The London Stock Exchange Group has been granted a patent for a computer system that automatically summarizes financial earnings call transcripts. The system uses machine-learning estimators trained on labeled data from a gold standard corpus to generate a summary based on the content of the transcript. 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 February 2024 was 53%. 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 for automatically summarizing transcripts based on spoken words or phrases related to a specific subject matter domain. The system utilizes machine-learning estimators trained on a gold standard corpus of summaries generated from other transcripts. These estimators generate segment scores for each portion of the transcript, allowing the system to identify a subset of segments to form a concise summary. The system can use both regression and binary classification estimators to determine segment relevance, with features such as relevance votes from annotators playing a crucial role in the scoring process.

Furthermore, the patented system incorporates natural language processing (NLP) estimators that are pre-trained on a general corpus and fine-tuned on a gold standard corpus to create a domain-specific language model. By leveraging pre-training and fine-tuning techniques, the system can generate segment scores and summaries more effectively. The system also includes heuristic rules that add or subtract points based on specific characteristics of each segment, allowing for a more nuanced evaluation process. These rules consider features like the presence of financial terms, sentiment analysis, and sentence length to determine the cumulative segment score and ultimately decide which segments to include in the final summary.

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