Making sense of text information is becoming a key asset for businesses. The ability to automate repetitive, cognitive tasks is crucial to improving efficiency and as a result, profitability. Analytics Insight brought this interesting information to our attention in their article, “A Pioneering Natural Language Understanding Platform Processing Intelligent Text.”
Natural language processing (NLP) is a branch of artificial intelligence (AI) that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.
The problems of language ambiguity and vocabulary mismatch are the two major challenges encountered by machines when processing natural language. Language ambiguity means that words can have many different meanings. Addressing this challenge requires training of the machine learning systems using an ontology. By measuring the semantic overlap, the system understands that both expressions are related and will trigger whatever action is required.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.