REPRESENTING A DOCUMENT USING A SEMANTIC STRUCTURE

Patent №

US 8,335,754

Granted

2012-12-18

Filed 2010

Owner

PHISCAPE AG

+3 more

Lab

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12718692

A method, system and computer program product for generating a document representation are disclosed. The system includes a server and a client computer, and the method involves: receiving into memory a resource containing at least one sentence of text; producing a tree comprising tree elements indicating parts-of-speech and grammatical relations between the tree elements; producing semantic structures each having three tree elements to represent a simple clause (subject-predicate-object); and storing a semantic network of semantic structures and connections therebetween. The semantic network may be created from a user provided root concept. Output representations include concept maps, facts listings, text summaries, tag clouds, indices; and an annotated text. The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document use histories.

Machine learningNatural languageKnowledge representationG06N 5/022G06F 16/322G06F 16/367G06F 40/205G06F 40/30

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.99
Planning0.06
Vision0.00
AI hardware0.00
Speech0.00
Evolutionary computation0.00

Ownership

PHISCAPE AG

assignment · 240390353

TAGGED, INC.

assignment · 273790224

TOPICMARKS, INC.

assignment · 273850673

IFWE INC.

namechg · 340120068

Assignors

DAWSON, KARL, DZIALO, JAROMIR, GROCHOWSKI, MAREK, METEL, PIOTR, NIEWIADOMSKA, AGATA

On an employer assignment, the assignors are typically the inventors.

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