Conversation utterance labeling
AssigneeInternational Business Machines Corporation
InventorsRama Kalyani T. Akkiraju, Vibha S. Sinha, Anbang Xu
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Abstract
A method, a computer program product, and an information handling system is provided for labeling unlabeled utterances given a taxonomy of labels utilizing topic word semi-supervised learning.
Claims20
A method for simplifying and improving quality of labeling an utterance utilizing one or more topic words found in an utterance to determine dialog acts, the method implemented by a processor comprising:
- receiving unlabeled utterances;
- receiving a taxonomy of labels;
- applying an automated algorithm to cluster the unlabeled utterances according to the one or more topic words to form an unlabeled cluster;
- mapping the one or more topic words to an entry in the taxonomy of labels;
- and
- utilizing semi-supervised learning to label an unlabeled utterance and wherein the label represents a dialog act.
A computer program product for simplifying and improving quality of labeling an utterance utilizing one or more topic words found in an utterance to determine dialog acts, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable on a processing circuit to cause the processing circuit to perform the method comprising:
- receiving unlabeled utterances;
- receiving a taxonomy of labels;
- applying an automated algorithm to cluster the unlabeled utterances according to the one or more topic words to form an unlabeled cluster;
- mapping the one or more topic words to an entry in the taxonomy of labels;
- and
- utilizing semi-supervised learning to label an unlabeled utterance and wherein the label represents a dialog act.
An information handling system for simplifying and improving quality of labeling an utterance utilizing one or more topic words found in an utterance to determine dialog acts, the information handling system comprising:
- at least one processor;
- a memory coupled to the at least one processor;
- a set of instructions stored in the memory and executed by the at least one processor wherein the set of instructions perform operations including:
- receiving unlabeled utterances;
- receiving a taxonomy of labels;
- applying an automated algorithm to cluster the unlabeled utterances according to the one or more topic words to form an unlabeled cluster;
- mapping the one or more topic words to an entry in the taxonomy of labels;
- and utilizing semi-supervised learning to label an unlabeled utterance and wherein the label represents a dialog act.
Dependencies are inferred from the claim text.