Global Patent Index - EP 3652664 A1

EP 3652664 A1 20200520 - METHOD FOR CONDUCTING DIALOG BETWEEN HUMAN AND COMPUTER

Title (en)

METHOD FOR CONDUCTING DIALOG BETWEEN HUMAN AND COMPUTER

Title (de)

VERFAHREN ZUR DIALOGFÜHRUNG ZWISCHEN MENSCH UND COMPUTER

Title (fr)

PROCÉDÉ DE CONDUITE DE DIALOGUE HOMME-ORDINATEUR

Publication

EP 3652664 A1 20200520 (DE)

Application

EP 17780297 A 20170714

Priority

DE 2017100587 W 20170714

Abstract (en)

[origin: WO2019011356A1] The invention relates to a method for conducting dialog between human and computer by means of a self-learning system, comprising: receiving user inputs in natural spoken text, associating synonyms and key words and making word associations, analyzing the user inputs with respect to sentence structure and sentence construction and recognizing same, associating key phrases, determining and classifying the user intention, checking if a confirmation is required, carrying out logical processing in a reasoning-and-answer preparation with formulation of a decision on the further dialog development, formulation or the dialog course with possible generation of an answer, wherein in order to recognize the user intention the statistical relevance of the association with a target intention is determined while at the same time all meta-information is retained, the classification occurs by means of a classification algorithm for intention clarification, logic and speech understanding are linked by means of meta-information in the decision tree, feedback to the self-learning system is generated by using earlier user questioning, a query to the user as to whether the recognized intention was correctly understood is generated if the statistical relevance is below a limit value, in this case an answer of the user is received and is then analyzed with respect to sentence structure and sentence construction and the user inputs are again divided into substantive content and into meta-information about the user and the user intention is again determined and classified, the recognition result is output to the self-learning system, the self-learning system develops automatic system recommendations and/or decisions for improving the intention recognition across a plurality of user interactions and keeps same at hand for later use, initiates the generation of the spoken-text answer to the user if the statistical relevance exceeds a limit value, and otherwise triggers a further inquiry.

IPC 8 full level

G10L 15/22 (2006.01)

CPC (source: EP US)

G06F 40/205 (2020.01 - US); G06F 40/226 (2020.01 - EP); G06F 40/35 (2020.01 - EP); G06F 40/56 (2020.01 - EP); G10L 15/22 (2013.01 - EP US); G10L 15/26 (2013.01 - US); G10L 2015/225 (2013.01 - EP US)

Citation (search report)

See references of WO 2019011356A1

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family (publication)

WO 2019011356 A1 20190117; EP 3652664 A1 20200520; US 11315560 B2 20220426; US 2020234700 A1 20200723

DOCDB simple family (application)

DE 2017100587 W 20170714; EP 17780297 A 20170714; US 201716630912 A 20170714