Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: Query restatements may be provided for explaining natural language query results. A natural language query is received at a natural language query processing system. An intermediate representation of the natural language query is generated for executing the natural language query. The intermediate representation is translated into a natural language restatement of the natural language query. The natural language restatement is provided with a result of the natural language query via an interface of the natural language query processing system.

Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: A data analysis system determines characteristics of a data set such as statistical measures, analytical insights, data trends, or relationships with other data sets. The system determines a level of importance for each determined characteristic using metadata associated with the data set, and, in some cases, user preferences provided by the user. Such metadata may include descriptive names, data types, and data characteristics of the data set and of data elements within the data set.

Abstract: A data analysis system determines a set of characteristics of a data set that is provided by a user. In various embodiments, individual characteristics may be statistical measures, analytical insights, data trends, or relationships with other data sets. The data analysis system selects a subset of the characteristics to be presented to the user. In an embodiment, the data analysis system determines a level of importance for each characteristic based at least in part on metadata associated with the data set, and in some embodiments, user preferences provided by the user. In an embodiment, the metadata includes descriptive names, data types, and data characteristics of the data set and of data elements within the data set.

Abstract: A data analysis system provides data analytics to a user via a natural language interface. In various embodiments, the data analysis system identifies statistical measures, analytical insights, data trends, or relationships with other data sets, based at least in part on a natural language query provided by a user. In an embodiment, the data analysis system interprets the natural language query to produce a result, and the result is converted into a natural language result which is provided to the user. In an embodiment, the data analysis system acquires an audio stream of a conversation. In an embodiment, the data analysis system identifies the parties to the conversation, and further identifies datasets of the parties. In an embodiment, the data analysis system identifies a characteristic of the datasets that is relevant to the conversation, and provides the characteristic to the parties.