Safety Information Mining - What can NLP do in a disaster -
نویسندگان
چکیده
This paper describes efforts of NLP researchers to create a system to aid the relief efforts during the 2011 East Japan Earthquake. Specifically, we created a system to mine information regarding the safety of people in the disaster-stricken area from Twitter, a massive yet highly unorganized information source. We describe the large scale collaborative effort to rapidly create robust and effective systems for word segmentation, named entity recognition, and tweet classification. As a result of our efforts, we were able to effectively deliver new information about the safety of over 100 people in the disasterstricken area to a central repository for safety information.
منابع مشابه
How Social Media Text Analysis Can Inform Disaster Management
Digitalization and the rise of social media have led disaster management to the insight that modern information technology will have to play a key role in dealing with a crisis. In this context, the paper introduces a NLP software for social media text analysis that has been developed in cooperation with disaster managers in the European project Slandail. The aim is to show how state-of-the-art...
متن کاملIt Ain’t What You Do (But the Way That You Do It): Will Safety II Transform the Way We Do Patient Safety; Comment on “False Dawns and New Horizons in Patient Safety Research and Practice”
Mannion and Braithwaite outline a new paradigm for studying and improving patient safety – Safety II. In this response, I argue that Safety I should not be dismissed simply because the safety management strategies that are developed and enacted in the name of Safety I are not always true to the original philosophy of ‘systems thinking.’
متن کاملAnalysis of a possible root cause and mechanism for Soma mine disaster
A daunting mine disaster took place in 13 May 2014 at Soma and 301 men lost their lives. Brief information about the Eynez coal mine and some of the inherent characteristics of the field in terms of their effects on mining are presented. This paper basically concentrates on the factors that played an important role in the occurrence of this disaster. Progress of mine fire, firefighting, and res...
متن کاملThe Technique of Gas Disaster Information Feature Extraction based on Rough Set Theory
Gas accident has become the main contradiction which constrains the safety production of coal mine. It is one of the import issues in the field of coal mine safety to identify and analyze the dangerous factors that lead gas accidents, and establish an effective early-warming support system of gas in coal mine at present. In view of the characteristics of coal mine gas disaster, a high efficient...
متن کاملAnalysis and Forecast of Mining Accidents in Pakistan
In the mining sector, the barrier to obtain an efficient safety management system is the unavailability of future information regarding the accidents. This paper aims to use the auto-regressive integrated moving average (ARIMA) model, for the first time, to evaluate the underlying causes that affect the safety management system corresponding to the number of accidents and fatalities in the surf...
متن کامل