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INTERACTIVELY BUILDING A TOPIC MODEL EMPLOYING SEMANTIC SIMILARITY IN A SPOKEN DIALOG SYSTEM
INTERACTIVELY BUILDING A TOPIC MODEL EMPLOYING SEMANTIC SIMILARITY IN A SPOKEN DIALOG SYSTEM
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机译：在口语对话系统中交互构建具有语义相似性的主题模型
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摘要
A computer-implemented method is presented for building a topic model to discover topics in a collection of documents generated by a plurality of users. The method includes extracting conversations from the collection of documents, dividing the extracted conversations into a plurality of segments, generating a topic distribution for each of the plurality of segments based on the extracted conversations and a first pre-defined prior probability distribution, and generating continuous value constructs for each of the topic distributions based on an external corpus and a second pre-defined prior probability distribution, wherein similarity is defined between the continuous value constructs.
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