Extractive summary generation by abstractive trained model
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United States of America
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May 14, 2024
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N/A
app pub date -
Jun 23, 2023
filing date -
Jun 23, 2023
priority date (Note) -
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status (Latency Note)
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Abstract
A method and computer system are provided for generating a text summary. An input text is processed by a model that comprises a set of attention heads. The model is trained to generate abstractive summaries of text documents. A subset of the attention heads are identified. For each attention head in the subset, a portion is identified from the input text that is used to generate the abstractive summary. For each sentence of the input text, a fractional size is calculated for an intersection of the portion and the respective sentence relative to the respective sentence. A subset of the sentences is then determined, where the respective fractional size of each sentence in the subset meets a first threshold. An extractive summary of the input text is then generated from the subset of sentences.
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