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Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) by Florentina Hristea is a nonfiction available to read on EtoBox.

What is Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) about?

As often noted, AI-powered text processing continues to represent a strong trend in Artificial Intelligence (AI), primarily due to the genuine explosion of texts on the World Wide Web. Natural language processing (NLP) is one of the most important technologies in use today, especially due to the large and growing amount of online text, which needs to be understood in order for its enormous value to be fully asserted. NLP can make sense of the unstructured data that are produced by social platforms and other social data sources and can help organize them into a more structured model that supports various types of tasks and applications. Human language technology (HLT) poses a significant challenge for computing, requiring advanced NLP and the availability of big data to create large-scale systems and applications. The large size, unrestrictive nature, and ambiguity of natural language have led to substantial developments in the NLP field in various ways and from different perspectives, all of which were of interest to this Special Issue. Although numerousmachine learning models have been developed for NLP applications, recently, deep learning approaches have achieved notable results

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Author

Florentina Hristea

Publisher

MDPI

Published

2024

Language

EN

ISBN

9783725800858

Category

nonfiction

Subjects

Linguistics, Language