Word Embeddings for Information Extraction from Tweets

Surajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay
2016 Forum for Information Retrieval Evaluation  
This paper describes our approach on "Information Extraction from Microblogs Posted during Disasters" as an attempt in the shared task of the Microblog Track at Forum for Information Retrieval Evaluation (FIRE) 2016 [2]. Our method uses vector space word embeddings to extract information from microblogs (tweets) related to disaster scenarios, and can be replicated across various domains. The system, which shows encouraging performance, was evaluated on the Twitter dataset provided by the FIRE 2016 shared task.
dblp:conf/fire/DasguptaKDNB16 fatcat:ooojppcgk5f55l4zzwcj65wcly