Extracting Message Sequence Charts from Hindi Narrative Text

摘要: In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi. An MSC is formal allowing depiction actors and interactions among these scenario, apart from supporting rich framework inference. We an approach to extract Hindi narrative. As part approach, enrich existing event annotation scheme where provide guidelines mood events (realis vs irrealis) arguments. report performance on multiple evaluation criteria by experimenting with narratives Indian History. Though fourth most-spoken first language world, NLP perspective it has comparatively lesser resources than English. Moreover, there relatively less work context processing Hence, believe that initial works processing.