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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Toward Human-Centered AI-Assisted Terminology Work

    A new paper proposes a human-centered approach to integrating generative AI into terminology work, emphasizing that AI should augment, not replace, human terminologists. The authors argue that while AI can automate certain tasks, its unreliability necessitates human oversight for accuracy and bias management. This framework aims to enhance terminologists' capabilities and decision-making authority, ensuring AI supports specialized communication and knowledge transmission. AI

    Toward Human-Centered AI-Assisted Terminology Work

    IMPACT This paper suggests a framework for AI integration that prioritizes human expertise, potentially influencing the development of AI tools in specialized fields.

  2. The representation of contextual variation through flexible terminological definitions

    This doctoral thesis explores how contextual variations influence specialized environmental concepts, proposing a "flexible terminological definition" approach. It suggests that definitions should reflect context, moving beyond traditional decontextualized meanings. The research identifies three phenomena of domain-dependent contextual variation: modulation, perspectivization, and subconceptualization, and provides guidelines for constructing flexible definitions. AI

    The representation of contextual variation through flexible terminological definitions