@inproceedings{bedi-etal-2017-event,
title = "Event Timeline Generation from History Textbooks",
author = "Bedi, Harsimran and
Patil, Sangameshwar and
Hingmire, Swapnil and
Palshikar, Girish",
editor = "Tseng, Yuen-Hsien and
Chen, Hsin-Hsi and
Lee, Lung-Hao and
Yu, Liang-Chih",
booktitle = "Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications ({NLPTEA} 2017)",
month = dec,
year = "2017",
address = "Taipei, Taiwan",
publisher = "Asian Federation of Natural Language Processing",
url = "https://aclanthology.org/W17-5912",
pages = "69--77",
abstract = "Event timeline serves as the basic structure of history, and it is used as a disposition of key phenomena in studying history as a subject in secondary school. In order to enable a student to understand a historical phenomenon as a series of connected events, we present a system for automatic event timeline generation from history textbooks. Additionally, we propose Message Sequence Chart (MSC) and time-map based visualization techniques to visualize an event timeline. We also identify key computational challenges in developing natural language processing based applications for history textbooks.",
}
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<abstract>Event timeline serves as the basic structure of history, and it is used as a disposition of key phenomena in studying history as a subject in secondary school. In order to enable a student to understand a historical phenomenon as a series of connected events, we present a system for automatic event timeline generation from history textbooks. Additionally, we propose Message Sequence Chart (MSC) and time-map based visualization techniques to visualize an event timeline. We also identify key computational challenges in developing natural language processing based applications for history textbooks.</abstract>
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%0 Conference Proceedings
%T Event Timeline Generation from History Textbooks
%A Bedi, Harsimran
%A Patil, Sangameshwar
%A Hingmire, Swapnil
%A Palshikar, Girish
%Y Tseng, Yuen-Hsien
%Y Chen, Hsin-Hsi
%Y Lee, Lung-Hao
%Y Yu, Liang-Chih
%S Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)
%D 2017
%8 December
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F bedi-etal-2017-event
%X Event timeline serves as the basic structure of history, and it is used as a disposition of key phenomena in studying history as a subject in secondary school. In order to enable a student to understand a historical phenomenon as a series of connected events, we present a system for automatic event timeline generation from history textbooks. Additionally, we propose Message Sequence Chart (MSC) and time-map based visualization techniques to visualize an event timeline. We also identify key computational challenges in developing natural language processing based applications for history textbooks.
%U https://aclanthology.org/W17-5912
%P 69-77
Markdown (Informal)
[Event Timeline Generation from History Textbooks](https://aclanthology.org/W17-5912) (Bedi et al., NLP-TEA 2017)
ACL
- Harsimran Bedi, Sangameshwar Patil, Swapnil Hingmire, and Girish Palshikar. 2017. Event Timeline Generation from History Textbooks. In Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017), pages 69–77, Taipei, Taiwan. Asian Federation of Natural Language Processing.