1. A method in a content recommendation system in a computer system having a computer processor, the method comprising: automatically providing quotation information by: by the computer processor, automatically extracting a quotation from a text document in a corpus of text documents indexed by the computing system; by the computer processor, automatically identifying one or more entities that are referenced by the text document, each of the identified entities being electronically represented by the content recommendation system, wherein identifying the one or more entities includes recognizing and disambiguating a document reference to an entity by applying named entity recognition techniques, such that the document reference is linked to a representation of the entity stored in an entity repository that is identified by a unique identifier, and wherein identifying the one or more entities includes linking together multiple mentions of a same entity across the text document to identify an entity that is a speaker of the quotation and wherein the multiple mentions of the same entity are identified by the unique identifier; by the computer processor, attributing the quotation to the speaker of the quotation by storing data that associates the quotation with the identified entity that is the speaker of the quotation; and by the computer processor, in response to a request, providing the quotation by transmitting data that indicates the quotation and the attributed speaker.
1. A method in a content recommendation system in a computer system having a computer processor, the method comprising: automatically providing quotation information by: by the computer processor, automatically extracting a quotation from a text document in a corpus of text documents indexed by the computing system; by the computer processor, automatically identifying one or more entities that are referenced by the text document, each of the identified entities being electronically represented by the content recommendation system, wherein identifying the one or more entities includes recognizing and disambiguating a document reference to an entity by applying named entity recognition techniques, such that the document reference is linked to a representation of the entity stored in an entity repository that is identified by a unique identifier, and wherein identifying the one or more entities includes linking together multiple mentions of a same entity across the text document to identify an entity that is a speaker of the quotation and wherein the multiple mentions of the same entity are identified by the unique identifier; by the computer processor, attributing the quotation to the speaker of the quotation by storing data that associates the quotation with the identified entity that is the speaker of the quotation; and by the computer processor, in response to a request, providing the quotation by transmitting data that indicates the quotation and the attributed speaker. 10. The method of claim 1 wherein extracting the quotation includes identifying a speaker for a quotation by identifying a subject of a sentence in the text document.