short-paper

Advancing Chinese Event Detection via Revisiting Character Information

Authors:

Zhongqing Wang,

Min ZhangAuthors Info & Claims

Transactions on Asian and Low-Resource Language Information Processing, Volume 21, Issue 4

Article No.: 78, Pages 1 - 9

https://doi.org/10.1145/3502197

Published: 11 February 2022 Publication History

Abstract

Recently, character information has been successfully introduced into the encoder-decoder event detection model to relieve the trigger-word mismatch problem, thus achieving impressive results in the languages without natural delimiters (i.e., Chinese). However, it is introduced into the encoder or the decoder separately, which makes the advantage of character information not be captured and represented adequately for event detection. In this article, we proposed a novel method to model character information in both the encoding and decoding stages to advance the neural event detection model. In particular, the proposed method can encode both words and characters and predict their event types jointly and further leverage interactions between word and its characters to optimize the inference. Experimental results show that the proposed model outperforms previous event detection methods on the ACE2005 Chinese benchmark. We release our code at Github.

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Cited By

Wan QWan CXiao KLu KLi CLiu XLiu DWooldridge MDy JNatarajan S(2024)Dependency structure-enhanced graph attention networks for event detectionProceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v38i17.29877(19098-19106)Online publication date: 20-Feb-2024
https://dl.acm.org/doi/10.1609/aaai.v38i17.29877
Li FDeng KMo YJi YTeng CJi D(2024)Enhancing Chinese Event Extraction with Event Trigger StructuresACM Transactions on Asian and Low-Resource Language Information Processing10.1145/366356723:7(1-18)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3663567
Zhu ZCheng XChen ZWang ZHuang ZZou YSerra ESpezzano F(2024)SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language UnderstandingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679676(3570-3580)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679676
Show More Cited By

Index Terms

Advancing Chinese Event Detection via Revisiting Character Information
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 21, Issue 4

July 2022

464 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3511099

Editor:
Imed Zitouni
Google, USA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 February 2022

Accepted: 01 November 2021

Revised: 01 August 2021

Received: 01 March 2021

Published in TALLIP Volume 21, Issue 4

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Cited By

Wan QWan CXiao KLu KLi CLiu XLiu DWooldridge MDy JNatarajan S(2024)Dependency structure-enhanced graph attention networks for event detectionProceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v38i17.29877(19098-19106)Online publication date: 20-Feb-2024
https://dl.acm.org/doi/10.1609/aaai.v38i17.29877
Li FDeng KMo YJi YTeng CJi D(2024)Enhancing Chinese Event Extraction with Event Trigger StructuresACM Transactions on Asian and Low-Resource Language Information Processing10.1145/366356723:7(1-18)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3663567
Zhu ZCheng XChen ZWang ZHuang ZZou YSerra ESpezzano F(2024)SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language UnderstandingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679676(3570-3580)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679676
Wei KJin LZhang ZGuo ZLi XLiu QFeng W(2024)More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role LabellingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/358226123:5(1-21)Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1145/3582261
Roy ASharma ISarkar SGoyal P(2023)Meta-ED: Cross-lingual Event Detection Using Meta-learning for Indian LanguagesACM Transactions on Asian and Low-Resource Language Information Processing10.1145/355534022:2(1-22)Online publication date: 21-Feb-2023
https://dl.acm.org/doi/10.1145/3555340
Dai LWang BXiang WMo Y(2023)Modeling Character–Word Interaction via a Novel Mesh Transformer for Chinese Event DetectionNeural Processing Letters10.1007/s11063-023-11382-255:8(11429-11448)Online publication date: 11-Sep-2023
https://dl.acm.org/doi/10.1007/s11063-023-11382-2

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