US 2020/0401659 A1 · CONTEXTUAL DISAMBIGUATION OF AN ENTITY IN A CONVERSATION MANAGEMENT SYSTEM

Abstract

Systems, computer-implemented methods, and computer program products that can facilitate word entity disambiguation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a language model component that employs an artificial intelligence model to generate a profile vector of an entity based on one or more binary values representing profile data of the entity and a word vector of a word entity in a dialogue based on one or more second word entities adjacent to the word entity in the dialogue. The computer executable components can further comprise a dialogue management component that disambiguates the word entity based on the profile vector and the word vector.

Claims20

Dependent claims

A system, comprising:

a memory that stores computer executable components;
and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a language model component that employs an artificial intelligence model to generate a profile vector of an entity based on one or more binary values representing profile data of the entity and a word vector of a word entity in a dialogue based on one or more second word entities adjacent to the word entity in the dialogue;
and
a dialogue management component that disambiguates the word entity based on the profile vector and the word vector.

3 more elements

A computer program product facilitating word entity disambiguation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

employ, by the processor, an artificial intelligence model to generate a profile vector of an entity based on one or more binary values representing profile data of the entity and a word vector of a word entity in a dialogue based on one or more second word entities adjacent to the word entity in the dialogue;
and
disambiguate, by the processor, the word entity based on the profile vector and the word vector.

Dependencies are inferred from the claim text.

Contextual disambiguation of an entity in a conversation management system

Life of this patent

Contextual disambiguation of an entity in a conversation management system

Life of this patent

Abstract

Claims20