Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis)

HLJIT2017-IRMIDIS@IRMiDis-FIRE2017: Information Retrieval from Microblogs during Disasters

DataBros@Information Retrieval from Microblogs during Disasters(IRMiDis)

Microblogging sites like Twitter are increasingly being used for aiding relief operations during disaster events. In such situations, identifying actionable information like needs and availabilities of various types of resources is critical for effective coordination of post disaster relief operations. However, such critical information is usually submerged within a lot of conversational conten...

Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters

The FIRE 2016 Microblog track focused on retrieval of microblogs (tweets posted on Twitter) during disaster events. A collection of about 50,000 microblogs posted during a recent disaster event was made available to the participants, along with a set of seven practical information needs during a disaster situation. The task was to retrieve microblogs relevant to these needs. 10 teams participat...

IIT BHU at FIRE 2017 IRMiDis Track - Fully Automatic Approaches to Information Retrieval

This paper presents the work of the team of IIT (BHU) Varanasi for the IRMiDis track in FIRE 2017. The task involved classifying tweets posted during a disaster into those expressing need and availability of various types of resources, given some tweets from the Nepal 2015 earthquake. We submitted two runs, both of which were fully automatic.

Semi-automatic keyword based approach for FIRE 2016 Microblog Track

This paper describes our semi-automatic keyword based approach for the four topics of Information Extraction from Microblogs Posted during Disasters task at Forum for Information Retrieval Evaluation (FIRE) 2016. The approach consists three phases;