[Purpose/Significance] Concepts in scientific and technical literatures are highly condensed expressions of knowledge in the literatures and usually appear in scientific and technical literatures in the form of definition sentences. Automatic extraction of concepts from concept definition sentences is an important research topic in scientific and technical literature mining. [Method/Process] By analyzing the structure, syntax and other pattern features of concept definition sentences, this paper proposed a corpus construction scheme based on WCL dataset, and used BERT+BiLSTM+CRF model to learn concept definition sentence patterns to achieve concept phrase extraction. [Result/Conclusion] Based on the previous study of the characteristics of concept definition sentence pattern, this paper creatively proposes the composition pattern to learn concept definition sentences based on sequence labeling, to realize the extraction of concept phrases. Through the BERT+BiLSTM+CRF model, the pattern features such as contextual semantics, sentence structure and constituent term distribution in concept definition sentences are effectively learned to achieve the extraction of concept phrases in definition sentences.
Li Xuesi
,
Zhang Zhixiong
,
Liu Huan
. A Method for Extracting Concept Phrases Based on Sequence Labeling[J]. Library and Information Service, 2022
, 66(11)
: 121
-128
.
DOI: 10.13266/j.issn.0252-3116.2022.11.013
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