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AI News & Update
Debolina Biswas

Hugging Face Launches Free NLP Course

Hugging Face launched the first part of its natural language processing (NLP) course on June 15. The course will cover how to use the NLP

AI Mysteries
Vijaysinh Lendave

How to Identify Entities in NLP?

Generally, when we read a text, we recognize entities straightway like people, values, locations and more. For example, in the sentence “ Alexander the Great,

AI Origins & Evolution
Srishti Deoras

Explained: CUAD, The Dataset For Legal NLP

NLP is still largely unexplored when it comes to complicated language such as legal contracts. Recently, the researchers at Berkeley and Nueva School, have taken

AI Mysteries
Pavan Kandru

Guide to Sense2vec – Contextually Keyed Word Vectors for NLP

Sense2vec is a neural network model that generates vector space representations of words from large corpora. It is an extension of the infamous word2vec algorithm.Sense2vec creates embeddings for ”senses” rather than tokens of words.

NLP for Search Engine Optimisation
AI Origins & Evolution
Sejuti Das

Best NLP-based SEO Tools For 2021

One key area that has witnessed a massive revolution with natural language processing (NLP) is the search engine optimisation. We all remember Google releasing the

NLP Trends
AI Origins & Evolution
Shraddha Goled

Top 7 NLP Trends To Look Forward To In 2021

Natural language processing first studied in the 1950s, is one of the most dynamic and exciting fields of artificial intelligence. With the rise in technologies

machine_translation
AI Mysteries
Ankit Das

Deep Dive in Datasets for Machine translation in NLP Using TensorFlow and PyTorch

With the advancement of machine translation, there is a recent movement towards large-scale empirical techniques that have prompted exceptionally massive enhancements in translation quality. Machine Translation is the technique of consequently changing over one characteristic language into another, saving the importance of the info text.

language
AI Mysteries
Ankit Das

Datasets for Language Modelling in NLP using TensorFlow and PyTorch

In recent times, Language Modelling has gained momentum in the field of Natural Language Processing. So, it is essential for us to think of new models and strategies for quicker and better preparation of language models. Nonetheless, because of the complexity of language, we have to deal with some of the problems in the dataset. With an increase in the size of the dataset, there is an increase in the normal number of times a word shows up in that dataset.

Vocabulary Builder
AI Mysteries
Ankit Das

How To Create A Vocabulary Builder For NLP Tasks?

The vocabulary helps in pre-processing of corpus text which acts as a classification and also a storage location for the processed corpus text. Once a text has been processed, any relevant metadata can be collected and stored.In this article, we will discuss the implementation of vocabulary builder in python for storing processed text data that can be used in future for NLP tasks.

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