What is BERTScore? BERTScore is an innovative evaluation metric in natural language processing (NLP) that leverages the power of BERT (Bidirectional Encoder Representations from Transformers) to...
What is BERTScore? BERTScore is an innovative evaluation metric in natural language processing (NLP) that leverages the power of BERT (Bidirectional Encoder Representations from Transformers) to...
Introduction to Perplexity in NLP In the rapidly evolving field of Natural Language Processing (NLP), evaluating the effectiveness of language models is crucial. One of the key metrics used for this...
What is the BLEU Score in NLP? BLEU, Bilingual Evaluation Understudy, is a metric used to evaluate the quality of machine-generated text in NLP, most commonly in machine translation. Kishore...
What is the ROUGE Metric? ROUGE, which stands for Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics used to evaluate the quality of summaries and translations generated by...
What is Hashing? Hashing is used in computer science as a data structure to store and retrieve data efficiently. At its core, hashing involves taking an input (or "key") and running it through a...
What is Naive Bayes? Naive Bayes classifiers are a group of supervised learning algorithms based on applying Bayes' Theorem with a strong (naive) assumption that every feature in the dataset is...
What is Full-Text Search? Full-text search is a technique for efficiently and accurately retrieving textual data from large datasets. Unlike traditional search methods that rely on simple string...
What are Co-occurrence Matrices? Co-occurrence matrices serve as a fundamental tool across various disciplines, unveiling intricate statistical relationships hidden within data. Whether in natural...
What is Query Understanding? Understanding user queries lies at the heart of efficient communication between humans and machines in the vast digital information and interaction landscape. Query...
What is Distributional Semantics? Understanding the meaning of words has always been a fundamental challenge in natural language processing (NLP). How do we decipher the intricate nuances of...
What is Natural Language Search? Natural language search refers to the capability of search engines and other information retrieval systems to understand and interpret human language in its natural...
What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and generating human language has been a longstanding challenge. One...
Can a Machine Tell a Lie? Picture this: you're scrolling through social media, bombarded by claims about the latest scientific breakthrough, political scandal, or celebrity gossip. Each post seems...
What is Speech Recognition? Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is a technology that converts spoken language into written text. The primary...
What is Conversational AI? Conversational AI, short for Conversational Artificial Intelligence, refers to using artificial intelligence and natural language processing (NLP) technologies to enable...
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed to facilitate the interaction between...
What is Computational Linguistics? Computational linguistics is an interdisciplinary field that combines principles of linguistics and computer science to develop computational models and algorithms...
What is Entity Resolution? Entity resolution, also known as record linkage or deduplication, is a process in data management and data analysis where records that correspond to the same entity across...
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