mlsanityData to 14 Oct 2026

Corpus-based Open-Domain Event Type Induction

arXiv 2109.03322 ↗First posted 7 Sep 2021cs.CLcited by 18

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Abstract (arXiv)

Traditional event extraction methods require predefined event types and their corresponding annotations to learn event extractors. These prerequisites are often hard to be satisfied in real-world applications. This work presents a corpus-based open-domain event type induction method that automatically discovers a set of event types from a given corpus. As events of the same type could be expressed in multiple ways, we propose to represent each event type as a cluster of <predicate sense, object head> pairs. Specifically, our method (1) selects salient predicates and object heads, (2) disambiguates predicate senses using only a verb sense dictionary, and (3) obtains event types by jointly embedding and clustering <predicate sense, object head> pairs in a latent spherical space. Our experiments, on three datasets from different domains, show our method can discover salient and high-quality event types, according to both automatic and human evaluations.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). Builds on 22 of its 60 references that are in the map. First posted on arXiv 7 Sep 2021.

Builds on

22 of 60 references.

References · 22

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2015Unsupervised Deep Embedding for Clustering Analysiscited by 767
  3. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  4. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 155
  5. 2017Zero-Shot Transfer Learning for Event Extractioncited by 66
  6. 2018Weakly-Supervised Neural Text Classificationcited by 66
  7. 2019Spherical Text Embeddingcited by 49
  8. 2018Weakly-Supervised Hierarchical Text Classificationcited by 42
  9. 2019SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemblecited by 25
  10. 2020Empower Entity Set Expansion via Language Model Probingcited by 25
  11. 2020Hierarchical Topic Mining via Joint Spherical Tree and Text Embeddingcited by 22
  12. 2018Word Sense Induction with Neural biLM and Symmetric Patternscited by 18
10 more
  1. 2019Open Domain Event Extraction Using Neural Latent Variable Modelscited by 17
  2. 2020Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansioncited by 13
  3. 2013Probabilistic Frame Inductioncited by 12
  4. 2018Semi-Supervised Event Extraction with Paraphrase Clusterscited by 10
  5. 2019Open Event Extraction from Online Text using a Generative Adversarial Networkcited by 10
  6. 2020SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discoverycited by 10
  7. 2016Joint Learning Templates and Slots for Event Schema Inductioncited by 9
  8. 2019Extending Event Detection to New Types with Learning from Keywordscited by 5
  9. 2018Unsupervised Semantic Frame Induction using Triclusteringcited by 4
  10. 2018Rapid Customization for Event Extractioncited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 2; 2022: 7; 2023: 3; 2024: 2; 2025: 1; 2026: 3.

18 papers.

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  1. 2021What is Event Knowledge Graph: A Surveycited by 19
  2. 2022Unsupervised Slot Schema Induction for Task-oriented Dialogcited by 11
  3. 2022Open-Vocabulary Argument Role Prediction for Event Extractioncited by 11
  4. 2022Open Relation and Event Type Discovery with Type Abstractioncited by 10
  5. 2025A Survey on Retrieval And Structuring Augmented Generation with Large Language Modelscited by 8
  6. 2022Unsupervised Key Event Detection from Massive Text Corporacited by 7
  7. 2024Event Detection from Social Media for Epidemic Predictioncited by 7
  8. 2023Harvesting Event Schemas from Large Language Modelscited by 6
  9. 2021An overview of event extraction and its applicationscited by 5
  10. 2024Media Framing through the Lens of Event-Centric Narrativescited by 5
  11. 2022Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attentioncited by 4
  12. 2022Beyond Grounding: Extracting Fine-Grained Event Hierarchies Across Modalitiescited by 3
6 more
  1. 2023Open-Domain Event Graph Induction for Mitigating Framing Biascited by 3
  2. 2023CEO: Corpus-based Open-Domain Event Ontology Inductioncited by 3
  3. 2022Trigger-free Event Detection via Derangement Reading Comprehensioncited by 1
  4. 2026A Structured Clustering Approach for Inducing Media Narrativescited by 1
  5. 2026Event Ontology Expansion via LLM-Based Conceptualizationcited by 0
  6. 2026CLUE: A Contrastive Learning Framework for Unsupervised Event Type Induction and Annotationcited by 0