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Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs

arXiv 2004.11861 ↗First posted 24 Apr 2020cs.CL cs.AIcited by 26

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Abstract (arXiv)

Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access to semantic information stored in knowledge graphs. Whereas most of the existing QA systems and datasets focus on entity-centric questions, very little is known about these systems' performance in the context of events. As new event-centric knowledge graphs emerge, datasets for such questions gain importance. In this paper, we present the Event-QA dataset for answering event-centric questions over knowledge graphs. Event-QA contains 1000 semantic queries and the corresponding English, German and Portuguese verbalizations for EventKG - an event-centric knowledge graph with more than 970 thousand events.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Apr 2020.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 7; 2024: 2; 2025: 0; 2026: 2.

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  1. 2023Document Understanding Dataset and Evaluation (DUDE)cited by 132
  2. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  3. 2021Complex Temporal Question Answering on Knowledge Graphscited by 69
  4. 2021TempoQR: Temporal Question Reasoning over Knowledge Graphscited by 26
  5. 2021What is Event Knowledge Graph: A Surveycited by 19
  6. 2021From Discourse to Narrative: Knowledge Projection for Event Relation Extractioncited by 14
  7. 2021EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generationcited by 14
  8. 2022Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisiscited by 14
  9. 2023A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospectscited by 14
  10. 2022Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?cited by 13
  11. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  12. 2021GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scalecited by 12
14 more
  1. 2023An AMR-based Link Prediction Approach for Document-level Event Argument Extractioncited by 8
  2. 2023EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Modelscited by 6
  3. 2024Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applicationscited by 6
  4. 2024ComplexTempQA:A 100m Dataset for Complex Temporal Question Answeringcited by 6
  5. 2022Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformationcited by 5
  6. 2022Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Basescited by 3
  7. 2022Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphscited by 3
  8. 2023EDM3: Event Detection as Multi-task Text Generationcited by 3
  9. 2026When Do Tools and Planning Help Large Language Models Think? A Cost- and Latency-Aware Benchmarkcited by 3
  10. 2022Event Detection Explorer: An Interactive Tool for Event Detection Explorationcited by 2
  11. 2023CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Constructioncited by 2
  12. 2022KSG: Knowledge and Skill Graphcited by 1
  13. 2023Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answeringcited by 1
  14. 2026HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activitiescited by 0