CPC G06F 16/243 (2019.01) [G06F 40/40 (2020.01); G06N 3/08 (2013.01); H04L 51/02 (2013.01)] | 19 Claims |
1. A method comprising:
embedding an input phrase comprising a natural language query and a candidate answer from a set of candidate answers into an embedding space to obtain an embedded input phrase;
identifying a plurality of meta-evidence nodes in the embedding space based on the embedded input phrase, wherein each of the plurality of meta-evidence nodes represents a cluster of points in the embedding space, and wherein each point in the cluster of points is an embedding of a training example that includes a training query and a ground truth answer;
generating a support vector for the input phrase, wherein the support vector comprises a weighted sum of the plurality of meta-evidence nodes in the embedding space; and
selecting an answer to the natural language query from the set of candidate answers based on the support vector.
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