The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction
Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss
2021Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing29 citationsDOIOpen Access PDF
Abstract
Event schemas encode knowledge of stereotypical structures of events and their connections. As events unfold, schemas are crucial to act as a scaffolding. Previous work on event schema induction focuses either on atomic events or linear temporal event sequences, ignoring the interplay between events via arguments and argument relations. We introduce a new concept of Temporal Complex Event Schema: a graph-based schema representation that encompasses events, arguments, temporal connections and argument relations.
Topics & Concepts
Computer scienceSchema (genetic algorithms)Schema matchingConceptual schemaDatabase schemaTheoretical computer scienceArtificial intelligenceNatural language processingInformation retrievalData miningCognitive psychologyData integrationPsychologyDatabase designRecallTopic ModelingAdvanced Graph Neural NetworksNatural Language Processing Techniques