Learning Objectives
Understand aspect (telic vs. atelic) and aktionsart classes in event semantic structure
Analyze systematic temporal reasoning failures in LLMs through a cognitive-linguistic lens
Apply event structure analysis to improve AI performance on temporal question-answering tasks
Evaluate current AI temporal reasoning benchmarks critically using CL theoretical criteria
How AI represents time, duration, and the internal structure of events — and why temporal reasoning remains hard.
This lesson builds on the theoretical foundations established earlier in the module and extends your understanding of how cognitive-linguistic principles apply directly to modern AI systems.
Learning Objectives
Understand aspect (telic vs. atelic) and aktionsart classes in event semantic structure
Analyze systematic temporal reasoning failures in LLMs through a cognitive-linguistic lens
Apply event structure analysis to improve AI performance on temporal question-answering tasks
Evaluate current AI temporal reasoning benchmarks critically using CL theoretical criteria
Key Concepts
Understand aspect (telic vs. atelic) and aktionsart classes in event semantic structure
Analyze systematic temporal reasoning failures in LLMs through a cognitive-linguistic lens
Apply event structure analysis to improve AI performance on temporal question-answering tasks
Continue in the Full Interactive Course
Access quizzes, interactive diagrams, case studies, and the complete lesson content for all 32 lessons in the original interactive format.
Open Full Lesson