论文标题
合成文本检测：系统文献综述
Synthetic Text Detection: Systemic Literature Review
论文作者
论文摘要
在文本分析和处理字段中，生成的文本攻击比以往任何时候都更容易创建。为了打击这些攻击，开源模型和数据集已成为创建自动检测算法以防御真实性的主要趋势。为此，综合文本检测已成为越来越可行的研究主题。为了创建当前文献状态的快照并放松未来作者的进入障碍，这篇综述的目的是为了创建快照。为了实现这一目标，我们确定了该领域的研究趋势和挑战。
Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before. To combat these attacks open sourcing models and datasets have become a major trend to create automated detection algorithms in defense of authenticity. For this purpose, synthetic text detection has become an increasingly viable topic of research. This review is written for the purpose of creating a snapshot of the state of current literature and easing the barrier to entry for future authors. Towards that goal, we identified few research trends and challenges in this field.
