Chinese hedge scope detection method based on stacked neural network

Abstract

The invention discloses a Chinese hedge scope detection method based on a stacked neural network. The Chinese hedge scope detection method is characterized by comprising the following steps: carrying out word segmentation processing on sentences which contain hedges in a to-be-analyzed experimental corpus; carrying out syntactic parsing on the sentences after the word segmentation processing by employing a syntactic parser to obtain a phrase structure tree of the sentences; finding candidate phrases via a phrase-based candidate sample screening strategy, thereby determining boundary words of the candidate phrases, including left boundary words and right boundary words; respectively filtering the left and right boundary words as well as context information of the hedges by employing filtering windows; taking the left and right boundary words as well as the context information of the hedges as candidate sample word sequences and mapping to a real number vector space to convert into a word vector form; inputting a stacked learning model LSTM (Long Short Term Memory networks)-CNN (Convolutional Neural Network) based on a combination of the LSTM and the CNN for learning to obtain boundary classifiers; and carrying out classification on test data to obtain classification results of left and right boundaries.

Description

technical field [0001] The present invention relates to a Chinese fuzzy restriction of a layered deep learning model (LSTM-CNN) based on a combination of Long Short Term Memory networks (LSTM for short) and a convolutional neural network (CNN for short). Information range detection system. Involving patent classification number G06 Calculation; Calculation; Counting G06F Electrical digital data processing G06F17 / 00 Especially suitable for digital computing equipment or data processing equipment or data processing methods with specific functions. Background technique [0002] The term hedge was first proposed by G. Lakoff, which means "words that make things vague". Information guided by hedges is called hedged information. The detection of fuzzy and restricted information is to distinguish uncertain information from facts, avoid the interference of fuzzy information, and better identify and mine factual information. The research on fuzzy restricted information range detec...

AI Technical Summary

Problems solved by technology

But they did not explore the methods of multiple neural networks to effectively capture the deep semantic information of fuzzy restricted information

[0004] The detection task of fuzzy limited information range is relatively complex and has the characteristics of relying on semantics. It is difficult to mine the deep semantic information inside the language simply based on the traditional statistical machine learning model.

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