Event Timeline Generation from History Textbooks

Harsimran Bedi, Sangameshwar Patil, Swapnil Hingmire, Girish Palshikar


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.
Anthology ID:
W17-5912
Volume:
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Venues:
NLP-TEA | WS
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
69–77
Language:
URL:
https://aclanthology.org/W17-5912
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Event Timeline Generation from History Textbooks (Bedi et al., 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-5912.pdf