Arabic Language Processing: From Theory to Practice (eBook, PDF)

8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024, Proceedings, Part I
Redaktion: Hdioud, Boutaina; Aouragh, Si Lhoussain

• Format: PDF

Produktbeschreibung

This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 19-20, 2024.

The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions.

The papers are organized in the following topical sections:

Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA.

Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 274
• Erscheinungstermin: 1. Februar 2025
• Englisch
• ISBN-13: 9783031791642
• Artikelnr.: 73230828

Inhaltsangabe

.- Learning Arabic and dialectal and Sentiment Analysis.

.- Sentiment Analysis on Moroccan Dialect of Arabic combining NLP and ML methods.

.- Enhancing Arabic Sentiment Analysis using Arabic LLMs.

.- Sentiment analysis of texts written in Arabic: Addressing the issue of negation.

.- Automatic Arabic Essays Scoring: A Scoping Review.

.- Bridging the Emotional Gap: Google NL-AI Sentiment Analysis in Comparing Moroccan Literary Translations.

.- HateTune: Tunisian Dialect Hate Speech Detection Dataset.

.- DarijaGenie: Learning Moroccan Arabic Through a Multimodal Chatbot.

.- Morpho-lexical based approach for Arabic WorldNet extension.

.- A Hybrid Annotation Model for Arabic Argumentative Debate Corpus.

.- Alkhalil Platform for Arabic Language Processing.

.- Advancements in Deep Learning for Arabic Language Processing : Generation, Translation, and QA.

.- Exploring semantic Hadith Overlap across Topics.

.- Stance Detection in Arabic Dialects: Preliminary Experiments.

.- MAGENTA: Generating and Detecting Arabic Machine-Generated Text in Multiple Domains.

.- Transformers and Spark for Automated CV Classification in Arabophone regions.

.- Fine-Tuning AraBART on AHS dataset for Arabic Abstractive Summarization.

.- Qur'an Passage Ranking Using Transformer Models.

.- Question Answering Over the Arabic Hadith Sharif Using Transformer Models.

.- Deep Reinforcement Learning for Arabic Machine Translation: A Study on Reward Signals.

.- ARAP-IRONY: a Multi-dialectal Arabic Irony Corpus for Irony Detection.

.- Context-aware Arabic Diacritization using Transformers.

.- Classifying Persuasion Modes in Arabic Debates: A Preliminary Language Model-based Analysis.

.- Strengthening deep learning through morphological analysis for an Arabic Lemmatizer development.

.- Enhancing Arabic Word Sense Disambiguation with Ensemble BERT-based Models.