@inproceedings{hannemann-etal-2025-lecture4all,
title = "{LECTURE}4{ALL}: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos",
author = "Hannemann, Torben and
Hammerschmidt, Frank and
Kazemi, Simon and
Stange, Gregor and
Wrobel, Viktoria and
Geislinger, Robert and
Yimam, Seid Muhie",
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://aclanthology.org/2025.acl-demo.59/",
doi = "10.18653/v1/2025.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."
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%0 Conference Proceedings
%T LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos
%A Hannemann, Torben
%A Hammerschmidt, Frank
%A Kazemi, Simon
%A Stange, Gregor
%A Wrobel, Viktoria
%A Geislinger, Robert
%A Yimam, Seid Muhie
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F hannemann-etal-2025-lecture4all
%X 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.
%R 10.18653/v1/2025.acl-demo.59
%U https://aclanthology.org/2025.acl-demo.59/
%U https://doi.org/10.18653/v1/2025.acl-demo.59
%P 614-620
Markdown (Informal)
[LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos](https://aclanthology.org/2025.acl-demo.59/) (Hannemann et al., ACL 2025)
ACL