METHOD AND APPARATUS FOR NAMED ENTITY RECOGNITION IN CHINESE CHARACTER STRINGS UTILIZING AN OPTIMAL PATH IN A NAMED ENTITY CANDIDATE LATTICE
Patent №
US 8,938,385
Granted
2015-01-20
Filed 2009
Owner
PANASONIC CORPORATION
Lab
—
AI components
4
ml · nlp · vision · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12300684
The present invention provides a method for recognizing a named entity included in natural language, comprising the steps of: performing gradual parsing model training with the natural language to obtain a classification model; performing gradual parsing and recognition according to the obtained classification model to obtain information on positions and types of candidate named entities; performing a refusal recognition process for the candidate named entities; and generating a candidate named entity lattice from the refusal-recognition-processed candidate named entities, and searching for a optimal path. The present invention uses a one-class classifier to score or evaluate these results to obtain the most reliable beginning and end borders of the named entities on the basis of the forward and backward parsing and recognizing results obtained only by using the local features.
AI classification
Ownership
PANASONIC CORPORATION
assignment · 225070233
Assignors
YAN, PENGJU, SUN, YUFEI, TSUZUKI, TAKASHI
On an employer assignment, the assignors are typically the inventors.