时态信息和事件置标语言：TIE-ML标记过程和模式1.0版
Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0
摘要：
时态信息和事件置标语言（TIE-ML）是一种标记策略和注释模式，用于提高语料库的时态和事件相关注释的效率和准确性，以促进基于机器学习的模型训练。对于事件的注释、时间顺序和持续时间，通过仅为时间关系和事件枚举提供极其简化的标记集，它明显更简单。与其他标准相比，例如时间置标语言（TimeML），它更容易使用，因为它放弃了复杂的形式主义、理论概念和注释方法。使用TimeML标注的语料库可以有损失地映射到TIE-ML，而TIE-ML标注可以完全映射到TimeML，但有一定的欠规范。
英文摘要：
Temporal Information and Event Markup Language (TIE-ML) is a markup strategy and annotation schema to improve the productivity and accuracy of temporal and event related annotation of corpora to facilitate machine learning based model training. For the annotation of events, temporal sequencing, and durations, it is significantly simpler by providing an extremely reduced tag set for just temporal relations and event enumeration. In comparison to other standards, as for example the Time Markup Language (TimeML), it is much easier to use by dropping sophisticated formalisms, theoretical concepts, and annotation approaches. Annotations of corpora using TimeML can be mapped to TIE-ML with a loss, and TIE-ML annotations can be fully mapped to TimeML with certain under-specification.
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。
