废墟下的推文：地震灾害中呼救信息的检测
Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster
摘要：
2023年土耳其和叙利亚地震的悲剧再次暴露了社交媒体的重要性。许多被困在废墟下的受害者通过在Twitter上发布消息寻求帮助。我们提出了一个交互式工具，为失踪和被困人员提供情况感知，并为救援和捐赠工作提供救灾。该系统（i）收集推文，（ii）对求助的推文进行分类，（iii）提取重要的实体标签，以及（iv）在交互式地图屏幕中将它们可视化。我们的初步实验表明，在F1分数方面的性能是高达98.30的推文分类，和84.32的实体提取。可以在https://github.com/avaapm/deprem上访问演示、数据集和其他相关文件
英文摘要：
The importance of social media is again exposed in the recent tragedy of the 2023 Turkey and Syria earthquake. Many victims who were trapped under the rubble called for help by posting messages in Twitter. We present an interactive tool to provide situational awareness for missing and trapped people, and disaster relief for rescue and donation efforts. The system (i) collects tweets, (ii) classifies the ones calling for help, (iii) extracts important entity tags, and (iv) visualizes them in an interactive map screen. Our initial experiments show that the performance in terms of the F1 score is up to 98.30 for tweet classification, and 84.32 for entity extraction. The demonstration, dataset, and other related files can be accessed at https://github.com/avaapm/deprem
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
