将时间关系抽取转化为交互式游戏，通过点对点比较实现更灵活的标注。
The Temporal Game: A New Perspective on Temporal Relation Extraction
- 把时间关系拆解为起点与终点的点对点比较，逐步推理。
- 支持区间和瞬时实体，可自动推导并保持关系一致性。
- 适合做时间推理研究、标注工具开发或教学演示。
本文提出时间博弈（Temporal Game），一种新型的时间关系抽取方法，将任务视为交互式游戏。不直接标注区间级关系，而是将其分解为时间实体起点与终点之间的点对点比较。每一步中，玩家判断一个点关系，系统通过时间闭包推导额外关系并保证一致性。该点基策略天然支持区间与瞬时实体，实现了比以往方法更细粒度、更灵活的标注。同时，该框架为训练强化学习代理奠定基础，将时间标注视为序列决策任务。演示包含游戏模式（用户在TempEval-3数据集上标注并获评分反馈）与标注模式（支持自定义文档标注及时间线导出），兼具研究工具与标注接口功能。演示地址：https://temporal-game.inesctec.pt，源码开源，旨在推动时间推理与标注领域的进一步研究与社区协作。
原文摘要 · Abstract (English)
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 https://temporal-game.inesctec.pt, and the source code is open-sourced to foster further research and community-driven development in temporal reasoning and annotation.
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