US 2022/0068462 A1Published application

Artificial Memory for use in Cognitive Behavioral Therapy Chatbot

Assigneedoc.ai, Inc.

InventorsEric William DOLAN, Joel Thomas KAARDAL, Jeremy Fine HARTMAN, Satish Srinivasan BHAT, Srivatsa Akshay SHARMA, Walter Adolf DE BROUWER

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Abstract

The technology disclosed relates to a system and method for remembering content received from a patient for future use and understood by computerized natural language processing during a chatbot therapy session. The system includes a graph of entities and relationships in an artificial memory graph data structure. The entity nodes in the graph represent entities that are related to a patient root node representing the patient. The entity nodes are connected to patient root node by one or more relationship edges that have named roles. The entity nodes and/or relationship edges can be slotted for at least a distinguishing name, a patient sentiment towards the entity and an entity state.

Claims22

Dependent claims

A method of remembering for future use content received from a patient and understood by computerized natural language processing during a chatbot therapy session, including:

maintaining a graph of entities and relationships in an artificial memory graph data structure, wherein entity nodes represent entities that are related to a patient root node representing the patient by one or more relationship edges that have named roles, wherein the entity nodes and/or relationship edges are slotted for at least a distinguishing name, a patient sentiment towards the entity and an entity state;
maintaining a relationship hierarchy that describes alternative relationship edges used to connect the patient root node to a particular entity node, wherein the relationship hierarchy is structured as hypernym and hyponym relationships;
processing utterances from the patient in the chatbot therapy sessions, the utterances including:
relationships and entities;
sentiments of the patient towards the entities, and
states of the entities;
repeatedly updating entity nodes and/or relationship edges using a relationship, a distinguishing name, or both found in particular utterances, including:
for first particular utterances, querying for both the distinguishing name and the relationship and, when both are found, using sentiment and state information from the first particular utterances to fill or update one or more slots in the entity node and/or relationship edge to which the sentiment and state information relate,
for second particular utterances, querying for the distinguishing name and, when a responsive named entity node is found, using information from the second particular utterances to fill or update one or more slots for the named entity node or the relationship edge connected to the named entity node to the patient root,
for third particular utterances, querying for the relationship and, when a responsive relationship edge is found, using information from the third particular utterances to fill or update one or more slots for the relationship edge or the entity node related to the patient by the edge;
and
for fourth particular utterances, when neither the distinguishing name nor the relationship are found by querying, creating a new entity node and a new relationship edge using information from the fourth particular utterances and further filling in from the utterances one or more slots in each of the new entity node and the new relationship edge.

9 more elements

A non-transitory computer readable storage medium impressed with computer program instructions to make use of remembered content during a therapy session from earlier interactions with a patient in a series of sessions, the instructions, when executed on a processor, implement a method comprising:

processing input from a patient in a particular utterance in a current conversation session, the input including:
an entity having a distinguishing name and a relationship to the patient, which may be unstated, and
an event involving the entity;
using the event to infer a sentiment of the patient in the particular utterance towards the entity;
accessing an artificial memory graph data structure comprising a patient root and entity nodes connected to the patient root by relationship edges, using the distinguishing name from the particular utterance, including:
querying for the distinguishing name to select a named entity node, and
extracting a role from at least one relationship edge between the patient root and the named entity node, and
referring, in a prompt to the patient, to the named entity using the extracted role and the inferred sentiment to advance the conversation.

5 more elements

A non-transitory computer readable storage medium impressed with computer program instructions to process input from a patient in a particular utterance in a current conversation session, the instructions, when executed on a processor, implement a method comprising, the input including:

a named relationship, and
an event involving an entity,
using the event to infer a sentiment of the patient in the particular utterance towards the entity;
accessing, an artificial memory graph data structure comprising a patient root and entity nodes connected to the patient root by relationship edges, using the named relationship from the particular utterance, including:
querying for the named relationship, selecting relationship edges connected to the patient root that are responsive to the query, and extracting a plurality of distinguishing names from entity nodes connected to the patient by the selected relationship edges, and
sending a prompt to the patient asking the patient to select among the distinguishing names to disambiguate the named relationship and connected entity,
advancing the conversation by referring to the distinguishing name of the disambiguated entity and the inferred sentiment.

4 more elements

Dependencies are inferred from the claim text.