DataBros@Information Retrieval from Microblogs during Disasters(IRMiDis)
نویسندگان
چکیده
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 content, such as sympathy for the victims of the disaster. Hence, automated IR techniques are needed to find and process such information.[1]
منابع مشابه
Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis)
The FIRE 2017 Information Retrieval from Microblogs during Disasters (IRMiDis) track focused on retrieval and matching of needs and availabilities of resources from microblogs posted on Twitter during disaster events. A dataset of around 67,000 microblogs (tweets) in English as well as in local languages such as Hindi and Nepali, posted during the Nepal earthquake in April 2015, was made availa...
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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...
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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 sys...
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