Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

A Topic-Specific Web Crawler using Deep Convolutional Networks

Saed ALqaraleh,Hatice Meltem Nergız Sırın

#CNN #natural language processing #text classification #topic specific crawler #focused crawler #web crawling

Jihene Younes1, Hadhemi Achour1, Emna Souissi2, and Ahmed Ferchichi1 1Université de Tunis, ISGT, Tunisia 2Université de Tunis, ENSIT, Tunisia

#Tunisian dialect # language identification # deep learning # BLSTM # CRF # natural language processing

Mohammad Ebrahim Khademi, Mohammad Fakhredanesh, and Seyed Mojtaba Hoseini

#Extractive Text Summarization # Unsupervised Learning # Language Independent Summarization # Continuous Vector Space # Word Embedding # Natural Language Processing

Approaches

#Neural networks # semantic similarity # word representations # natural language processing

Abstract: Laws are often developed in a piecemeal approach and many provisions of similar nature are often found in

#Deep learning # neural networks # classification # legislations

Adnen Mahmoud1,2, and Mounir Zrigui1

#Arabic language processing # word2vec # part-of-speech annotation # paraphrasing # semantic analysis # recurrent convolutional neural networks

Zineb Touati-Hamad, Issam Bendib, Saqib Hakak

#Arabic text # Quranic verse # Authentication # NLP # Word Embeddings # Word2vec # DL # CNN # LSTM

Fahd Alotaibi,Vishal Gupta

#Analysis of sentiments #convolutional neural networks #part of speech tagging #natural language processing #word2Vec #GloVe #fastText #hybrid embedding #recurrent neural networks