PIVOTING FROM A GRAPH OF SEMANTIC SIMILARITY OF DOCUMENTS TO A DERIVATIVE GRAPH OF RELATIONSHIPS BETWEEN ENTITIES MENTIONED IN THE DOCUMENTS

Patent №

US 9,710,544

Granted

2017-07-18

Filed 2016

Owner

QUID, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15159059

Provided is a process including: obtaining a first graph comprising nodes and edges, each of the first-graph edges linking two of the first-graph nodes and denoting semantic similarity of unstructured text in documents corresponding to the two linked first-graph nodes; for each of the first-graph nodes, selecting nodes for a second graph from attributes of the unstructured text documents to which the first-graph node corresponds, wherein the attributes are entities mentioned in the unstructured text documents, and wherein each of the second-graph nodes corresponds to a respective selected attribute; and for each pair of the second-graph nodes, determining a respective edge weight indicating similarity between a first entity corresponding to a first node of the respective pair and a second entity corresponding to a second node of the respective pair.

AI classification

Natural language1.00
Planning1.00
Machine learning1.00
Knowledge representation0.96
AI hardware0.80
Vision0.25
Evolutionary computation0.01
Speech0.00

Ownership

QUID, INC.

assignment · 389260844

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