Natural language processing (NLP) and natural language understanding (NLU) are two often-confused technologies that make search more intelligent and ensure people can search and find what they want.

Supervised machine learning is widely used in natural language processing and, based on the extensive OntoNotes sense tagged data, we have a state-of-the-art WSD system for English verbs that ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...

Artificial intelligence (AI) is changing the way we look at the world. AI "robots" are everywhere. From our phones to devices like Amazon's Alexa, we live in a world surrounded by machine learning.

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...