Method and system for identifying event argument and argument role based on maximum entropy

An identification method and a technology of maximum entropy, applied in the field of identification methods and systems of event arguments and argument roles, and can solve problems such as establishment difficulties

Active Publication Date: 2015-07-29
SUZHOU UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of the matching results of this method is better, but the establishment of the model depends on the specific field and the environment of use, and it is difficult to establish

Method used

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  • Method and system for identifying event argument and argument role based on maximum entropy
  • Method and system for identifying event argument and argument role based on maximum entropy
  • Method and system for identifying event argument and argument role based on maximum entropy

Examples

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example 1

[0093] Example 1: Event: Saddam's clan is said to have left for a small village in the desert.

[0094] Entity information and argument information / "Place" class arguments: a small village

[0095] Feature expression: a_small_village DT_JJ_NN a DT GPE_Population-Center left_trigger Movement_Transport for_l1IN_l1left_l2VBN_l2in_r1IN_r1the_r2DT_r22right.

[0096] Optionally, said extracting event entity information to determine event argument candidates, and extracting event argument information may include:

[0097] Using ACE2005's definition of event arguments and related annotation information to extract event entity information and argument information, and determine event argument candidates through the entity information.

[0098] Among them, the entity information and argument information of the event are extracted, and then effective features are selected for entity extraction, including using the Stanford tool to extract part-of-speech information, and the word segme...

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Abstract

The invention discloses a method for identifying an event argument and an argument role based on maximum entropy. The method comprises the following steps of extracting the entity information of an event, so as to determine candidate options of the event argument and extract the argument information of the event; extracting the feature information of the candidate options of the event argument, and utilizing the feature information and the argument information to process data, so as to obtain an argument identifying corpus and an argument role identifying corpus; utilizing the argument identifying corpus to train a maximum entropy binary classifying model, so as to obtain the maximum entropy binary classifying model; utilizing the argument role identifying corpus to train a maximum entropy multi-element classifying model, so as to obtain the maximum entropy multi-element classifying model; utilizing the maximum entropy binary classifying model to identify the candidate options of the event argument in the event, so as to obtain the argument identifying result; utilizing the maximum entropy multi-element classifying model to identify the argument identifying result, so as to obtain the argument role identifying result. The method has the advantage that the identifying efficiency of the event argument and the argument role is improved. The invention also discloses a system for identifying the event argument and the argument role based on the maximum entropy.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a method and system for identifying event arguments and argument roles based on maximum entropy. Background technique [0002] Information extraction is a major means of automatically extracting information from text. Information extraction is to identify and extract unstructured text information according to people's needs, transform it into structured or semi-structured information, and store it in the form of a database for people to query and further analyze and use. Events are composed of event trigger words and elements describing the structure of events. Event Extraction is an important research direction of information extraction. ACE2005 defines the task of event extraction as event detection and recognition, that is, to identify specific types of events, and to determine and extract relevant information. Event arguments are an important component of events, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 李寿山朱珠周国栋
Owner SUZHOU UNIV
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