@InProceedings{bedi-EtAl:2017:NLPTEA,
  author    = {Bedi, Harsimran  and  Patil, Sangameshwar  and  Hingmire, Swapnil  and  Palshikar, Girish},
  title     = {Event Timeline Generation from History Textbooks},
  booktitle = {Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  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.},
  url       = {http://www.aclweb.org/anthology/W17-5912}
}