The question of if NLP is supervised or unsupervised is not a binary one; it's a spectrum with various tasks falling along different points.
NLP
Discover how Artificial Intelligence enhances Natural Language Processing and its growing impact across different sectors.
Syntax, grammar variability, and linguistic diversity pose significant challenges for natural language processing (NLP) systems.
Noam Chomsky's transformational-generative grammar in the 1960s provided a theoretical framework for analysing syntactic structures.
NLP focuses on extracting meaning and context from text through semantic analysis and contextual understanding.
NLP powers language translation services like Google Translate and sentiment analysis tools for understanding public opinion.
NLP improves the accuracy and efficiency of clinical documentation by extracting relevant information from physician notes.
NLP aids computers in understanding and generating human language for tasks like translation, sentiment analysis, and chatbots.
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