Abstract
In this paper we demo the Temporal Game, a novel approach to temporal relation extraction that casts the task as an interactive game. Instead of directly annotating interval-level relations, our approach decomposes them into point-wise comparisons between the start and end points of temporal entities. At each step, players classify a single point relation, and the system applies temporal closure to infer additional relations and enforce consistency. This point-based strategy naturally supports both interval and instant entities, enabling more fine-grained and flexible annotation than any previous approach. The Temporal Game also lays the groundwork for training reinforcement learning agents, by treating temporal annotation as a sequential decision-making task. To showcase this potential, the demo presented in this paper includes a Game mode, in which users annotate texts from the TempEval-3 dataset and receive feedback based on a scoring system, and an Annotation mode, that allows custom documents to be annotated and resulting timeline to be exported. Therefore, this demo serves both as a research tool and an annotation interface. The demo is publicly available at this https URL, and the source code is open-sourced to foster further research and community-driven development in temporal reasoning and annotation.
Abstract (translated)
在这篇论文中，我们展示了Temporal Game，这是一种新颖的时序关系抽取方法，它将任务视为互动游戏。我们的方法不是直接标注区间级别的关系，而是将其分解为时间实体起始点和终点之间的单点比较。在每一步中，玩家都会对单一的点关系进行分类，系统则通过应用时序闭包来推断额外的关系并确保一致性。这种基于点的方法自然支持间隔和瞬间实体，提供了比以往任何方法都更精细、更灵活的标注功能。Temporal Game也为训练强化学习代理奠定了基础，它将时间标注视为一个顺序决策任务。为了展示这一潜力，本文所呈现的演示包括一个Game模式，在此模式中用户可以对TempEval-3数据集中的文本进行注释，并根据评分系统接收反馈；以及一个Annotation模式，允许自定义文档被标注并且生成的时间线可导出。因此，该演示既是一种研究工具，也是一项注释界面。 公开版的Temporal Game可以在[此处](https://this https URL/)访问，源代码也是开源的，旨在促进时序推理和社区驱动的发展方面的进一步研究。
URL
https://arxiv.org/abs/2509.00250
