XISM让语言学家与算法协作构建可解释的语义地图。
XISM: an eXploratory and Interactive Graph Tool to Visualize and Evaluate Semantic Map Models
- 结合数据推理与专家干预，分步生成语义地图候选
- 支持可视化交互修改边关系，实时反馈评估指标
- 适合需要透明可控的语义建模研究者使用
语义地图通过图结构展现语义功能间的系统性关联，在语言类型学中广泛应用。然而现有构建方法要么依赖耗时的人工判断，要么完全自动化而缺乏专家参与，导致可扩展性与可解释性难以兼顾。本文提出XISM，一个探索性与交互式图可视化工具，通过自上而下的流程生成候选地图，并允许用户在可视化界面中迭代修正边关系，同时获得实时度量反馈。在三个语义领域的实验及专家访谈表明，XISM显著提升了语义地图构建过程中的决策透明度与可控性，同时保持计算效率。该系统提供了一种可扩展且可解释的协作式语义地图构建范式。系统网址：https://app.xism2025.xin/，源代码：https://github.com/hank317/XISM，演示视频：https://youtu.be/m5laLhGn6Ys。
原文摘要 · Abstract (English)
Semantic map models visualize systematic relations among semantic functions through graph structures and are widely used in linguistic typology. However, existing construction methods either depend on labor-intensive expert reasoning or on fully automated systems lacking expert involvement, creating a tension between scalability and interpretability. We introduce \textbf{XISM}, an interactive system that combines data-driven inference with expert knowledge. XISM generates candidate maps via a top-down procedure and allows users to iteratively refine edges in a visual interface, with real-time metric feedback. Experiments in three semantic domains and expert interviews show that XISM improves linguistic decision transparency and controllability in semantic-map construction while maintaining computational efficiency. XISM provides a collaborative approach for scalable and interpretable semantic-map building. The system\footnote{https://app.xism2025.xin/} , source code\footnote{https://github.com/hank317/XISM} , and demonstration video\footnote{https://youtu.be/m5laLhGn6Ys} are publicly available.
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