London Stock Exchange Group has patented a computer system for automatic summarization of financial earnings call transcripts. The system uses machine-learning estimators trained on gold standard summaries to generate segments and create concise summaries. GlobalData’s report on London Stock Exchange Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on London Stock Exchange Group, was a key innovation area identified from patents. London Stock Exchange Group's grant share as of April 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.

Automatic summarization of financial earnings call transcripts

Source: United States Patent and Trademark Office (USPTO). Credit: London Stock Exchange Group Plc

A computer system has been granted a patent (Publication Number: US11915701B2) for its innovative method of automatically summarizing transcripts. The system utilizes machine-learning (ML) estimators specifically trained on predefined features and labeled data from a gold standard corpus to generate segment scores for each portion of the transcript. These segment scores are then used to identify a subset of segments that form the basis of the final summary. The system can employ both ML regression estimators and ML binary classification estimators to achieve this summarization process effectively.

Furthermore, the patented system incorporates a machine-learning natural language processing (ML-NLP) estimator that is pre-trained on a general corpus and fine-tuned on a gold standard corpus to generate segment scores based on learned relationships between features and relevance votes assigned by annotators. The system can generate a domain-specific language model and utilize heuristic rules to further refine the summarization process. By evaluating various characteristics of segments and adjusting cumulative segment scores accordingly, the system can determine which segments to include in the final summary, providing an automated and efficient way to summarize transcripts accurately.

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