Title generation method and device, electronic device and storage medium
A technology for generating devices and titles, which is applied in the fields of digital data processing, character and pattern recognition, instruments, etc., can solve problems such as affecting article distribution and user benefits, affecting the ecological quality of content, and inaccurate semantics, achieving high reliability, Avoid the effect of incoherent sentences and accurate semantics
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[0084] As an exemplary implementation, such as figure 1 As shown, the embodiment of this application provides a title generation method, including:
[0085] Step S101, input the text to be processed into the language generation model, and obtain multiple candidate titles corresponding to the text to be processed and their probabilities.
[0086] In the embodiment of the present application, the language generation model may include any model capable of generating some candidate texts and their probabilities according to the text to be processed, and the candidate texts may be used as candidate titles of the text to be processed. For example, a language generation model can be a seq2seq model, a sequence-to-sequence model. The seq2seq model includes an encoder (encoder) and a decoder (decoder). The text to be processed is input into the encoder, and the encoder outputs an intermediate semantic vector as the input of the decoder. The decoder can use various algorithms to searc...
example 1
[0135] Example 1. A Pointer-generate (pointer generation network) mechanism can be added to solve the OOV problem and the problem that the generated title is not accurate in describing the text details.
example 2
[0136] Example 2. A coverage (coverage) mechanism or an intra-attention (internal attention) mechanism can be added to solve the problem of overlapping words in the title.
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