An Event Extraction System via Neural Networks

In this paper we describe the IIT KGP team’s participation in the Event Extraction task at FIRE 2017. We have developed an event extraction system which can extract event-phrases from tweets written in Indian language scripts along with Roman script. We designed our system on Hindi language and then used the same system for Malayalam and Tamil languages. We have submitted two systems one uses pipelined architecture another uses non-pipelined architecture. In case of pipelined architecture we first identify the tweets which contain event inside it and then extract the eventphrase from those tweets. In case of non-pipelined system all the tweets are directly pass to the event extraction system. Though conceptually simple, non-pipelined approach gives better result than pipelined approach and achieves F1-score of 50.01, 48.29 and 51.80 on Hindi, Malayalam and Tamil dataset respectively.