17. The computer system of claim 14 , wherein identifying a plurality of conversation model components comprises: identifying one or more entities within the conversation text; identifying one or more key phrases within the conversation text; and determining a relevance score for each of one or more entities and key phrases representing the relevance of the entity or key phrase to the conversation.
17. The computer system of claim 14 , wherein identifying a plurality of conversation model components comprises: identifying one or more entities within the conversation text; identifying one or more key phrases within the conversation text; and determining a relevance score for each of one or more entities and key phrases representing the relevance of the entity or key phrase to the conversation. 18. The computer system of claim 17 , wherein determining a relevance score for an entity or key phrase comprises: querying a document index with the entity or key phrase to identify documents including one or more terms of the entity or key phrase; identifying a set of result components from the identified documents, each result component including data associated with the identified documents; generating a vector including the identified set of result components, each vector entry including a result component and a count represent a number of occurrences of the result component within the identified documents; classifying the vector with a classifier trained to produce a relevance score.