Abstract: A method of information retrieval is provided. The method comprises receiving a query from a user and parsing the query in real-time as the user enters the query. The parsed query is interpreted dynamically based on a defined schema of a knowledge base, and a number of query interpretations is displayed in real-time as the user enters the query. When a selection of one of the query interpretations is received from the user information is retrieved from the knowledge base according to the selected query interpretation.

Abstract: Methods, and systems for a natural language interface with real-time feedback. One of the methods includes receiving an n-gram of characters; identifying a first prefix token within the n-gram of characters; identifying a plurality of possible interpretations of the n-gram of characters; for each possible interpretation, attaching the first prefix token to a token sequence; removing the first prefix token from the n-gram of characters to produce an n-gram remainder; identifying a second prefix token within the n-gram remainder using a tokenizer; identifying a plurality of remaining possible interpretations based on the first prefix token and the second prefix token; for each remaining possible interpretation attaching the second prefix token to a token sequence; applying grammatical rules to each token sequence to determine that each token sequence is valid; and forwarding interpretation data associated with at least one valid token sequence.

Abstract: A method of information retrieval is provided. The method comprises receiving a query from a user and parsing the query in real-time as the user enters the query. The parsed query is interpreted dynamically based on a defined schema of a knowledge base, and a number of query interpretations is displayed in real-time as the user enters the query. When a selection of one of the query interpretations is received from the user information is retrieved from the knowledge base according to the selected query interpretation.

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage medium, for predicting an outcome in response to a detected event. In one aspect, the method includes actions of maintaining a database of data records with a knowledge graph, receiving a stream of real-time data that includes data records, and from time-to-time as the real-time data is received: identifying a set of one or more attributes associated with a real-time event represented by one of the data records received, identifying a data record in the knowledge graph representing an event-outcome pair, determining that an event of the event-outcome pair has historically been associated with triggering an outcome of the event-outcome pair, and, executing a set of rules defining logic associated with the event-outcome pair specifying that the outcome will occur at a time that is subsequent to a time in which the one of the data records is received.

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage medium, for predicting an outcome in response to a detected event. In one aspect, the method includes actions of maintaining a database of data records with a knowledge graph, receiving a stream of real-time data that includes data records, and from time-to-time as the real-time data is received: identifying a set of one or more attributes associated with a real-time event represented by one of the data records received, identifying a data record in the knowledge graph representing an event-outcome pair, determining that an event of the event-outcome pair has historically been associated with triggering an outcome of the event-outcome pair, and, executing a set of rules defining logic associated with the event-outcome pair specifying that the outcome will occur at a time that is subsequent to a time in which the one of the data records is received.