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Conversational bot interaction with utterance ranking

a bot and conversational technology, applied in the field of information retrieval methods and systems, can solve the problems of significant challenges in certain common use cases and sometimes incorrect default behavior, and achieve the effect of facilitating processing

Pending Publication Date: 2022-09-15
DRIFT COM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although AI-based chatbot solutions provide significant advantages, certain common use cases present significant challenges.
Depending on context, however, this default behavior sometimes is not correct, in which case the bot typically produces a wrong (or context-inappropriate) response.

Method used

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  • Conversational bot interaction with utterance ranking
  • Conversational bot interaction with utterance ranking
  • Conversational bot interaction with utterance ranking

Examples

Experimental program
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Embodiment Construction

[0021]The following is a glossary of terms that are used herein:

[0022]Event: a sequence of observations, recognizable as a coherent behavior. Observations within the sequence can be an arbitrary mix of speech acts and physical acts, from multiple actors. One event can be represented by many different possible expressions of that event.

[0023]Event expression: one specific sequence of one or more observations that can represent some event. An event may unfold in many different ways, i.e., there may be many different sequences of saying things, and taking physical actions.

[0024]Event recognition: inferring which event is unfolding, or has unfolded, by comparing a sequence of observations to sequences that compose the expressions for some event.

[0025]Event aliasing: inferring which event is unfolding, or has unfolded, with an inexact match. When an exact sequence is not recognized, a closest inexact match can be determined and presented as an alias such that further processing can then ...

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PUM

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Abstract

A conversational bot system uses a set of conversations that have been annotated to identify speech acts, wherein a speech act is a labeled grouping of utterances. To facilitate processing, a data model associated with a multi-turn conversation is received. The data model comprises an observation history. Upon receipt of query that includes a sequence of at least two or more utterances, an utterance ranking algorithm is applied. The algorithm selectively reorders the utterances in the sequence into a ranked order of importance that reflects a lowest to highest priority of response. In response to applying the utterance ranking algorithm, the data model is then updated to reflect the ranked order. In one embodiment, updating the data model positions the highest priority utterance as a most recent utterance in the observation history. The updated data model is then used to attempt to generate a coherent response to the query.

Description

BACKGROUNDTechnical Field[0001]This application relates generally to information retrieval methods and systems.Background of the Related Art[0002]Online conversational marketing is a well-known technique designed to move buyers or prospects through marketing and sales funnels through the power of real-time conversations. In this approach, and instead of forcing users to go through lead capture forms and wait days for a response, conversational marketing uses targeted messaging, live chat and intelligent conversational bots (chatbots) to engage with users in real-time when they visit a website. A chatbot is a software application that executes on the site and that is used to interact with the user, often in lieu of a direct human interaction. Typically, conversational bots are of several types. A rules-based chatbot follows pre-designed rules that form a decision tree. A more sophisticated approach is an Artificial Intelligence (AI)-based chatbot. An AI chatbot can understand languag...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): H04L12/58G10L15/183G10L15/22
CPCH04L51/02G10L15/183G10L15/22G10L2015/223G06F40/30G06F40/35G06F40/284G06N20/10G06N5/01
Inventor CROWLEY, PAUL A.ORKIN, JEFFREY D.WARD, CHRISTOPHER M.
Owner DRIFT COM INC