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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

A Semantic Level Matching Method for Unstructured Documents

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DOI: 10.25236/iccem.2021.044

Author(s)

Liu Hai, Chen Xiaoming

Corresponding Author

Liu Hai

Abstract

This paper proposes a text semantic matching model, designs multiple features for text matching from word level, phrase level, sentence level and semantic level, and uses ranking learning method to fuse features. Experiments are carried out to verify the performance of the proposed method in text matching and real scene human-computer dialogue tasks. Experiments show that the multi granularity text semantic matching model can achieve high accuracy in text matching task, and has good domain migration ability.

Keywords

Semantic matching, Unstructured, Multi granularity