@inproceedings{wrobel-etal-2025-lecture4all,
    title = "{LECTURE}4{ALL}: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos",
    author = "Wrobel, Viktoria  and
      Kazemi, Simon  and
      Hammerschmidt, Frank  and
      Hannemann, Torben  and
      Stange, Gregor  and
      Yimam, Seid Muhie  and
      Geislinger, Robert",
    editor = "Mishra, Pushkar  and
      Muresan, Smaranda  and
      Yu, Tao",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingestion-acl-25/2025.acl-demo.59/",
    pages = "614--620",
    ISBN = "979-8-89176-253-4",
    abstract = "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."
}