Patent ID: 11915701
Assignee: REFINITIV US ORGANIZATION LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer system to automatically summarize a transcript, the computer system comprising:
a processor programmed to:
generate a plurality of segments based on content of the transcript, each segment comprising a respective portion of the content, wherein the transcript is transcribed from audio having spoken words or phrases relating to a subject matter domain;
for each segment of the plurality of segments:
provide the segment to a machine-learning natural language processing (ML-NLP) estimator, the ML-NLP estimator being specifically pre-trained on a general corpus to learn a general language model and then fine-tuned on a gold standard corpus comprising a plurality of gold standard summaries of transcripts that was generated from other transcripts of corresponding audio having respective spoken words or phrases relating to the subject matter domain, the gold standard corpus of transcripts comprising a plurality of annotated segments from an annotation corpus of transcripts, each annotated segment being labeled to indicate a number of relevance votes from annotators, each relevance vote indicating that an annotator indicated that the segment is relevant to a corresponding transcript in the annotation corpus of transcripts,
wherein for each gold standard summary of the plurality of gold standard summaries, a given segment from the corresponding transcript is added to the gold standard summary when a predefined number or percentage of annotators agreed that the given segment should be added to the gold standard summary;
generate, as an output of the ML-NLP estimator, a segment score;

identify a subset of the plurality of segments based on the segment score of each segment; and
generate a summary of the transcript based on the subset of the plurality of segments.