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Vol. 10 (2022)

TACL approved

Decomposing and Recomposing Event Structure

Published 2022-01-28

  • William Andrew Horsley Gantt
    • ,
  • Lelia Glass
    • ,
  • Aaron Steven White

William Andrew Horsley Gantt
University of Rochester

Lelia Glass
Georgia Institute of Technology

Aaron Steven White
University of Rochester

Abstract

We present an event structure classification empirically derived from inferential properties annotated on sentence- and document-level Universal Decompositional Semantics (UDS) graphs. We induce this classification jointly with semantic role, entity, and event-event relation classifications using a document-level generative model structured by these graphs. To support this induction, we augment existing annotations found in the UDS1.0 dataset, which covers the entirety of the English Web Treebank, with an array of inferential properties capturing fine-grained aspects of the temporal and aspectual structure of events. The resulting dataset (available at decomp.io) is the largest annotation of event structure and (partial) event coreference to date.
Article at MIT Press Presented at ACL 2022

Author Biography

William Andrew Horsley Gantt

PhD student in computer science