Browse State-of-the-Art › Event Coreference Resolution
Event Coreference Resolution
30 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 30 papers with code (72 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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11 Apr 2021 2 repositories listedTo complement these resources and enhance future research, we present Wikipedia Event Coreference (WEC), an efficient methodology for gathering a large-scale dataset for cross-document event coreference from Wikipedia,…
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2 Jan 2021 2 repositories listedWe introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective.
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30 Apr 2020 2 repositories listedWe study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution.
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18 Feb 2025 1 repository listedIn this paper, we present the first dataset for the legal domain, LegalCore, which has been annotated with comprehensive event and event coreference information.
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23 Jun 2024 1 repository listedExisting cross-document event coreference resolution models, which either compute mention similarity directly or enhance mention representation by extracting event arguments (such as location, time, agent, and patient),…
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20 Jun 2024 1 repository listedEvent Coreference Resolution (ECR) is the task of clustering event mentions that refer to the same real-world event.
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4 Jun 2024 1 repository listedExperimental results demonstrate that our approach surpasses the performance of both the large and small language models individually, forming a complementary advantage.
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13 Apr 2024 1 repository listedWe establish three methods that incorporate images and text for coreference: 1) a standard fused model with finetuning, 2) a novel linear mapping method without finetuning and 3) an ensembling approach based on…
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Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation4 Apr 2024 1 repository listed Syntology ran 7 of 12 samples · 5 unverified · 12 pointer-only (licence)In NLP, Event Coreference Resolution (ECR) is the task of connecting event clusters that refer to the same underlying real-life event, usually via neural systems.
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2 Apr 2024 1 repository listedBased on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across documents.
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25 Mar 2024 1 repository listedWe then linearize the ECR with a novel multi-hop coreference algorithm over the event graphs.
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23 Oct 2023 1 repository listedEvent coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters.
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1 Jul 2023 1 repository listedEvent Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents.
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6 Jun 2023 1 repository listedAnnotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency.
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9 May 2023 1 repository listedEvent Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents.
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20 Feb 2023 1 repository listedEvent coreference models cluster event mentions pertaining to the same real-world event.
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1 Jul 2022 1 repository listedInspired by this process, we propose a novel task of cross-document misinformation detection.
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28 Jun 2022 1 repository listedA timeline provides one of the most effective ways to visualize the important historical facts that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent…
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18 Mar 2022 1 repository listedWe propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries.
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11 Oct 2021 1 repository listedWe model the entities/events in a reader's focus as a neighborhood within a learned latent embedding space which minimizes the distance between mentions and the centroids of their gold coreference clusters.
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1 Oct 2021 1 repository listedCross-document event coreference resolution (CDCR) is the task of identifying which event mentions refer to the same events throughout a collection of documents.
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1 Jun 2021 1 repository listedWe propose a neural event coreference model in which event coreference is jointly trained with five tasks: trigger detection, entity coreference, anaphoricity determination, realis detection, and argument extraction.
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1 Jun 2021 1 repository listedCurrent methods for event representation ignore related events in a corpus-level global context.
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4 Apr 2021 1 repository listedEvent coreference resolution is an important research problem with many applications.
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1 Apr 2021 1 repository listedWe propose to leverage lexical paraphrases and high precision rules informed by news discourse structure to automatically collect coreferential and non-coreferential event pairs from unlabeled English news articles.
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24 Nov 2020 1 repository listedThis raises strong concerns on their generalizability -- a must-have for downstream applications where the magnitude of domains or event mentions is likely to exceed those found in a curated corpus.
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17 Sep 2020 1 repository listedTraditional event coreference systems usually rely on pipeline framework and hand-crafted features, which often face error propagation problem and have poor generalization ability.
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4 Jun 2019 1 repository listedOur analysis confirms that all our representation elements, including the mention span itself, its context, and the relation to other mentions contribute to the model's success.
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28 May 2018 1 repository listedThis work provides insight and motivating results for a new general approach to solving coreference and clustering problems with representation learning.
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6 Nov 2017 1 repository listedOur simple system designed using minimal features achieved the micro-average F1 scores of 57.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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