Behavior knowledge extracting method and device combining reasoning and semi-automatic learning

A technology of knowledge extraction and behavior, applied in the field of behavior knowledge extraction of reasoning and semi-automatic learning, which can solve the problems of ignoring relationship extraction between behaviors and inefficiency.

Inactive Publication Date: 2013-12-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

The previous behavioral knowledge extraction methods mainly have the following shortcomings: (1) they need a large amount of manually labeled corpus or completely rely on manual construction of extraction templates, resulting in low efficiency; (2) only extract behavioral premise and result knowledge, ignoring the behavior The extracti

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  • Behavior knowledge extracting method and device combining reasoning and semi-automatic learning
  • Behavior knowledge extracting method and device combining reasoning and semi-automatic learning
  • Behavior knowledge extracting method and device combining reasoning and semi-automatic learning

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0046] figure 1 The flow chart of the method for extracting behavioral knowledge combined with reasoning and semi-automatic learning in the present invention is shown. like figure 1 As shown, the method includes the following steps:

[0047] S1. Bootstrapping steps based on statistical correlation and semantic similarity.

[0048] This step specifically refers to: using the co-occurrence relationship and semantic related information between templates and behavioral knowledge to calculate the statistical correlation between candidate templates and behavioral knowledge sets, between candidate behavioral knowledge and template sets, and the relationship between candidate behavioral knowledge and Semantic similarity betwee...

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Abstract

The invention provides a behavior knowledge extracting method and device combining reasoning and semi-automatic learning. Aiming at massive open source texts, a small amount of behavior knowledge extracting models and semantic relation among behavior knowledge are utilized to incrementally obtain behavior premises, behavior results and time sequence relations among behaviors from texts. The behavior premises, the behavior results and the time sequence relations among behaviors are respectively obtained on the basis of Bootstrapping, and on the basis of the semantic relation among behavior knowledge, knowledge reasoning is used in Bootstrapping for knowledge extracting. By the method, behavior knowledge extracting efficiency and quality are increased, automatic behavior modeling and analyzing aiming at massive texts in different fields can be achieved.

Description

technical field [0001] The invention belongs to the technical field of computer science, and specifically relates to a method and device for extracting behavior knowledge based on a small amount of initial behavior knowledge extraction templates combined with reasoning and semi-automatic learning, and is used for incrementally acquiring behavior knowledge from massive texts. Background technique [0002] Behavior knowledge is a very important type of knowledge, which has very important applications in many fields involving behavior modeling, analysis and prediction. With the development and popularization of Internet technology, massive texts accumulated on the Internet bring data support to the work of behavioral knowledge acquisition, but also pose severe technical challenges. [0003] Previous work on behavioral knowledge extraction generally used methods based on supervised learning or manual rules. Representative works include: Sil et al. ("Extracting action and event s...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 毛文吉曾大军葛安生孔庆超王磊
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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