Inverted index in information retrieval In the world of information retrieval and search technologies, inverted indexing is a fundamental concept…
Natural language processing (NLP) for Arabic text involves tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition, among others. These…
The Basics of Syntactic Analysis Before understanding syntactic analysis in NLP, we must first understand Syntax. What is Syntax? Syntax…
What Are Autoregressive (AR) Models? Autoregressive (AR) models are statistical and time series models used to analyze and forecast data…
Basics of Document Classification Document classification, or document categorization, is a fundamental natural language processing (NLP) task that categorizes text…
What Is Dependency Parsing in NLP? Dependency parsing is a fundamental technique in Natural Language Processing (NLP) that plays a…
What is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generation (RAG) is a natural language processing (NLP) technique that combines information retrieval capabilities…
What is document retrieval? Document retrieval is the process of retrieving specific documents or information from a database or a…
Understanding Pre-Trained Models Pre-trained models have become a game-changer in artificial intelligence and machine learning. They offer a shortcut to…
What is Information Extraction? Information extraction (IE) is a natural language processing (NLP) task that automatically extracting structured information from…