Event time sequence relation identification method fusing dependency relation and chapter rhetoric relation

A technology of dependencies and time series relationships, applied in special data processing applications, instruments, unstructured text data retrieval, etc., and can solve problems such as missing information

Active Publication Date: 2019-07-30
SUZHOU UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This does not bring direct information to the inter-sentence event to the dependency path, but violently superimposes the two dependency paths, and there is a problem of missing information

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Event time sequence relation identification method fusing dependency relation and chapter rhetoric relation
  • Event time sequence relation identification method fusing dependency relation and chapter rhetoric relation
  • Event time sequence relation identification method fusing dependency relation and chapter rhetoric relation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0051] figure 2 It is a model diagram of event temporal relationship recognition proposed by integrating dependency relationship and discourse rhetorical relationship. The model is mainly divided into two parts: the left side corresponds to the dependency path sequence of event pairs in the input layer; the right module corresponds to the discourse rhetorical relationship sequence in the input layer, and processes the discourse relationship between events; the top of the model is The fully connected layer used for temporal relationship classification, the input is a vector concatenated from the output of the left and right parts.

[0052] Dependency module given event pair e 1 ...

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

PUM

No PUM Login to view more

Abstract

The invention discloses an event time sequence relation identification method fusing a dependency relation and a chapter rhetoric relation. The method is characterized by comprising the following steps of giving event pairs e1 and e2, and extracting the aspect of a shortest dependency path; in consideration of a complex syntax structure of the dependency syntax tree, adding a heuristic rule to enrich event related information; adding the child nodes into the dependency path, and finally sorting the extracted words according to the sequence of event sentences; and enabling the obtained event pair dependency path to pass through an embedded layer, a bidirectional LSTM layer and a hidden layer according to the same processing method as the reference model to obtain a vector representation Y'.The method has the beneficial effect that the information codes of the chapter tree are added into the model, the incidence relation between events is characterized by being divided into two parts: one part is dependency path information of sentences where the events are located.

Description

technical field [0001] The invention relates to the field of language processing, in particular to a method for identifying event time-series relationships that integrates dependency relationships and discourse rhetorical relationships. Background technique [0002] The temporal relationship of events generally exists among events, and it refers to the time sequence of events described in the text, which is a natural connection of event information units. The recognition of temporal relationships between events is actually a basic research at the semantic level, which is of great significance to tasks such as story timeline construction, automatic question answering, text summarization, and information extraction. For example, in the sentence "Finally today, we learned that the space agency has finally taken giant leap forward.", the event "learned" occurred after the event "taken", so the temporal relationship between them is "AFTER". [0003] In terms of Chinese temporal ...

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

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/31G06F17/27
CPCG06F16/35G06F16/322G06F40/211
Inventor 孔芳戴倩雯周国栋
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap