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US 11,443,119 B2Granted
Adapting dialog models by relevance value for concepts to complete a task
AssigneeInternational Business Machines Corporation
InventorsSong Feng, Qingzi Liao, Luis A. Lastras-Montano, Robert G. Farrell, Ana Smith
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Abstract
A computer-implemented method identifies one or more concepts from a document, wherein the document comprises information on completing a task. The method computes a relevance value of an utterance with respect to completing the task using the one or more identified concepts. The method removes the utterance from a dialog model to be used for completing the task when the relevance value of the utterance is below a given threshold value.
Claims20
An apparatus comprising:
- at least one processor;
- at least one memory including computer program code;
- the at least one memory and the computer program code being configured to, with the at least one processor, cause the apparatus at least to:
- identify one or more relevant concepts from a document, the one or more relevant concepts comprising information relevant to completing a task;
- obtain conversation turns in association with a dialog to be included in a dialog model to be used for completing the task;
- compute a relevance value of one or more utterances of the conversation turns with respect to completing the task using the one or more relevant concepts;
- assign summary labels to the conversation turns in the dialog based on the relevance values computed for the one or more utterances of the conversation turns, the summary labels identifying conversation management turns and information management turns, the conversation management turns comprising one or more utterances that are considered non-essential with respect to completing the task, the information management turns comprising one or more utterances that are considered essential with respect to completing the task;
- and
- remove one or more utterances associated with a given conversation management turn from the dialog model when the relevance value of the one or more utterances is determined to be below a given threshold value.
6 more elements
A computer-implemented method comprising:
- identifying one or more relevant concepts from a document, the one or more relevant concepts comprising information relevant to completing a task;
- obtaining conversation turns in association with a dialog to be included in a dialog model to be used for completing the task;
- computing a relevance value of one or more utterances of the conversation turns with respect to completing the task using the one or more relevant concepts;
- assigning summary labels to the conversation turns in the dialog based on the relevance values computed for the one or more utterances of the conversation turns, the summary labels identifying conversation management turns and information management turns, the conversation management turns comprising one or more utterances that are considered non-essential with respect to completing the task, the information management turns comprising one or more utterances that are considered essential with respect to completing the task;
- and
- removing one or more utterances associated with a given conversation management turn from the dialog model when the relevance value of the one or more utterances is determined to be below a given threshold value.
3 more elements
An article of manufacture comprising a non-transitory computer-readable storage medium having embodied therein executable program code that when executed by a processor causes the processor to perform steps of:
- identifying one or more relevant concepts from a document, the one or more relevant concepts comprising information relevant to completing a task;
- obtaining conversation turns in association with a dialog to be included in a dialog model to be used for completing the task;
- computing a relevance value of one or more utterances of the conversation turns with respect to completing the task using the one or more relevant concepts;
- assigning summary labels to the conversation turns in the dialog based on the relevance values computed for the one or more utterances of the conversation turns, the summary labels identifying conversation management turns and information management turns, the conversation management turns comprising one or more utterances that are considered non-essential with respect to completing the task, the information management turns comprising one or more utterances that are considered essential with respect to completing the task;
- and
- removing one or more utterances associated with a given conversation management turn from the dialog model when the relevance value of the one or more utterances is determined to be below a given threshold value.
3 more elements
Dependencies are inferred from the claim text.