Invention Grant
- Patent Title: Unsupervised ontology-based graph extraction from texts
-
Application No.: US15156623Application Date: 2016-05-17
-
Publication No.: US10169454B2Publication Date: 2019-01-01
- Inventor: Salah Ait-Mokhtar , Vassilina Nikoulina
- Applicant: Xerox Corporation
- Applicant Address: US CT Norwalk
- Assignee: XEROX CORPORATION
- Current Assignee: XEROX CORPORATION
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F7/00 ; G06N5/02

Abstract:
A method for extracting a relations graph uses an ontology graph in which nodes represent entity classes or concepts and edges represent properties of the classes. A property is associated with a constraint which defines a range of values that can be taken without incurring a cost. Input text in which entity and concept mentions are identified is received. An optimal set of alignments between a subgraph of the ontology graph and the identified mentions is identified by optimizing a function of constraint costs incurred by the alignments and a distance measure computed over the set of alignments. The relations graph is generated, based on the optimal set of alignments. The relations graph represents a linked set of relations instantiating a subgraph of the ontology. The relations graph can include relations involving implicit mentions corresponding to subgraph nodes that are not aligned to any of the concept or entity mentions.
Public/Granted literature
- US20170337268A1 UNSUPERVISED ONTOLOGY-BASED GRAPH EXTRACTION FROM TEXTS Public/Granted day:2017-11-23
Information query