Lessons in Benchmarking: Earnings Call Summarization
Автор: John Snow Labs – Healthcare AI Company
Загружено: 2024-10-01
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Earnings calls are a critical source of information for investors, analysts, and stakeholders, providing insights into a company’s financial performance, strategies, and future outlook. However, the sheer volume and complexity of these calls present challenges in extracting relevant information efficiently. This presentation explores the lessons learned in Aiera’s benchmarking for abstractive summarization of earnings calls, focusing on the effectiveness, accuracy, and practicality of different summarization techniques and evaluation metrics.
This session was presented by Jacqueline Garrahan, Senior Machine Learning Engineer at Aiera
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