Method and device for taking temperature for extracting entities

A template and entity technology, applied in the field of information processing, can solve problems such as difficulty in grasping template generalization, increasing accuracy, and decreasing accuracy.
CN105677632AInactive Publication Date: 2016-06-15FUJITSU LTD
6 Cites 8 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
FUJITSU LTD
Publication Date
2016-06-15
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a method and device for taking temperature for extracting entities. The method for taking temperature for extracting entities comprises steps of creating reference tables in training corpus; taking candidate templates in training corpus based on reference tables; utilizing certified corpus to certificate the validity of candidate templates; adjusting relevant evaluation values of the reference tables according to the verification result; and determining candidate templates when the second pre-set condition is satisfied as the extracted templates. The reference tables comprise combinations of ordinary characters and meta-characters in accord with a first pre-set condition and corresponding valuation values.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present invention relates generally to the field of information processing. Specifically, the present invention relates to a method and device capable of automatically and well extracting templates for extracting entities. Background technique

[0002] In recent years, with the development of Internet technology and the popularity of personal smart devices, online text content on the Internet has grown exponentially. In order to effectively process a large amount of text content, automatic information extraction is required.

[0003] Correspondingly, information extraction technology has made great progress. Generally, information extraction techniques can be divided into feature-based information extraction techniques and rule-based information extraction techniques. Feature-based information extraction technology relies on a large number of complex features, and feature selection, corresponding model training, and feature calculation during ap...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More