Abstract: A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and entity models, parses text to identify entities. The entities may be, for example, people, organizations, or locations. A social network module of the server builds the social network model implicit in the data accessed by the user. The social network model includes the relationships between entities and an indication of the strength of each relationship. The social network module is also used to disambiguate names and unify entities based on the social network model.

Abstract: A system, method, and computer program product dynamically prioritizes electronic messages. An electronic message having one or more properties is received. These message properties can include, a particular sender or body text. Information describing past activity of a recipient user of the electronic message is accessed. A priority is determined for the electronic message, where the determining is based at least in part on a comparison of a property of the electronic message with the accessed information. The priority determination may include detecting the presence of a request in the electronic message, determining the social weight of the sender of the electronic message, determining the temporal urgency of the electronic message, or determining the relevance of the electronic message, for example. An indication of the priority of the message is presented to the recipient user.

Abstract: A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and entity models, parses text to identify entities. The entities may be, for example, people, organizations, or locations. A social network module of the server builds the social network model implicit in the data accessed by the user. The social network model includes the relationships between entities and an indication of the strength of each relationship. The social network module is also used to disambiguate names and unify entities based on the social network model.