ENCODER USING MACHINE-TRAINED TERM FREQUENCY WEIGHTING FACTORS THAT PRODUCES A DENSE EMBEDDING VECTOR

A computer-implemented technique generates a dense embedding vector that provides a distributed representation of input text. The technique includes: generating an input term-frequency (TF) vector of dimension g that includes frequency information relating to frequency of occurrence of terms in an i...

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Bibliographische Detailangaben
Hauptverfasser: ULABALA, Surendra, WANG, Yan, WU, Ye, SACHETI, Arun, THAKKAR, Vishal, HU, Houdong
Format: Patent
Sprache:eng ; fre ; ger
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