DETERMINING SEMANTIC SIMILARITY OF TEXTS BASED ON SUB-SECTIONS THEREOF

DETERMINING SEMANTIC SIMILARITY OF TEXTS BASED ON SUB-SECTIONS THEREOF

Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the te...

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Hauptverfasser: Turkkan, Omer Anil, Palapudi, Sriram, Karakusoglu, Firat
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator Turkkan, Omer Anil
Palapudi, Sriram
Karakusoglu, Firat
description Systems and methods are provided to compare a target sample of text to a set of textual records, each textual record including a sample of text and an indication of one or more segments of text within the sample of text. Semantic similarity values between the target sample of text and each of the textual records are determined. Determining a particular semantic similarity value between the target sample of text and a particular textual record of the corpus includes: (i) determining individual semantic similarity values between the target sample of text and each of the segments of text indicated by the particular textual record, and (ii) generating the particular semantic similarity value between the target sample of text and the particular textual record based on the individual semantic similarity values. A textual record is then selected based on the semantic similarities.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title DETERMINING SEMANTIC SIMILARITY OF TEXTS BASED ON SUB-SECTIONS THEREOF
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