An NLP-Powered Human Rights Monitoring Platform
An NLP-Powered Human Rights Monitoring Platform
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DOI：
10.1016/j.eswax.2020.100023
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Ayman Alhelbawy;M. Lattimer;Udo Kruschwitz;C. Fox;Massimo Poesio
中科院分区：
文献类型：
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作者：
Ayman Alhelbawy;M. Lattimer;Udo Kruschwitz;C. Fox;Massimo Poesio
长期以来，有效的信息管理一直是企业面临的一个问题，因为它们的规模还不够大，无法负担得起自己的部门专门负责这项任务。日益增长的信息过载使这个问题更加突出。另一方面，我们最近目睹了智能工具、软件包和资源的出现，这些工具、软件包和资源使知识从学术界迅速转移到工业、政府和其他潜在受益者成为可能。在这里，我们展示了采用最先进的自然语言处理（NLP）和众包方法如何通过使用一种支持冲突地区人权监测的新方法改变人权组织的信息和知识管理，从而为人权组织带来可衡量的利益。更具体地说，我们报告挖掘和分类阿拉伯语Twitter，以便在特定地理区域内的连续社交媒体数据流中识别潜在的侵犯人权事件。结果表明，LSTM等深度学习方法使我们能够将该任务的精度提高到接近85%，f1分数为75%。除了科学见解，我们还证明了框架的可行性，该框架已作为伊拉克停火门户网站部署了三年多，已经从伊拉克境内收集了数千份目击者报告。这项工作是一个案例研究，说明人工智能的进步如何扰乱了规模相对较小的组织的运作。
Effective information management has long been a problem in organisations that are not of a scale that they can afford their own department dedicated to this task. Growing information overload has made this problem even more pronounced. On the other hand we have recently witnessed the emergence of intelligent tools, packages and resources that made it possible to rapidly transfer knowledge from the academic community to industry, government and other potential beneficiaries. Here we demonstrate how adopting state-of-the-art natural language processing (NLP) and crowdsourcing methods has resulted in measurable benefits for a human rights organisation by transforming their information and knowledge management using a novel approach that supports human rights monitoring in conflict zones. More specifically, we report on mining and classifying Arabic Twitter in order to identify potential human rights abuse incidents in a continuous stream of social media data within a specified geographical region. Results show deep learning approaches such as LSTM allow us to push the precision close to 85% for this task with an F1-score of 75%. Apart from the scientific insights we also demonstrate the viability of the framework which has been deployed as theCeasefire Iraqportal for more than three years which has already collected thousands of witness reports from within Iraq. This work is a case study of how progress in artificial intelligence has disrupted even the operation of relatively small-scale organisations.