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Minimally Supervised Chinese Event Extraction from Multiple Views

Published: 04 November 2016 Publication History

Abstract

Although several semi-supervised learning models have been proposed for English event extraction, there are few successful stories in Chinese due to its special characteristics. In this article, we propose a novel minimally supervised model for Chinese event extraction from multiple views. Besides the traditional pattern similarity view (PSV), a semantic relationship view (SRV) is introduced to capture the relevant event mentions from relevant documents. Moreover, a morphological structure view (MSV) is incorporated to both infer more positive patterns and help filter negative patterns via morphological structure similarity. An evaluation of the ACE 2005 Chinese corpus shows that our minimally supervised model significantly outperforms several strong baselines.

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Cited By

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  • (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
  • (2023)Semi-Supervised Event Extraction Incorporated With Topic Event FrameJournal of Database Management10.4018/JDM.31845334:1(1-26)Online publication date: 24-Feb-2023
  • (2020)Subject Event Extraction from Chinese Court Verdict Case via Frame-filling2020 IEEE International Conference on Knowledge Graph (ICKG)10.1109/ICBK50248.2020.00012(12-19)Online publication date: Aug-2020
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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 16, Issue 2
    TALLIP Notes and Regular Papers
    June 2017
    136 pages
    ISSN:2375-4699
    EISSN:2375-4702
    DOI:10.1145/3008658
    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: 04 November 2016
    Accepted: 01 September 2016
    Revised: 01 April 2016
    Received: 01 October 2015
    Published in TALLIP Volume 16, Issue 2

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    Author Tags

    1. Chinese event extraction
    2. minimally supervised model
    3. morphological structure view
    4. semantic relationship view

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    Cited By

    View all
    • (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
    • (2023)Semi-Supervised Event Extraction Incorporated With Topic Event FrameJournal of Database Management10.4018/JDM.31845334:1(1-26)Online publication date: 24-Feb-2023
    • (2020)Subject Event Extraction from Chinese Court Verdict Case via Frame-filling2020 IEEE International Conference on Knowledge Graph (ICKG)10.1109/ICBK50248.2020.00012(12-19)Online publication date: Aug-2020
    • (2019)A Survey of Event Extraction From TextIEEE Access10.1109/ACCESS.2019.29568317(173111-173137)Online publication date: 2019

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