Extracting Message Sequence Charts from Hindi Narrative Text

Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Palshikar, Pushpak Bhattacharyya, Vasudeva Varma


Abstract
In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi. An MSC is a formal representation allowing the depiction of actors and interactions among these actors in a scenario, apart from supporting a rich framework for formal inference. We propose an approach to extract MSC actors and interactions from a Hindi narrative. As a part of the approach, we enrich an existing event annotation scheme where we provide guidelines for annotation of the mood of events (realis vs irrealis) and guidelines for annotation of event arguments. We report performance on multiple evaluation criteria by experimenting with Hindi narratives from Indian History. Though Hindi is the fourth most-spoken first language in the world, from the NLP perspective it has comparatively lesser resources than English. Moreover, there is relatively less work in the context of event processing in Hindi. Hence, we believe that this work is among the initial works for Hindi event processing.
Anthology ID:
2020.nuse-1.11
Volume:
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events
Month:
July
Year:
2020
Address:
Online
Venues:
ACL | NUSE | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
87–96
Language:
URL:
https://aclanthology.org/2020.nuse-1.11
DOI:
10.18653/v1/2020.nuse-1.11
Bibkey:
Cite (ACL):
Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Palshikar, Pushpak Bhattacharyya, and Vasudeva Varma. 2020. Extracting Message Sequence Charts from Hindi Narrative Text. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, pages 87–96, Online. Association for Computational Linguistics.
Cite (Informal):
Extracting Message Sequence Charts from Hindi Narrative Text (Hingmire et al., NUSE 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.nuse-1.11.pdf
Video:
 http://slideslive.com/38929750