Event extraction method based on multi-task learning
An event extraction and event technology, applied in computer parts, text database query, unstructured text data retrieval, etc., can solve the problem of ignoring correlation, avoid error transmission and reduce the amount of memory occupied
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[0062] figure 2 is the overall flow chart of the present invention; such as figure 2 As shown, the present invention comprises the following steps:
[0063] Step 1: Build an event extraction system. The event extraction system consists of client, negative sample database, event screening module, feature extraction module, event classification module, event trigger word and argument extraction module and event information integrator.
[0064] The client is connected with the event screening module and the event information integrator, and sends the event text X input by the user into the event screening module and the event information integrator.
[0065] The negative sample database stores the text collection obtained from the Internet and other channels, including P texts, where P is a positive integer and P>3000, and is connected to the event screening module. The negative sample database is read by the event screening module. The text set in the negative sample databas...
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