Abstract: An opinion aggregation apparatus 100 includes: a first determining unit 10 which determines whether an input sentence is a declarative sentence or an interrogative sentence; a first generating unit 20 which generates, when the input sentence is the declarative sentence, first text data being the input sentence converted into an interrogative sentence; a second generating unit 30 which generates, when the input sentence is the interrogative sentence, second text data being a simple answer to the input sentence; a storage unit 120 which stores a chat text database including a plurality of pieces of chat text data; a calculating unit 40 which calculates a first score indicating sentence continuity between the first text data and the chat text data or a second score indicating sentence continuity between the chat text data and the second text data; and a second determining unit 50 which outputs, when the first score or the second score is equal to or higher than a threshold, the chat text data with the first scor

Abstract: To enable provision of appropriate information for a user query even in a case there are multiple information provision modules which are different in answer generation processing. A query sending unit 212 sends a user query to each one of a plurality of information provision module units 220 that are different in the answer generation processing and that each generate an answer candidate for the user query. An output control unit 214 performs control such that the answer candidate acquired from each one of the plurality of information provision module units 220 is displayed on a display unit 300 on a per-agent basis with information on an agent associated with that information provision module unit 220.

Abstract: A structured text processing learning apparatus includes a memory, and a processor configured to: analyze a structure of structured text, extract, from the structured text, information related to a predetermined structure to be extracted based on the structure, generate a converted document including text data in which each string indicating a structure of the extracted information has been converted, in accordance with the structure related to the extracted information, and train a neural network for executing predetermined processing for the converted document, using, as input, the generated converted document and correct answer information for performing the predetermined processing. Thus, application of a neural network to structured text is facilitated.

Abstract: A structured text processing apparatus includes one or more computers each including a memory and a processor configured to analyze a tree structure of a structured text; specify, for each leaf node in the tree structure, a path from the leaf node to a root node; and generate a converted text including text data in which strings associated with respective nodes from the root node to the leaf node of each path are connected to each other.

Abstract: To enable provision of appropriate information for a user query even in a case there are multiple information provision modules which are different in answer generation processing. A query sending unit 212 sends a user query to each one of a plurality of information provision module units 220 that are different in the answer generation processing and that each generate an answer candidate for the user query. An output control unit 214 performs control such that the answer candidate acquired from each one of the plurality of information provision module units 220 is displayed on a display unit 300 on a per-agent basis with information on an agent associated with that information provision module unit 220.