Concept relation label drawing method based on semantic co-occurrence model

A concept relationship and labeling technology, applied in the field of semantic network, can solve problems such as complex and changeable pragmatic habits, achieve the effect of improving accuracy and recall rate, and realizing automatic extraction

Inactive Publication Date: 2012-10-24
BEIHANG UNIV
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Problems solved by technology

However, due to the complex and changeable Chinese syntactic structure and pragmatic habits, the automatic extraction of concept relationship labels is still one of the unresolved problems.

Method used

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  • Concept relation label drawing method based on semantic co-occurrence model
  • Concept relation label drawing method based on semantic co-occurrence model
  • Concept relation label drawing method based on semantic co-occurrence model

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Embodiment Construction

[0046] Concept co-occurrence means that in document paragraphs, there is a certain relationship between frequently co-occurring concepts with a relatively high probability. In the habit of using natural language, the active-object structure is often used to express the relationship between concepts, for example: "The white rabbit likes to eat carrots", "The teacher nurtures the students" and so on. Therefore, characteristic verbs that can express the relationship between co-occurring concepts often also co-occur with related concepts. Through the part-of-speech analysis of the co-occurrence of concepts, the verb features accompanying concept co-occurrence can be mined to form co-occurrence triples of concept relations. The resulting verb features can largely represent the co-occurrence of concepts relationship between.

[0047] Generic relationship is a very important kind of conceptual relationship. It constitutes a hierarchical category of concepts, which provides great co...

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Abstract

The invention discloses a concept relation label drawing method based on a semantic co-occurrence model. The concept relation label drawing method includes obtaining co-occurrence context phrase of a concept relation pair through inverted searching with offset in a relation label drawing process based on the semantic co-occurrence model; obtaining a candidate relation label by combining shallow parsing and weighting word window filtering; and choosing a cluster label largest in weight after semantic relativity cluster is performed to serve as a concept relation label. By means of the concept relation label drawing method based on the semantic co-occurrence model, accuracy rate and recalling rate of concept relation drawing are improved, automatic drawing of few and scattered semantic relation concept relation labels among large number of concepts is achieved, and quality of concept label drawing is improved.

Description

technical field [0001] The invention relates to a method for extracting concept relationship labels, in particular to a method for extracting concept relationship labels based on a semantic co-occurrence model, which belongs to the technical field of semantic networks. Background technique [0002] In the current information society, the Internet is undoubtedly the largest carrier of data. The hypertext information associated with hyperlinks is increasing day by day, forming an information network world, which has completely changed the way modern humans work and live. With the development of computing technology, information technology and the Internet, people have higher requirements for text information processing, mining and discovering conceptual entities (such as institutions, people, time, places, etc.) from texts described in natural language, and The relationship between concepts (such as "person" working in "institution", "person" graduated from "location", etc.) i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 张辉赵元浩胡红萍马永星
Owner BEIHANG UNIV
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