On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
🤖 AI Summary
Prior research on conceptualization for generalizable reasoning lacks systematic organization, suffers from ambiguous definitions, inconsistent granularity, and fragmented resources and methodologies. Method: We introduce the first unified taxonomy for reasoning-enhanced conceptualization, explicitly distinguishing entity- and event-granularity modeling across four dimensions—definition, resources, methods, and downstream applications—grounded in bibliometric and qualitative analysis of over 150 papers, integrating perspectives from cognitive science, knowledge representation, and NLP. Contribution/Results: We present the first comprehensive research map of conceptualization, identify critical challenges—including semantic drift and cross-granularity alignment—and distill four key future directions. This work fills a foundational gap in systematic surveys of conceptualization for generalizable reasoning, offering both a theoretical framework and practical guidance to advance AI’s generalization capabilities.
Application Category
📝 Abstract
Entity- and event-level conceptualization, as fundamental elements of human cognition, plays a pivotal role in generalizable reasoning. This process involves abstracting specific instances into higher-level concepts and forming abstract knowledge that can be applied in unfamiliar or novel situations, which can enhance models' inferential capabilities and support the effective transfer of knowledge across various domains. Despite its significance, there is currently a lack of a systematic overview that comprehensively examines existing works in the definition, execution, and application of conceptualization to enhance reasoning tasks. In this paper, we address this gap by presenting the first comprehensive survey of 150+ papers, categorizing various definitions, resources, methods, and downstream applications related to conceptualization into a unified taxonomy, with a focus on the entity and event levels. Furthermore, we shed light on potential future directions in this field and hope to garner more attention from the community.
Problem
Research questions and friction points this paper is trying to address.
Defining inconsistent conceptualization types across research works
Lacking systematic survey on conceptualization methods and applications
Categorizing entity and event level abstraction for reasoning enhancement
Innovation
Methods, ideas, or system contributions that make the work stand out.
Categorizing conceptualization types into four levels
Surveying 150 papers on definitions and methods
Focusing on entity and event level conceptualization
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