Semantic coordinates analysis reveals language changes in the AI field
University of Toronto（多伦多大学）；Vector Institute（向量研究所）；Surgical Safety Technologies（外科安全技术公司）；Li Ka Shing Knowledge Institute, St Michael’s Hospital（李嘉诚知识研究所，圣迈克尔医院）
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.
Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial Ontologies
Indiana University（印第安纳大学）；University of Pittsburgh（匹兹堡大学）；National Institutes of Health（美国国立卫生研究院）；Washington University（华盛顿大学）；University of Florida（佛罗里达大学）；Vanderbilt University（范德堡大学）；Stanford University（斯坦福大学）；Harvard Medical School（哈佛医学院）
KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates
School of Computer Science and Software Engineering, Shenzhen University（深圳大学计算机科学与软件工程学院）；Department of Electrical Engineering, Tsinghua University（清华大学电子工程系）；School of Artificial Intelligence, Shenzhen University（深圳大学人工智能学院）；Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen University（广东省智能信息处理重点实验室）
SICI: A Semantic-Pragmatic Complexity Index Reveals Regime Shifts in LLM Stance Detection
School of Cyber Science and Technology, University of Science and Technology of China（中国科学技术大学网络空间安全学院）；School of Artificial Intelligence, Shenzhen Technology University（深圳技术大学人工智能学院）
ERA-IT: Aligning Semantic Models with Revealed Economic Preference for Real-Time and Explainable Patent Valuation
School of Computing（计算学院）；Macquarie University（麦考瑞大学）；School of Computer Science（计算机科学学院）；University of Technology Sydney（悉尼技术大学）；School of Management（管理学院）；Zhejiang University（浙江大学）
Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
University of California San Diego（加州大学圣地亚哥分校）；ShanghaiTech University（上海科技大学）；Kempner Institute, Harvard University（哈佛大学凯普勒研究所）；Shanghai Jiao Tong University（上海交通大学）；Carnegie Mellon University（卡内基梅隆大学）；Massachusetts Institute of Technology（麻省理工学院）
