Abmm: Arabic bert-mini model for hate-speech detection on social media
Hate speech towards a group or an individual based on their perceived identity, such as
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
Arabic sentiment analysis using BERT model
Sentiment analysis is the process of determining whether a text or a writing is positive,
negative, or neutral. A lot of research has been done to improve the accuracy of sentiment …
negative, or neutral. A lot of research has been done to improve the accuracy of sentiment …
Challenges and opportunities for Arabic question-answering systems: current techniques and future directions
Artificial intelligence-based question-answering (QA) systems can expedite the performance
of various tasks. These systems either read passages and answer questions given in natural …
of various tasks. These systems either read passages and answer questions given in natural …
TxLASM: A novel language agnostic summarization model for text documents
Abstract In Natural Language Processing (NLP) domain, the majority of automatic text
summarization approaches depend on a prior knowledge of the language and/or the …
summarization approaches depend on a prior knowledge of the language and/or the …
Combining bert representation and pos tagger for arabic word sense disambiguation
In this paper, we address the problem of Word Sense Disambiguation of Arabic language
where the objective is to determine an ambiguous word's meaning. We model the problem …
where the objective is to determine an ambiguous word's meaning. We model the problem …
Geez part of speech tagging using deep learning approaches
Geez is an ancient language used in Ethiopia and Eritrea as a liturgical language and it has
also gained attention in academic areas in Ethiopia and abroad. Despite its historical …
also gained attention in academic areas in Ethiopia and abroad. Despite its historical …
[PDF][PDF] A Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks.
Aspect-based Sentiment Analysis (ABSA) consists in extracting the terms or entities
described in a text (attributes of a product or service) and the user perception of each aspect …
described in a text (attributes of a product or service) and the user perception of each aspect …
Deep Neural Networks for Part-of-Speech Tagging in Under-Resourced Amazigh
Abstract Part-of-speech (POS) tagging denotes the assignment of appropriate grammatical
categories to individual words within a sentence or text, playing a pivotal role in numerous …
categories to individual words within a sentence or text, playing a pivotal role in numerous …
Linguistic Injustice in Multilingual Technologies: The TenTen Corpus Family as a Case Study
D Bordonaba-Plou… - Multilingual Digital …, 2023 - taylorfrancis.com
The aim of this work is twofold. First, to distinguish a phenomenon that produces a new type
of linguistic injustice,“the paradox of Anglocentric multilingualism.” This paradox arises when …
of linguistic injustice,“the paradox of Anglocentric multilingualism.” This paradox arises when …
Arabic Native Language Identification
Y Bassas - 2024 - search.proquest.com
Abstract Native Language Identification (NLI) is concerned with predicting the native
language of an author's writing in a second language. NLI relies on the assumption that …
language of an author's writing in a second language. NLI relies on the assumption that …