages. These diverse linguistic characteristics heighten the complexity of NLP tasks, necessitating the development of effective methodologies. We need to think about methods that can deal with the linguistic complexity. Deep learning approaches have demonstrated remarkable performance across a wide array of NLP tasks.

The Deep Learning for Natural Language Processing workshop aims to explore the recent deep learning architectures and techniques that can be used to resolve the complexity of language phenomena in different NLP applications such as machine translation, sentiment analysis, chatbots, etc.

This workshop is an opportunity for researchers and practitioners who are engaged in the development of NLP applications, to present and discuss the recent fundamental and applied research works, providing novel solutions to emerging challenges in different NLP fields.


*Topics*

The focal points of this workshop encompass, but are not restricted to, the use of deep learning on the subsequent fields:

· Pre-train or fine-tuned large language models,

· Information extraction,

· Sentiment analysis,

· Named entity recognition and disambiguation,

· Text classification, text generation, text summarization and text simplification,

· Social media analytics,

· Optical character recognition,

· Speech synthesis,

· Machine translation,

· Pattern recognition,

· Syntactic analysis,

· Part-of-speech tagging,

· Dialect identification,

· Dialect translation,

· Fake news detection,

· Financial NLP,

· Healthcare NLP,

· Plagiarism detection,

· Authorship identification and verification

· etc.


*Submission information*

The organizing committee members are pleased to invite you to submit original unpublished contributions to the DLNLP workshop at AICCSA 2024 through the Easychair submission system. All submissions will be peer-reviewed based on relevance, originality, importance and clarity. The submissions should be assigned to Deep Learning for Natural Language Processing workshop at the Easychair submission system.

A full paper must not exceed 6 pages (including all figures, tables and references).

*Publication*

All accepted and presented papers will be published in the main conference proceedings and indexed by IEEE Xplore Digital Library, DBLP and Scopus.



*Important dates*


Paper submission deadline: 05 August 2024
Author notification: 20 August 2024
Camera-ready papers and registration: 13 September 2024
Workshop: 22-26 October 2024 a part of the AICCSA 2024 conference

*Organizers*

Lamia Hadrich Belguith (ANLP Research Group, MIRACL Lab., FSEG, University of Sfax, Tunisia)
Maher Jaoua (ANLP Research Group, MIRACL Lab., FSEG, University Of Sfax, Tunisia)
Samira Ellouze (ANLP Research Group, MIRACL Lab., ISIMG, University of Gabes, Tunisia)


*Contact*


deeplearning4nlp.aiccsa2024@gmail.com