论文标题
语义坐标分析揭示了AI字段的语言变化
Semantic coordinates analysis reveals language changes in the AI field
论文作者
论文摘要
语义转变可以反映数百年来信念的变化，但是尚不清楚是否可以在短时间内检测到快速变化的社区的趋势。我们提出了语义坐标分析，这是一种基于语义转移的方法，它揭示了在短时间内的字段出版物（我们以AI为例）内的语言变化。我们使用手套式的概率比从多个角度量化转移方向和扩展。我们表明，语义坐标分析可以检测转变，以回荡研究兴趣的变化（例如，“深”从“严格”转变为“神经”），并且基于短期出版物的出版物，研究活动的发展（e，e，g。，“协作”所包含的“竞争”比“协作”少于“协作”）。
Semantic shifts can reflect changes in beliefs across hundreds of years, but it is less clear whether trends in fast-changing communities across a short time can be detected. We propose semantic coordinates analysis, a method based on semantic shifts, that reveals changes in language within publications of a field (we use AI as example) across a short time span. We use GloVe-style probability ratios to quantify the shifting directions and extents from multiple viewpoints. We show that semantic coordinates analysis can detect shifts echoing changes of research interests (e.g., "deep" shifted further from "rigorous" to "neural"), and developments of research activities (e,g., "collaboration" contains less "competition" than "collaboration"), based on publications spanning as short as 10 years.
