Transformers for Extractive Text Summarization - Data Science Applications

Watch a conference talk from Data Science Conference Europe 2022 where Anton Guldinskii explores the intersection of data science and effective communication in extractive text summarization using transformers. Discover practical approaches for bridging the gap between data scientists and product managers, while learning about data lakes, rush metrics, greedy selection algorithms, and custom techniques for handling mixed data. Gain insights into semantic redundancy, compression ratios, and results metrics that can enhance your ability to present complex findings in an accessible way. Beyond technical aspects, learn how to develop essential soft skills like storytelling and cross-functional collaboration that are crucial for data scientists working with stakeholders outside their immediate team. The 31-minute presentation provides concrete strategies for expanding your professional toolkit beyond technical expertise to become a more effective data science practitioner.