Text abstract generation method and device, computer equipment and storage medium
A summary and text technology, applied in the field of natural language processing, can solve the problem of low accuracy
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Embodiment 1
[0045] continue to refer to figure 2 , which shows a flow chart of the implementation of the method for generating a text abstract by merging entity information provided in Embodiment 1 of the present application. For the convenience of description, only the part related to the present application is shown.
[0046] The above-mentioned method for generating text summaries fused with entity information includes the following steps:
[0047] Step S201: Acquire raw text data to be processed.
[0048] Step S202: Perform entity extraction on the original text data to obtain entity text data and entity type data.
[0049] Step S203: Perform a first fusion operation on entity text data and entity type data to obtain entity fusion data.
[0050] In the embodiments of this application, refer to image 3 , showing a schematic structural diagram of the Encoder module provided by the embodiment of the present application, and it is assumed that the original text that needs to extract ...
Embodiment 2
[0099] further reference Figure 7 , as a response to the above figure 2 For the implementation of the method shown, the present application provides an embodiment of a text abstract generating device that integrates entity information, and the device embodiment is the same as figure 2 Corresponding to the method embodiments shown, the apparatus can be specifically applied to various electronic devices.
[0100] like Figure 7 As shown, the apparatus 200 for generating text abstracts fused with entity information in this embodiment includes: a data acquisition module 210 , an entity extraction module 220 , a first fusion module 230 , a vector conversion module 240 , a digest encoding module 250 and a digest decoding module 260 . in:
[0101] a data acquisition module 210, configured to acquire raw text data to be processed;
[0102] The entity extraction module 220 is used to perform entity extraction operation on the original text data to obtain entity text data and ent...
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