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Microblog Retrieval During Disasters: Comparative Evaluation of IR Methodologies

机译：灾难期间的微博检索：红外方法的比较评估

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摘要

Microblogging sites are important sources of situational information during any natural or man-made disasters. Hence, it is important to design and test Information Retrieval (IR) systems that retrieve information from microblogs during disasters. With this perspective, a track was organized at the 8th meeting of Forum for Information Retrieval Evaluation (FIRE) 2016, focused on microblog retrieval during disaster events. A collection of about 50,000 microblogs posted during the Nepal Earthquake in April 2015 was released, along with a set of seven pragmatic information needs during a disaster situation. The task was to retrieve microblogs relevant to these information needs. Ten teams participated in the task, and fifteen runs were submitted. Evaluation of the performances of various microblog retrieval methodologies, as submitted by the participants, revealed several challenges associated with microblog retrieval. In this chapter, we describe our experience in organizing the FIRE track on microblog retrieval during disaster events. Additionally, we propose two novel methodologies for the said task, which perform better than all the methodologies submitted to the FIRE track.
机译：在任何自然或人为灾难中，微博站点都是态势信息的重要来源。因此，重要的是设计和测试在灾难期间从微博中检索信息的信息检索（IR）系统。从这个角度出发，在2016年信息检索评估论坛（FIRE）第八次会议上组织了一个跟踪活动，重点关注灾难事件期间的微博检索。 2015年4月尼泊尔地震期间发布了大约50,000条微博，其中包括在灾难情况下的七种实用信息需求。任务是检索与这些信息需求相关的微博。 10个团队参加了该任务，并提交了15个运行。参与者提交的各种微博检索方法的性能评估揭示了与微博检索相关的若干挑战。在本章中，我们描述了我们在灾难事件期间组织FIRE跟踪微博检索方面的经验。此外，我们为上述任务提出了两种新颖的方法，它们的性能比提交给FIRE轨道的所有方法都要好。

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