WO2019224629 TRAINING DATA EXPANSION FOR NATURAL LANGUAGE CLASSIFICATION

Settings

Stemming

Single Family Member

Include NPL

Feedback

Goto Application

Publication Number WO/2019/224629

Publication Date 28.11.2019

International Application No. PCT/IB2019/053517

International Filing Date 30.04.2019

IPC

CPC

Applicants

INTERNATIONAL BUSINESS MACHINES CORPORATION [US]/[US]
IBM (CHINA) INVESTMENT COMPANY LTD. [CN]/[CN] (MG)
IBM DEUTSCHLAND GMBH [DE]/[DE] (MG)

Inventors

CRUDELE, Michele
PERRONE, Antonio

Agents

KUISMA, Sirpa

Priority Data

15/988,295

24.05.2018

Publication Language English (en)

Filing Language English (EN)

Designated States

View all

Title

(EN) TRAINING DATA EXPANSION FOR NATURAL LANGUAGE CLASSIFICATION

(FR) EXPANSION DE DONNÉES D'APPRENTISSAGE POUR UNE CLASSIFICATION DE LANGAGE NATUREL

Abstract

(EN) A computer-implemented method for training a natural language classifier associated with a chat interface of a computer system is provided. The method may include receiving a training dataset comprising an initial set of expressions corresponding to an intent. Additional expressions corresponding to the intent may be generated, wherein the additional expressions are generated based on the initial set of expressions corresponding to the intent. The natural language classifier may be trained based on the initial set of expressions and the additional expressions corresponding to the intent. The trained natural language classifier may be implemented to determine an intent expressed by a detected query based on the initial set of expressions and the additional expressions by which the natural language classifier was trained.

(FR) L'invention concerne un procédé mis en œuvre par ordinateur pour entraîner un classificateur de langage naturel associé à une interface de discussion d'un système informatique. Le procédé peut comprendre la réception d'un ensemble de données d'apprentissage comprenant un ensemble initial d'expressions correspondant à une intention. Des expressions supplémentaires correspondant à l'intention peuvent être générées, les expressions supplémentaires étant générées sur la base de l'ensemble initial d'expressions correspondant à l'intention. Le classificateur de langage naturel peut être entraîné sur la base de l'ensemble initial d'expressions et des expressions supplémentaires correspondant à l'intention. Le classificateur de langage naturel entraîné peut être implémenté pour déterminer une intention exprimée par une interrogation détectée sur la base de l'ensemble initial d'expressions et des expressions supplémentaires ayant entraîné le classificateur de langage naturel.

G	PHYSICS
06	COMPUTING; CALCULATING OR COUNTING
F	ELECTRIC DIGITAL DATA PROCESSING
17	Digital computing or data processing equipment or methods, specially adapted for specific functions
20	Handling natural language data
27	Automatic analysis, e.g. parsing, orthograph correction

G	PHYSICS
06	COMPUTING; CALCULATING OR COUNTING
F	ELECTRIC DIGITAL DATA PROCESSING
17	Digital computing or data processing equipment or methods, specially adapted for specific functions
20	Handling natural language data
27	Automatic analysis, e.g. parsing, orthograph correction

G	PHYSICS
06	COMPUTING; CALCULATING; COUNTING
F	ELECTRIC DIGITAL DATA PROCESSING
40	Handling natural language data
20	Natural language analysis
205	Parsing
211	Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars

G	PHYSICS
06	COMPUTING; CALCULATING; COUNTING
F	ELECTRIC DIGITAL DATA PROCESSING
40	Handling natural language data
20	Natural language analysis
205	Parsing
226	Validation

G	PHYSICS
06	COMPUTING; CALCULATING; COUNTING
F	ELECTRIC DIGITAL DATA PROCESSING
40	Handling natural language data
20	Natural language analysis
279	Recognition of textual entities
284	Lexical analysis, e.g. tokenisation or collocates

Processing

National Phase Entries

Authority File

Settings

Feedback

Goto Application

1. WO2019224629 - TRAINING DATA EXPANSION FOR NATURAL LANGUAGE CLASSIFICATION

G	PHYSICS
06	COMPUTING; CALCULATING; COUNTING
K	RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9	Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62	Methods or arrangements for recognition using electronic means
6217	Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256	Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting

H	ELECTRICITY
04	ELECTRIC COMMUNICATION TECHNIQUE
L	TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
51	Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
02	with automatic reactions or user delegation, e.g. automatic replies or chatbot