mlsanityData to 14 Oct 2026

Cross-document Event Coreference Search: Task, Dataset and Modeling

arXiv 2210.12654 ↗First posted 23 Oct 2022cs.CLcited by 12

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Abstract (arXiv)

The task of Cross-document Coreference Resolution has been traditionally formulated as requiring to identify all coreference links across a given set of documents. We propose an appealing, and often more applicable, complementary set up for the task - Cross-document Coreference Search, focusing in this paper on event coreference. Concretely, given a mention in context of an event of interest, considered as a query, the task is to find all coreferring mentions for the query event in a large document collection. To support research on this task, we create a corresponding dataset, which is derived from Wikipedia while leveraging annotations in the available Wikipedia Event Coreference dataset (WEC-Eng). Observing that the coreference search setup is largely analogous to the setting of Open Domain Question Answering, we adapt the prominent Deep Passage Retrieval (DPR) model to our setting, as an appealing baseline. Finally, we present a novel model that integrates a powerful coreference scoring scheme into the DPR architecture, yielding improved performance.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 32 of its 52 references that are in the map. First posted on arXiv 23 Oct 2022.

Builds on

32 of 52 references.

References · 32

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  4. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
  5. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
  6. 2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Modelscited by 1,252
  7. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,216
  8. 2020ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTcited by 1,178
  9. 2020Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrievalcited by 849
  10. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 834
  11. 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
  12. 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 695
20 more
  1. 2017End-to-end Neural Coreference Resolutioncited by 241
  2. 2021Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Samplingcited by 238
  3. 2019End-to-End Open-Domain Question Answering with BERTserinicited by 152
  4. 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
  5. 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
  6. 2021Decontextualization: Making Sentences Stand-Alonecited by 102
  7. 2019Coreference Resolution as Query-based Span Predictioncited by 91
  8. 2021Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?cited by 60
  9. 2021The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpuscited by 60
  10. 2019Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolutioncited by 43
  11. 2018Abstract Meaning Representation for Multi-Document Summarizationcited by 35
  12. 2018Neural Models for Reasoning over Multiple Mentions using Coreferencecited by 27
  13. 2021WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipediacited by 23
  14. 2020Generalizing Cross-Document Event Coreference Resolution Across Multiple Corporacited by 18
  15. 2020Streamlining Cross-Document Coreference Resolution: Evaluation and Modelingcited by 16
  16. 2021Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreferencecited by 16
  17. 2020Paraphrasing vs Coreferring: Two Sides of the Same Coincited by 15
  18. 2019Do Multi-hop Readers Dream of Reasoning Chains?cited by 14
  19. 2021Sequential Cross-Document Coreference Resolutioncited by 12
  20. 2022Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entitiescited by 10

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 6; 2025: 3.

12 papers.

  1. 2023Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answeringcited by 28
  2. 2024MDCure: A Scalable Pipeline for Multi-Document Instruction-Followingcited by 10
  3. 2024SEAM: A Stochastic Benchmark for Multi-Document Taskscited by 8
  4. 2024The Power of Summary-Source Alignmentscited by 7
  5. 2023MAILEX: Email Event and Argument Extractioncited by 6
  6. 2024Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Informationcited by 4
  7. 2025Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attackscited by 4
  8. 2023FAMuS: Frames Across Multiple Sourcescited by 2
  9. 2024Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigmcited by 2
  10. 2025Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotatorscited by 2
  11. 2025LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real Worldcited by 2
  12. 2024EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Modelscited by 1