DOCUMENT SEARCH DEVICE AND DOCUMENT SEARCH METHOD

• US 20150112683A1
• Filed: 12/27/2012
• Published: 04/23/2015
• Est. Priority Date: 03/13/2012
• Status: Abandoned Application

• Current Assignee: Mitsubishi Electric Corporation
• Original Assignee: Mitsubishi Electric Corporation
• Inventors: Ishii, Jun, Fujii, Yoichi
• Application Number:
  US14/364,174
• Publication Number:
  US 20150112683A1
• Time in Patent Office: Days
• US Class Current: 704/254
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding

Abstract

An utterance content estimator estimates a document ID corresponding to an answer to user input analysis results from a document on the basis of an utterance estimating model that is generated by learning a correspondence between hypothetical questions each as to a content of the document and document IDs each of which is an answer to one of the hypothetical questions. A result integrator integrates document estimation results of the utterance estimating model and document search results of search indexes so as to generate final search results.

Claims

1. A document search device including search indexes generated from a document which is prepared in advance, and a document searcher that receives an input from a user and searches through said document for an item associated with said user input by using said search indexes, said document search device comprising:

an utterance estimating model that is generated by learning a correspondence between hypothetical questions each as to a content of said document and items in said document each of which is an answer to one of said hypothetical questions;

an utterance content estimator that estimates an item corresponding to an answer to said user input from said document on a basis of said utterance estimating model; and

a result integrator that integrates document search results acquired from said document searcher and document estimation results acquired from said utterance content estimator so as to generate final search results.

2. The document search device according to claim 1, wherein said utterance content estimator adds a score according to a degree of association with said user input to the estimated item in said document, and, when a score in the document estimation results acquired from said utterance content estimator is larger than a predetermined value, said result integrator neglects the document search results acquired from said document searcher and generates the final search results.

3. The document search device according to claim 1, wherein said document searcher adds a score according to a degree of association with said user input to the searched-for item in said document, said utterance content estimator adds a score according to a degree of association with said user input to the estimated item in said document, and said result integrator integrates the document search results acquired from said document searcher and the document estimation results acquired from said utterance content estimator by adding the score in the document search results and the score in the document estimation results with a fixed ratio.

4. The document search device according to claim 1, wherein said document search device includes a search target limiter that extracts an item satisfying a predetermined criterion from the document estimation results acquired from said utterance content estimator, said utterance content estimator carries out the estimation on a basis of an utterance estimating model that is generated by learning a correspondence between items which are larger than a smallest unit for search using said search indexes, and said hypothetical questions, and said result integrator integrates an item extracted by said search target limiter from the document estimation results acquired from said utterance content estimator with the document search results acquired from said document searcher.

5. The document search device according to claim 1, wherein said document search device includes an input analyzer that analyzes the document prepared in advance and collected utterance data in which the correspondence between the hypothetical questions each as to a content of said document and the items in said document each of which is an answer to one of said hypothetical questions is defined, a search index generator that generates said search indexes from results of the analysis of said document outputted from said input analyzer, and an utterance estimating model generator that learns the correspondence between said hypothetical questions and the items in said document by using results of the analysis of said collected utterance data outputted from said input analyzer so as to generate said utterance estimating model.

6. A document search method comprising:

a user input step of accepting an input from a user;

a document searching step of searching through said document for an item associated with said user input by using search indexes generated from a document which is prepared in advance;

an utterance content estimating step of estimating an item corresponding to an answer to said user input from said document on a basis of an utterance estimating model that is generated by learning a correspondence between hypothetical questions each as to a content of said document and items in said document each of which is an answer to one of said hypothetical questions; and

a result integrating step of integrating document search results acquired from said document searching step and document estimation results acquired from said utterance content estimating step so as to generate final search results.