Yongjin Hu1, Yuanbo Guo1, Junxiu Liu2, Han Zhang3, *
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1297-1315, 2020, DOI:10.32604/cmc.2020.010855
Abstract In the field of information security, a gap exists in the study of coreference
resolution of entities. A hybrid method is proposed to solve the problem of coreference
resolution in information security. The work consists of two parts: the first extracts all
candidates (including noun phrases, pronouns, entities, and nested phrases) from a given
document and classifies them; the second is coreference resolution of the selected
candidates. In the first part, a method combining rules with a deep learning model
(Dictionary BiLSTM-Attention-CRF, or DBAC) is proposed to extract all candidates in
the text and classify them. In the DBAC model,… More >
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