work history information extraction method based on a double-layer BiLSTM-CRF
A technology of information extraction and work, applied in neural learning methods, digital data information retrieval, instruments, etc., can solve the problem of low extraction rate, and achieve the effect of improving extraction performance, enriching entity information, and good presentation effect.
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Embodiment 1
[0071] A method for extracting work history information based on a two-layer BiLSTM-CRF provided in this embodiment, such as figure 1 , including the following steps:
[0072] S1: Preprocessing of work history information;
[0073] S2: Split the work history information into work history according to time, and preprocess the work history;
[0074] S3: Use the two-layer BiLSTM-CRF model to extract the information entities of work experience;
[0075] S4: further processing the information entity extracted in S3;
[0076] S5: Organize information.
[0077] The preprocessing of work history information in step S1 includes extracting information other than work location, organizational department and position.
[0078] The work experience in step S2 is a sentence including the work location, organizational department and position.
[0079] The double-layer BiLSTM-CRF model in step S3, such as image 3 As shown, specifically:
[0080] Including the first BiLSTM-CRF model and...
Embodiment 2
[0130] A system for extracting work history information based on a two-layer BiLSTM-CRF provided in this embodiment, such as Figure 4 , including preprocessing module, extraction module, disambiguation module, association module and perfection module, among which:
[0131] The preprocessing module completes the preprocessing of the work history information, splits the work history information into work experience according to time, and preprocesses the work history, and its output terminal is connected to the input terminal of the extraction module;
[0132] The extraction module uses the double-layer BiLSTM-CRF model to extract the information entity of the work experience, and its output is connected to the input of the disambiguation module;
[0133] The disambiguation module completes the calculation of the information entity using the disambiguation algorithm, modifies the entity, and its output terminal is connected to the input terminal of the association module;
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