Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework

Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Event detection (ED), detecting events with specified types observed in given texts, is critical to many downstream applications. Existing ED methods generally require high-quality triggers annotated by human experts, which is labor-intensive, especially for those nontrivial texts about breaking events. In this paper, we propose a novel trigger-free ED framework that detects multiple events from a given text without pre-defined triggers. Specifically, we first shed light on the event correlations with input texts using a joint embedding paradigm. Next, we devise derangement-based contrastive learning to model fine-grained correlations between multi-event instances. Since events in training benchmarks are usually imbalanced, we further design a simple yet effective event derangement module for balanced training. Experimental results on two benchmarks show that our trigger-free method is remarkably competitive to state-of-the-art trigger-based baselines.
Original languageEnglish
Title of host publicationICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages10171-10175
Number of pages5
ISBN (Print)979-8-3503-4486-8
DOIs
Publication statusPublished - 14 Apr 2024
EventIEEE International Conference on Acoustics, Speech and Signal Processing: Signal Processing: The Foundation for True Intelligence - COEX, Seoul, Korea, Democratic People's Republic of
Duration: 14 Apr 202419 Apr 2024
https://2024.ieeeicassp.org/ (conference website)
https://2024.ieeeicassp.org/program-schedule/ (conference program)

Publication series

NameInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
PublisherIEEE

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated titleICASSP 2024
Country/TerritoryKorea, Democratic People's Republic of
CitySeoul
Period14/04/2419/04/24
Internet address

User-Defined Keywords

  • Event detection
  • trigger-free paradigm
  • multi-event correlations
  • balanced training

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