| CPC G06F 40/289 (2020.01) | 20 Claims |
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1. A method, comprising:
receiving, at a device, an input text;
identifying, from the input text, first and second independent contexts without a common bounding word;
for each of the independent contexts, generating top k phrases by:
obtaining a plurality of initial phrases based on one or more linguistic features,
filtering the plurality of initial phrases to generate a plurality of filtered candidate phrases,
computing phrase features for each of the plurality of filtered candidate phrases, and
identifying the top k phrases from the plurality of filtered candidate phrases based on their respective phrase features;
selecting, for each of the independent contexts, a most insightful phrase from the top k phrases for the independent context based on an artificial neural network that integrates diverse phrase selection models established based on different types of phrase features; and
facilitating an understanding of the input text based on the selected one or more most insightful phrases.
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