mlsanityData to 7 Oct 2026

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

arXiv 2211.00869 ↗First posted 2 Nov 2022cs.CLcited by 14

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Abstract (arXiv)

Event extraction (EE) is crucial to downstream tasks such as new aggregation and event knowledge graph construction. Most existing EE datasets manually define fixed event types and design specific schema for each of them, failing to cover diverse events emerging from the online text. Moreover, news titles, an important source of event mentions, have not gained enough attention in current EE research. In this paper, We present Title2Event, a large-scale sentence-level dataset benchmarking Open Event Extraction without restricting event types. Title2Event contains more than 42,000 news titles in 34 topics collected from Chinese web pages. To the best of our knowledge, it is currently the largest manually-annotated Chinese dataset for open event extraction. We further conduct experiments on Title2Event with different models and show that the characteristics of titles make it challenging for event extraction, addressing the significance of advanced study on this problem. The dataset and baseline codes are available at https://open-event-hub.github.io/title2event.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 18 of its 46 references that are in the map. First posted on arXiv 2 Nov 2022.

Builds on

18 of 46 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  3. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 261
  4. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  5. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  6. 2020MAVEN: A Massive General Domain Event Detection Datasetcited by 103
  7. 2019Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extractioncited by 54
  8. 2018A Survey on Open Information Extractioncited by 51
  9. 2018Neural Open Information Extractioncited by 50
  10. 2018EventKG: A Multilingual Event-Centric Temporal Knowledge Graphcited by 43
  11. 2018One for All: Neural Joint Modeling of Entities and Eventscited by 37
  12. 2020IMoJIE: Iterative Memory-Based Joint Open Information Extractioncited by 34
6 more
  1. 2019Span Model for Open Information Extraction on Accurate Corpuscited by 33
  2. 2022A Survey on Neural Open Information Extraction: Current Status and Future Directionscited by 27
  3. 2018Nugget Proposal Networks for Chinese Event Detectioncited by 11
  4. 2022Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clusteringcited by 11
  5. 2020Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relationscited by 7
  6. 2020Label Enhanced Event Detection with Heterogeneous Graph Attention Networkscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 5; 2025: 4; 2026: 3.

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  2. 2024Topology-aware Reinforcement Feature Space Reconstruction for Graph Datacited by 11
  3. 2025Event Extraction in Large Language Modelcited by 5
  4. 2023Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detectioncited by 4
  5. 2023Event-Centric Query Expansion in Web Searchcited by 2
  6. 2024Enhancing Risk Assessment in Transformers with Loss-at-Risk Functionscited by 2
  7. 2025Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Textscited by 2
  8. 2024Event-enhanced Retrieval in Real-time Searchcited by 1
  9. 2024Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Modelscited by 1
  10. 2025Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesiscited by 1
  11. 2024Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferencescited by 0
  12. 2026Multi-Agent Procedural Graph Extraction with Structural and Logical Refinementcited by 0
2 more
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  2. 2026BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward Reconstructioncited by 0