Generation of domain models from noisy transcriptions
AssigneeInternational Business Machines Corporation
InventorsShourya Roy, Laxminarayan Venkata Subramaniam
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Abstract
A method of building a domain specific model from transcriptions is disclosed. The method starts by applying text clustering to the transcriptions to form text clusters. The text clustering is applied at a plurality of different granularities, and groups topically similar phrases in the transcriptions. The relationship between text clusters resulting from the text clustering at different granularities is then identified to form a taxonomy. The taxonomy is augmented with topic specific information.
Claims14
A method of building a domain specific model from transcriptions, said method comprising the steps of:
- applying text clustering to said transcriptions to form text clusters, where said text clustering is applied at a plurality of different granularities and groups topically similar phrases in said transcriptions;
- identifying the relationship between text clusters resulting from said text clustering at different granularities to form a taxonomy;
- and
- augmenting said taxonomy with topic specific information.
A method comprising the steps of:
- receiving a domain specific model;
- receiving a transcription of a part of a conversation;
- and
- mapping said transcription to a node in said domain specific model.
A method comprising the steps of:
- receiving a domain specific model;
- receiving a transcription of a conversation;
- calculating statistics of said transaction;
- and
- comparing at least said statistics of said transcription with statistics from said domain specific model.
An apparatus for building a domain specific model from transcriptions, said apparatus comprising a processor configured to perform the steps comprising of:
- applying text clustering to said transcriptions to form text clusters, where said text clustering is applied at a plurality of different granularities and groups topically similar phrases in said transcriptions;
- identifying the relationship between text clusters resulting from said text clustering at different granularities to form a taxonomy;
- and
- augmenting said taxonomy with topic specific information.
The apparatus according to claim 10, all the limitations of which are incorporated herein by reference, wherein said taxonomy is augmented with one or more of:
- typical issues raised and solutions to those issues;
- typical questions and answers;
- and
- statistics relating to conversations associated with said transcriptions.
An apparatus configured to perform the steps comprising of:
- receiving a domain specific model;
- receiving a transcription of a part of a conversation;
- and
- mapping said transcription to a node in said domain specific model.
An apparatus configured to perform the steps comprising of:
- receiving a domain specific model;
- receiving a transcription of a conversation;
- calculating statistics of said transaction;
- and
- comparing at least said statistics of said transcription with statistics from said domain specific model.
Dependencies are inferred from the claim text.