mlsanityData to 7 Oct 2026

An overview of event extraction and its applications

arXiv 2111.03212 ↗First posted 5 Nov 2021cs.CL cs.AI cs.LGcited by 5

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Abstract (arXiv)

With the rapid development of information technology, online platforms have produced enormous text resources. As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to automatically extract events from human language. However, there are limited literature surveys on event extraction. Existing review works either spend much effort describing the details of various approaches or focus on a particular field. This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction. A trait of this survey is that it provides an overview in moderate complexity, avoiding involving too many details of particular approaches. This study focuses on discussing the common characters, application fields, advantages, and disadvantages of representative works, ignoring the specificities of individual approaches. Finally, we summarize the common issues, current solutions, and future research directions. We hope this work could help researchers and practitioners obtain a quick overview of recent event extraction.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 23 of its 111 references that are in the map. First posted on arXiv 5 Nov 2021.

Builds on

23 of 111 references.

References · 23

  1. 2014Unsupervised Domain Adaptation by Backpropagationcited by 1,906
  2. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  3. 2018Jointly Multiple Events Extraction via Attention-based Graph Information Aggregationcited by 73
  4. 2017Event Representations for Automated Story Generation with Deep Neural Netscited by 62
  5. 2019Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extractioncited by 54
  6. 2020GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extractioncited by 43
  7. 2020Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extractioncited by 32
  8. 2021Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networkscited by 32
  9. 2020KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervisioncited by 20
  10. 2019Open Domain Event Extraction Using Neural Latent Variable Modelscited by 17
  11. 2021Corpus-based Open-Domain Event Type Inductioncited by 17
  12. 2021CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extractioncited by 15
11 more
  1. 2020Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptationcited by 13
  2. 2019Financial Event Extraction Using Wikipedia-Based Weak Supervisioncited by 11
  3. 2018Semi-Supervised Event Extraction with Paraphrase Clusterscited by 10
  4. 2019Open Event Extraction from Online Text using a Generative Adversarial Networkcited by 10
  5. 2021Modality and Negation in Event Extractioncited by 6
  6. 2013Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrencecited by 5
  7. 2019Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimescited by 5
  8. 2021ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19cited by 5
  9. 2017A Short Survey of Biomedical Relation Extraction Techniquescited by 3
  10. 2021Visualization Techniques to Enhance Automated Event Extractioncited by 3
  11. 2017Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extractioncited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 2; 2025: 1; 2026: 1.

5 papers.