Wuqian Lv1, Zhifang Liao1,*, Shengzong Liu2, Yan Zhang3
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1027-1042, 2021, DOI:10.32604/cmc.2020.012478
- 30 October 2020
Abstract Entity recognition and extraction are the foundations of knowledge
graph construction. Entity data in the field of software engineering come from different platforms and communities, and have different formats. This paper divides
multi-source software knowledge entities into unstructured data, semi-structured
data and code data. For these different types of data, Bi-directional Long ShortTerm Memory (Bi-LSTM) with Conditional Random Field (CRF), template
matching, and abstract syntax tree are used and integrated into a multi-source software knowledge entity extraction integration model (MEIM) to extract software
entities. The model can be updated continuously based on user’s feedbacks to More >
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