Christel Kemke

Papers

Total Citations

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About

Christel Kemke’s research lies at the intersection of artificial intelligence, natural language processing, and multi-agent systems, with a particular focus on enabling intuitive human-robot and human-agent communication. Her major contributions center on bridging the gap between linguistic commands and executable actions. In her most cited work, "Natural Language Communication Between Human and Artificial Agents" (2006, 9 citations), she laid the groundwork for systems that allow humans to interact with artificial agents using everyday language. Expanding on this, her 2007 paper, "From Saying to Doing," introduced a novel framework that connects natural language instructions to a generic action/object hierarchy. This hierarchy enables artificial agents and robots to interpret and execute complex command sentences by mapping linguistic structures directly onto action representations. Her 2006 paper on action representation further detailed the architecture, combining a natural language parser with case frame analysis for semantic interpretation. While her citation counts reflect a specialized niche, her work is foundational for developers building intuitive, language-driven interfaces for autonomous systems. Kemke’s research remains a valuable reference for those exploring how to make artificial agents truly responsive to human directives.