Multi-user, multi-domain dialog system
First Claim
1. A computer-implemented method for improving understanding of a computer-addressed conversational input in a multi-user conversation by a human-computer interaction system, the method comprising:
- receiving input from on an electronic device from the multi-user conversation;
translating the input into conversational inputs using an input decoder, the conversational inputs including the computer-addressed conversational input and conversational inputs occurring prior to the computer-addressed conversational input, the computer-addressed conversational input instructing a computer to perform an action;
parsing, using natural language processing, conversational inputs into topic segments;
extracting, using an engine trained based on a statistical model, a conversational context of the conversational inputs within at least one of the topic segments, wherein the conversational context for the computer-addressed conversational input is extracted based on at least contextual features obtained from the conversational inputs occurring prior to the computer-addressed conversational input,wherein the conversational inputs occurring prior to the computer-addressed conversational input include at least one other computer-addressed conversational input and at least one human-addressed conversational input, and the contextual features include (a) a domain of a majority of the conversational inputs occurring prior to the computer-addressed conversational input and (b) a distribution score associated with at least one of the conversational inputs occurring prior to the computer-addressed conversational input.
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Accused Products
Abstract
A dialog system for use in a multi-user, multi-domain environment. The dialog system understands user requests when multiple users are interacting with each other as well as the dialog system. The dialog system uses multi-human conversational context to improve domain detection. Using interactions between multiple users allows the dialog system to better interpret machine directed conversational inputs in multi-user conversational systems. The dialog system employs topic segmentation to chunk conversations for determining context boundaries. Using general topic segmentation methods, as well as the specific domain detector trained with conversational inputs collected by a single user system, allows the dialog system to better determine the relevant context. The use of conversational context helps reduce the domain detection error rate, especially in certain domains, and allows for better interactions with users when the machine addressed turns are not recognized or are ambiguous.
32 Citations
20 Claims
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1. A computer-implemented method for improving understanding of a computer-addressed conversational input in a multi-user conversation by a human-computer interaction system, the method comprising:
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receiving input from on an electronic device from the multi-user conversation; translating the input into conversational inputs using an input decoder, the conversational inputs including the computer-addressed conversational input and conversational inputs occurring prior to the computer-addressed conversational input, the computer-addressed conversational input instructing a computer to perform an action; parsing, using natural language processing, conversational inputs into topic segments; extracting, using an engine trained based on a statistical model, a conversational context of the conversational inputs within at least one of the topic segments, wherein the conversational context for the computer-addressed conversational input is extracted based on at least contextual features obtained from the conversational inputs occurring prior to the computer-addressed conversational input, wherein the conversational inputs occurring prior to the computer-addressed conversational input include at least one other computer-addressed conversational input and at least one human-addressed conversational input, and the contextual features include (a) a domain of a majority of the conversational inputs occurring prior to the computer-addressed conversational input and (b) a distribution score associated with at least one of the conversational inputs occurring prior to the computer-addressed conversational input. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer readable article of manufacture device containing computer executable instructions which, when executed by a computer, cause the computer to perform a method for detecting a domain of a computer-addressed conversational input in a human-computer interaction system, the method comprising:
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receiving input on an electronic device from the multi-user conversation; translating the input into conversational inputs using an input decoder, the conversational inputs including the computer-addressed conversational input and conversational inputs occurring prior to the computer-addressed conversational input, the computer-addressed conversational input instructing a computer to perform an action; parsing, using natural language processing, conversational inputs into topic segments; extracting, using an engine trained based on a statistical model, a conversational context of the conversational inputs within at least one of the topic segments, wherein the conversational context for the computer-addressed conversational input is extracted based on at least contextual features obtained from the conversational inputs occurring prior to the computer-addressed conversational input, wherein the conversational inputs occurring prior to the computer-addressed conversational input include at least one other computer-addressed conversational input and at least one human-addressed conversational input, and the contextual features include (a) a domain of a majority of the conversational inputs occurring prior to the computer-addressed conversational input and (b) a distribution score associated with at least one of the conversational inputs occurring prior to the computer-addressed conversational input. - View Dependent Claims (14, 15, 16)
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17. A computer system comprising a processor electrically connected to computer readable storage media, the computer-readable storage media storing instructions that, when executed, perform a computer-implemented method for detecting a domain of a computer-addressed conversational input in a human-computer interaction system, the method comprising:
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receiving input on an electronic device from the multi-user conversation; translating the input into conversational inputs using an input decoder, the conversational inputs including the computer-addressed conversational input and conversational inputs occurring prior to the computer-addressed conversational input, the computer-addressed conversational input instructing a computer to perform an action; parsing, using natural language processing, conversational inputs into topic segments; extracting, using an engine trained based on a statistical model, a conversational context of the conversational inputs within at least one of the topic segments, wherein the conversational context for the computer-addressed conversational input is extracted based on at least contextual features obtained from the conversational inputs occurring prior to the computer-addressed conversational input, wherein the conversational inputs occurring prior to the computer-addressed conversational input include at least one other computer-addressed conversational input and at least one human-addressed conversational input, and the contextual features include (a) a domain of a majority of the conversational inputs occurring prior to the computer-addressed conversational input and (b) a distribution score associated with at least one of the conversational inputs occurring prior to the computer-addressed conversational input. - View Dependent Claims (18, 19, 20)
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Specification