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GENERATING SUMMARY CONTENT TUNED TO A TARGET CHARACTERISTIC USING A WORD GENERATION MODEL
GENERATING SUMMARY CONTENT TUNED TO A TARGET CHARACTERISTIC USING A WORD GENERATION MODEL
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机译:使用Word生成模型生成调整到目标特性的摘要内容
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摘要
Certain embodiments involve tuning summaries of input text to a target characteristic using a word generation model. For example, a method for generating a tuned summary using a word generation model includes generating a learned subspace representation of input text and a target characteristic token associated with the input text by applying an encoder to the input text and the target characteristic token. The method also includes generating, by a decoder, each word of a tuned summary of the input text from the learned subspace representation and from a feedback about preceding words of the tuned summary. The tuned summary is tuned to target characteristics represented by the target characteristic token.
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