Current Trends In Natural Language Processing Nlp And Human Language Technology Hlt 1st Edition Florentina Hristea by Florentina Hristea 9783725800858, 3725800855 instant download after payment.

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 across many NLP tasks. This Special Issue also contributes to the use and exploration of current advances in machine learning and deep learning for a great variety of NLP topics, belonging to a broad spectrum of research areas that are concerned with computational approaches to natural language and, specifically, with processing human language in the form of text.