ASSESSING THE STRUCTURAL QUALITY OF CONVERSATIONS

Patent №

US 10,424,319

Granted

2019-09-24

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15715552

Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG10L 25/63G06F 16/24578G06F 16/634G06Q 10/06316G10L 15/22H04M 3/2236H04M 3/4936G10L 2015/227+3 more

AI classification

Natural language1.00
Speech1.00
Machine learning0.96
Knowledge representation0.81
AI hardware0.79
Planning0.06
Vision0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 436990451

Assignors

AKKIRAJU, RAMA KALYANI T., MAHMUD, JALAL, SINHA, VIBHA S., XU, ANBANG, GUNDECHA, PRITAM S., BHUIYAN, MD MANSURUL A., ORABY, SHEREEN M.

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

From the same owner

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