Abstract: Apparatus and methods related to de-identifying data are provided. An example method includes receiving, by a computing device, input data comprising text. The method further includes applying a neural network to a tokenized representation of the input text, to generate an embedding based on contextual information associated with an entity. The method also includes predicting, by the neural network and based on the embedding, whether the input data comprises protected data in the text, wherein the neural network has been trained on a training dataset that has been partially customized based on the entity. The method further includes de-identifying the protected data in the text upon a determination that the input data comprises protected data in the text.

Abstract: Methods, systems, and apparatus, including computer program products, for refining search queries. In one implementation, a method includes obtaining a submitted search query, and in response to obtaining the search query: obtaining search results responsive to the search query; selecting a document from a group of documents identified by the search results; generating from a subset of one or more entities associated with the document one or more candidates for refined search queries, including: identifying one or more terms in the search query, where the one or more terms occur in the search query in a particular order relative to each other, and combining the one or more terms with the entity to generate a candidate, where the one or more terms occur in the particular order relative to each other; and identifying one or more of the candidates as being refined search queries for providing with the search results.

Abstract: Methods, systems, and apparatus, including computer program products, for refining search queries. In one implementation, a method includes obtaining a submitted search query, and in response to obtaining the search query: obtaining search results responsive to the search query; selecting a document from a group of documents identified by the search results; generating from a subset of one or more entities associated with the document one or more candidates for refined search queries, including: identifying one or more terms in the search query, where the one or more terms occur in the search query in a particular order relative to each other, and combining the one or more terms with the entity to generate a candidate, where the one or more terms occur in the particular order relative to each other; and identifying one or more of the candidates as being refined search queries for providing with the search results.

Abstract: Systems and methods for splitting a network traffic flow in a data network are described. A flow of traffic between a source node and a destination node in the data network is split into a set of data paths. A data path includes one or more data links between nodes in the data network. A submap of the data network that excludes at least one data link is used to determine the set of flow paths.

Abstract: Systems and methods for splitting a network traffic flow in a data network are described. A flow of traffic between a source node and a destination node in the data network is split into a set of data paths. A data path includes one or more data links between nodes in the data network. A submap of the data network that excludes at least one data link is used to determine the set of flow paths.

Abstract: Methods, systems, and apparatus, including computer program products, for refining search queries. In one implementation, a method includes obtaining a submitted search query, and in response to obtaining the search query: obtaining search results responsive to the search query; selecting a document from a group of documents identified by the search results; generating from a subset of one or more entities associated with the document one or more candidates for refined search queries, including: identifying one or more terms in the search query, where the one or more terms occur in the search query in a particular order relative to each other, and combining the one or more terms with the entity to generate a candidate, where the one or more terms occur in the particular order relative to each other; and identifying one or more of the candidates as being refined search queries for providing with the search results.