The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …

Compiling and disseminating information about incidents and disasters is key to disaster
management and relief. But due to inherent limitations of the acquisition process, the …

Today we are using an unprecedented wealth of social media platforms to generate and
share information regarding a wide class of events, which include extreme meteorological …

The previous decades have observed the exponential growth of online social networks,
where billions of users exchange information with each other and generate tremendously …

Natural Language Processing Event Extraction work is crucial. Social media has become
increasingly significant in today's world. Using natural language, people can express their …

The use of social media data for disaster-type identification has been turning progressively
important in recent years. With the extensive dependency on social networking sites, people …

Social media can be an important, constantly updated, source of information concerning
natural disasters. User-generated, free text messages contain useful elements for the three …

Event Extraction is an important task in the widespread field of Natural Language
Processing (NLP). Though this task is adequately addressed in English with sufficient …

Using social media data during emergencies is challenging due to several factors, including
data availability, reliability, completeness, and heterogeneity. For what concerns the textual …

Social media like Twitter offer not only an unprecedented amount of user-generated content
covering developing emergencies but also act as a collector of news produced by …