Collocation extraction is a way to find words that are often used together. For example, when we say "strong coffee," "strong" and "coffee" are commonly used together. Collocation extraction helps computers understand the relationships between words, so that they can be used to give better answers when you ask a question. Think of it like a computer version of looking up the definition of a word in a dictionary.