Patent ID: 11966700
Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising, by an information retrieval system:
reading a text sequence that comprises at least one word;
extracting model input data from the text sequence, wherein the model input data comprises, for each word of the text sequence, segment data and non-segment data, wherein the segment data is generated by determining a text sequence length threshold and a segment length threshold different from the text sequence length threshold, and, if a length of the text sequence is less than or equal to the text sequence length threshold, for each word of the text sequence, generating a plurality of segments of the text sequence that each are less than or equal to the segment length threshold;
using a first machine learning model generating, for each word of the text sequence, based on the model input data, a first feature subset of a multi-level feature set;
using a second machine learning model generating, for each word of the text sequence, based on the model input data, a second feature subset of the multi-level feature set;
outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence;
executing a search based at least in part on the tagged version of the text sequence.