SUPERVISED MACHINE LEARNING METHOD FOR MATCHING UNSUPERVISED DATA

SUPERVISED MACHINE LEARNING METHOD FOR MATCHING UNSUPERVISED DATA

A method including receiving first and second natural language texts. A distance metric is generated from the first and second natural language texts. A first machine learning system is executed, the first machine learning system taking, as a first input, the distance metric and generating, as a fir...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: BAR ELIYAHU, NATALIE, BECHLER, SIGALIT, LACKRITZ, HADAR, TAYEB, YAAKOV
Format: Patent
Sprache:eng ; fre
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:A method including receiving first and second natural language texts. A distance metric is generated from the first and second natural language texts. A first machine learning system is executed, the first machine learning system taking, as a first input, the distance metric and generating, as a first output, a first probability that the first natural language text matches the second natural language text. A second machine learning system is executed, the second machine learning system taking as a second input the first natural language text and as a third input the second natural language text, and generating, as a second output, a second probability that the first natural language text matches the second natural language text. A third probability that the first natural language text matches the second natural language text is generated. Generating includes combining the first probability and the second probability.