Narrative to Trajectory (N2T+)：从人口贩运文本语料库中提取生死路线
Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora
AI总结：
本文提出 N2T+ 系统，利用数据科学与 NLP 从人口贩运幸存者叙述中提取、消歧并绘制路线地点，实验显示其地理位置检测显著优于现有方法。
摘要：
世界某些地区的气候变化和政治动荡正给许多社区带来极端困苦，并迫使数百万弱势人口放弃家园，前往更安全的土地寻求庇护。由于国际法尚未完全准备好应对移民危机，人们依赖剥削性走私者网络逃离灾难，以求过上稳定生活。在走私旅程中，如果移民无力向走私者支付费用，就可能成为人口贩运的受害者，并可能被迫从事强迫劳动。政府机构和反贩运组织试图根据幸存者的叙述识别人口贩运路线，以获取知识并帮助预防此类犯罪。本文提出了一个名为 Narrative to Trajectory (N2T+) 的系统，用于提取贩运路线的轨迹。N2T+ 使用数据科学和自然语言处理技术分析贩运叙述，自动提取相关地点名称，消除可能的名称歧义，并在地图上绘制贩运路线。在一项比较评估中，我们表明，所提出的多维方法在地理位置检测方面显著优于其他最先进技术。
英文摘要：
Climate change and political unrest in certain regions of the world are imposing extreme hardship on many communities and are forcing millions of vulnerable populations to abandon their homelands and seek refuge in safer lands. As international laws are not fully set to deal with the migration crisis, people are relying on networks of exploiting smugglers to escape the devastation in order to live in stability. During the smuggling journey, migrants can become victims of human trafficking if they fail to pay the smuggler and may be forced into coerced labor. Government agencies and anti-trafficking organizations try to identify the trafficking routes based on stories of survivors in order to gain knowledge and help prevent such crimes. In this paper, we propose a system called Narrative to Trajectory (N2T+), which extracts trajectories of trafficking routes. N2T+ uses Data Science and Natural Language Processing techniques to analyze trafficking narratives, automatically extract relevant location names, disambiguate possible name ambiguities, and plot the trafficking route on a map. In a comparative evaluation we show that the proposed multi-dimensional approach offers significantly higher geolocation detection than other state of the art techniques.
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。
