Preposition phrase identification method based on multi-model advantage complementation strategy

A recognition method and multi-model technology, applied in natural language data processing, special data processing applications, instruments, etc., can solve the problems of prepositional phrase recognition method, prepositional phrase classification, etc., to reduce the accumulation of errors and improve the effect of recognition.

Inactive Publication Date: 2018-02-27
SHENYANG AEROSPACE UNIVERSITY
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Problems solved by technology

[0005] In view of the prepositional phrase recognition method based on machine learning in the prior art, the prepositional phrase is not classified according to the context features, resulting in all categories using the same statistical model to identify and

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  • Preposition phrase identification method based on multi-model advantage complementation strategy
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  • Preposition phrase identification method based on multi-model advantage complementation strategy

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[0030] The present invention will be further described below in conjunction with the accompanying drawings of the specification.

[0031] Such as figure 1 As shown, the present invention is a prepositional phrase recognition method based on a multi-model advantage complementation strategy. Based on a full analysis of the prepositional phrase (PP), a multi-model advantage complementation strategy is proposed to identify PP based on the characteristics of the preposition phrase. It includes the following steps:

[0032] 1) Categorize prepositional phrases, classify prepositions based on contextual features, analyze and summarize the features of prepositional phrases, analyze and summarize the features of prepositional phrases, and obtain location features corresponding to different categories;

[0033] 2) Choose different feature combinations for different categories, use conditional random field models to recognize prepositional phrases, and select training corpus features;

[0034] 3)...

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Abstract

The invention relates to a preposition phrase identification method based on a multi-model advantage complementation strategy. The method includes the following steps of classifying preposition phrases, classifying prepositions according to the characters of contexts, and conducting analysis and summary on the preposition phrases according to the sentence constituents and position characters of the preposition phrases to obtain position characters corresponding to different types; selecting different position character combinations according to different types, adopting a conditional random field model to identify the preposition phrases, and selecting training corpus characters; according to the selected training corpus characters, training multiple preposition phrase identification models, combining the identification results of each preposition in sentences, and obtaining a final result. According to the characters of the prepositions and the prepositional phases, a prepositional phase identification strategy based on multi-model advantage complementation is put forwards; through a 10-fold cross validation method and a contrast experiment, the effectiveness and applicability ofthe method are proved, and the identification effect on the preposition phrases is further improved.

Description

technical field [0001] The invention relates to a natural language processing technology, in particular to a prepositional phrase recognition method based on a multi-model complementary strategy. Background technique [0002] Prepositions belong to function words and are a relatively closed class. A preposition table is listed in "Detailed Explanation of Modern Chinese Grammatical Information Dictionary" edited by Yu Shiwen of Peking University [1], and there are 85 prepositions in the table. A preposition phrase (Preposition Phrase, hereinafter referred to as PP) consists of two parts: the front part is a preposition, and the latter part is a content word or phrase combined with the preposition. According to the composition of PP, the left boundary of PP must be a preposition, so the recognition of prepositional phrases mainly focuses on the determination of the right boundary. The purpose of PP is mainly to make attributives, adverbials, and complements in sentences [2], ...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/284G06F40/289
Inventor 周俏丽
Owner SHENYANG AEROSPACE UNIVERSITY
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