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Event identification method and system based on probability soft logic PSL

A recognition method and soft logic technology, applied in character and pattern recognition, computer components, special data processing applications, etc., can solve problems such as ignoring global information, and achieve improved recognition accuracy, accurate and reliable event recognition, and accurate clustering Effect

Active Publication Date: 2015-09-02
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

However, due to the limitations of classifiers, traditional techniques almost only utilize local information near candidate words, ignoring global information at the text level and corpus level, which are crucial for event recognition

Method used

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  • Event identification method and system based on probability soft logic PSL
  • Event identification method and system based on probability soft logic PSL
  • Event identification method and system based on probability soft logic PSL

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Experimental program
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Embodiment 2

[0056] figure 1 It is a flow chart of Embodiment 1 of the event recognition method based on probabilistic soft logic PSL of the present invention, image 3 It is a schematic flow chart of the second embodiment of the event recognition method based on probabilistic soft logic PSL of the present invention; as figure 1 and image 3 As shown, S2012-S2017 in Embodiment 2 of the event recognition method based on probabilistic soft logic PSL of the present invention is the same as S1011-1016 in Embodiment 1, and S202 is the same as S102. The difference is that S2011 is also included, that is, this S201 in Embodiment 2 of the event recognition method based on probabilistic soft logic PSL of the invention includes:

[0057] S2011. Obtain candidate high-dimensional category information; here, clustering technology is used to mine high-dimensional information on all thesaurus data sets, and subsequent feature extraction steps will use these high-dimensional information to construct fea...

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Abstract

The invention provides an event identification method and an event identification system based on probability soft logic PSL. The method comprises the following steps: calculating a conditional probability of at least a candidate and an event, and a candidate and a subject, an event and a subject appeared in at least a same file and / or a same sentence, and at least one of two different candidates or two different events; setting corresponding variables respectively for different conditional probabilities in a PSL model, designing a variable formula of the PSL model and iterating based on the variable formula of the PSL model, thereby maximizing the variables corresponding to the conditional probabilities of the candidates and the events, obtaining corresponding specific events of the candidates under the maximum conditions, and constructing an event identification model. The provided method can increase the accuracy in the event identification.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, in particular to an event recognition method and system based on probabilistic soft logic PSL. Background technique [0002] With the vigorous development of the Internet and the increasing popularity of network communication terminals, people are exposed to massive amounts of information in various fields every day, such as news in military, sports, entertainment and other fields. How to find interesting events from these disordered, messy and unstructured mass information has become an urgent problem to be solved, and event identification (Event Identification) technology is a powerful means to solve this problem. Event recognition is an independent subtask of Event Extraction (Event Extraction), which mainly studies how to identify events and their types that users are interested in from unstructured text containing event information. [0003] Event recognition is a subtas...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06K9/62
Inventor 刘康赵军徐立恒刘树林
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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