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.

Machine learningNatural languageVisionSpeechG06F 40/295G06F 40/30G06F 40/58G06V 30/1423

AI classification

Natural language1.00
Machine learning1.00
Vision1.00
Speech1.00
Planning0.38
AI hardware0.15
Knowledge representation0.03
Evolutionary computation0.00

Ownership

PANASONIC CORPORATION

assignment · 225070233

Assignors

YAN, PENGJU, SUN, YUFEI, TSUZUKI, TAKASHI

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

From the same owner

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