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Method and system for processing information facing question answering robot

An information processing method and robot technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems that affect the user experience effect, the answer is not intuitive enough, the content is not rich enough, etc., to achieve rich content and improve user experience , Rich media information accurate effect

Inactive Publication Date: 2016-10-12
BEIJING GUANGNIAN WUXIAN SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the answers related to the questions output by the traditional question-and-answer robot are not intuitive enough, and the content is not rich enough, which seriously affects the user experience effect

Method used

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  • Method and system for processing information facing question answering robot
  • Method and system for processing information facing question answering robot

Examples

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Embodiment 1

[0052] figure 1 A schematic flowchart of an information processing method oriented to a question answering robot according to an embodiment of the present invention is shown. Such as figure 1 As shown, the information processing method for the question answering robot in the embodiment of the present invention mainly includes steps 101 to 104 .

[0053] In step 101, question information input by a user is received.

[0054] Specifically, first, the front-end module acquires voice information or text information input by the user, and the front-end module preprocesses the acquired information (for example, speech recognition processing, etc.) to obtain question information in text format. Then the front-end module sends the obtained question information to the question answering robot.

[0055] In step 102, semantic analysis is performed on the question information to obtain a semantic analysis result.

[0056]Specifically, the Q&A robot performs semantic analysis on the re...

Embodiment 2

[0064] In this embodiment, on the basis of the first embodiment, the semantic analysis result is further limited, and the step of extracting rich media information from multimedia (that is, step 103 ) is further optimized.

[0065] In this embodiment, the semantic analysis result is a semantic set corresponding to the question information. For example, the semantic analysis of the above question "I want to listen to my father" is carried out, and the result of the semantic analysis is the following set of semantics (ie semantic set): I want my father, my father speaks, I listen to my father, my father wants to speak, and Dad's voice.

[0066] figure 2 A schematic flowchart of a method for extracting rich media information from a multimedia knowledge base in an embodiment of the present invention is shown. Such as figure 2 As shown, the method for extracting rich media information in the multimedia knowledge base that matches the semantic analysis result in the embodiment ...

Embodiment 3

[0080] In this embodiment, on the basis of the first or second embodiment above, the method for determining the target semantics from the semantic set is further optimized.

[0081] image 3 A schematic flowchart of a method for determining target semantics from a semantic set in an embodiment of the present invention is shown. Such as image 3 As shown, the method for determining target semantics from a semantic set in this embodiment of the present invention mainly includes step 301 and step 302 .

[0082] In step 301, the semantics with the highest similarity to the question information in the current semantic set are calculated.

[0083] In step 302, the calculated semantics are determined as target semantics.

[0084] Specifically, this embodiment adopts a semantic similarity method to determine a target semantic from a semantic set containing multiple semantics, and the target semantic is the semantic with the highest similarity to the question information input by th...

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Abstract

The invention discloses a method and a system for processing information facing a question answering robot. The method comprises: receiving question information input by a user; performing semantic parsing on the question information, to obtain a semantic parsing result; extracting rich media information which is in a multimedia knowledge base and is matched with the semantic parsing result; and outputting the rich media information. According to the question information input by a user, the corresponding rich media information is extracted from multimedia information and is output, so as to solve problems that character answering information output by an existing question answering robot is not intuitive enough, and content is not rich enough, and user experience effect is not good enough, so that the rich media information fed back to the user is more accurate and more intuitive, and content is more enriched, and use experience of the user is greatly improved, and requirement of the user on information acquisition visualization is satisfied.

Description

technical field [0001] The invention relates to the technical field of intelligent robots, in particular to an information processing method oriented to a question-answering robot, and also to an information processing system oriented to a question-answering robot. Background technique [0002] Question answering bots are an advanced form of information retrieval systems. It can answer questions raised by users in natural language in accurate and concise natural language. The main reason for the rise of its research is people's demand for fast and accurate access to information. [0003] At present, research on question-answering robots is still focused on text information, and both questions and answers are expressed in text information. Specifically, the question-answering robot usually extracts the text-formatted answer to the question input by the user from the traditional knowledge base, and then outputs the answer. [0004] It can be seen that the existing question-...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/90332
Inventor 孙永超
Owner BEIJING GUANGNIAN WUXIAN SCI & TECH
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