id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-020896-yrocw53j	Agarwal, Mansi	MEMIS: Multimodal Emergency Management Information System	2020-03-17		.txt	text/plain	4874	270	52	We present MEMIS, a system that can be used in emergencies like disasters to identify and analyze the damage indicated by user-generated multimodal social media posts, thereby helping the disaster management groups in making informed decisions. To this end, we propose MEMIS, a multimodal system capable of extracting information from social media, and employs both images and text for identifying damage and its severity in real-time (refer Sect. Therefore, we effectively have three models for each modality: first for filtering the informative tweets, then for those pertaining to the infrastructural damage (or any other category related to the relief group), and finally for assessing the severity of damage present. Similarly, if at least one of the text and the image modality predicts an informative tweet as containing infrastructural damage, the tweet undergoes severity analysis. Here, we use attention fusion to combine the feature interpretations from the text and image modalities for the severity analysis module [12, 26] .	./cache/cord-020896-yrocw53j.txt	./txt/cord-020896-yrocw53j.txt