公开(公告)号：WO2021247610A1

公开(公告)日：2021-12-09

申请号：PCT/US2021/035297

申请日：2021-06-01

Applicant: COGNIZER, INC.

Inventor： PORTER, Jack ,  VELU, Soundararajan ,  MUNIRATHNAM, Vineeth ,  KIRCH, Suzanne ,  BARONIA, Rajiv

IPC: G06F40/30 ,  G06N3/08 ,  G06F40/10 ,  G06F40/20 ,  G06F40/247

Abstract: Semantic frame identification involves associating identified target words in the sentential context of their natural language source with semantic frames from a frame lexical database. The disclosed invention leverages the CapsNet architecture for improved semantic frame identification of a target word in a natural language input. This includes deriving the features of a target word identified in the sentence and extracting the features of the word units and the thematic words around the target word. Through dynamic routing of capsules, the CapsNet is able to filter the candidate frames for the target word to reduce the search space and apply the CapsNet prediction to identify a frame from a frame lexical database.

公开(公告)号：WO2022109203A1

公开(公告)日：2022-05-27

申请号：PCT/US2021/059992

申请日：2021-11-18

Applicant: COGNIZER, INC.

Inventor： PORTER, Jack ,  VELU, Soundararajan ,  MUNIRATHNAM, Vineeth ,  KIRCH, Suzanne ,  BARONIA, Rajiv

IPC: G06F40/295 ,  G06F40/284 ,  G06F40/279 ,  G06F40/289

Abstract: Named Entity Recognition is the identification and classification of named entities within a document. The disclosed invention leverages the CapsNet architecture for improved NE identification and classification. This includes deriving the features of an input text. The derived features are used to identify and classify any named entities in the text. The system is further configured to identify named entities in the text and perform clustering to group named entities. The disclosed CapsNet considers the context of the whole text to activate higher capsule layers in order to identify named entities and classify them.