Frank Hammerschmidt

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2025

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LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos
Torben Hannemann | Frank Hammerschmidt | Simon Kazemi | Gregor Stange | Viktoria Wrobel | Robert Geislinger | Seid Muhie Yimam
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

This paper presents LECTURE4ALL, a web application developed to improve the search experience of educational video platforms. Lecture2Go provides a vast collection of recorded lectures, but locating specific content within videos can be time-consuming. LECTURE4ALL addresses this issue by leveraging a vector database and a streamlined user interface to enable direct retrieval of precise video timestamps. By enhancing search accuracy and efficiency, LECTURE4ALL significantly improves the accessibility and usability of educational video platforms.
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