Papers Event Coreference Resolution
“Event Coreference Resolution” 태그가 달린 논문 72편 · 필터 해제
LegalCore: A Dataset for Legal Documents Event Coreference Resolution
Recognizing events and their coreferential mentions in a document is essential for understanding semantic meanings of text. The existing research on event coreference resolution is mostly limited to news articles. In thi…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+1Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
Existing 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), …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionEasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models
Event Coreference Resolution (ECR) is the task of clustering event mentions that refer to the same real-world event. Despite significant advancements, ECR research faces two main challenges: limited generalizability acro…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSynergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
Cross-document event coreference resolution (CDECR) involves clustering event mentions across multiple documents that refer to the same real-world events. Existing approaches utilize fine-tuning of small language models …
coreference-resolutionCoreference ResolutionDiversityEvent Coreference ResolutionMultimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles
Event coreference resolution (ECR) is the task of determining whether distinct mentions of events within a multi-document corpus are actually linked to the same underlying occurrence. Images of the events can help facili…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionOkay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
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. In this work, we investigate using abductive free-text ra…
Clusteringcoreference-resolutionCoreference ResolutionEvent Coreference Resolution+1A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Based on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across documents. However, the existing system exhibits…
coreference-resolutionCoreference ResolutioncounterfactualData Augmentation+2Linear Cross-document Event Coreference Resolution with X-AMR
Event Coreference Resolution (ECR) as a pairwise mention classification task is expensive both for automated systems and manual annotations. The task's quadratic difficulty is exacerbated when using Large Language Models…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionPrompt EngineeringCorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters. Most previous studies adopt the "encoding first, then scoring" framework, making the coreference judgm…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionLanguage Modeling+1Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks
We introduce a novel and efficient method for Event Coreference Resolution (ECR) applied to a lower-resourced language domain. By framing ECR as a graph reconstruction task, we are able to combine deep semantic embedding…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionGraph Reconstruction2∗n is better than n^2: Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents. Most mention pairs are not coreferent, yet many that are coreferent can be identified through simple…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionLEMMAHow Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency. To address this, we propose a model-in-the-loop annotation appro…
coreference-resolutionCoreference ResolutionEvent Coreference Resolutionmodel$2 * n$ is better than $n^2$: Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents. Most mention pairs are not coreferent, yet many that are coreferent can be identified through simple…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionEvent Cross-Document Coreference Resolution+1What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Event coreference models cluster event mentions pertaining to the same real-world event. Recent models rely on contextualized representations to recognize coreference among lexically or contextually similar mentions. How…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentenceInvestigating Cross-Document Event Coreference for Dutch
In this paper we present baseline results for Event Coreference Resolution (ECR) in Dutch using gold-standard (i.e non-predicted) event mentions. A newly developed benchmark dataset allows us to properly investigate the …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionCross-document Misinformation Detection based on Event Graph Reasoning
For emerging events, human readers are often exposed to both real news and fake news. Multiple news articles may contain complementary or contradictory information that readers can leverage to help detect fake news. Insp…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
A 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 informat…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentence+1Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities
Identifying related entities and events within and across documents is fundamental to natural language understanding. We present an approach to entity and event coreference resolution utilizing contrastive representation…
Binary ClassificationContrastive Learningcoreference-resolutionCoreference Resolution+4Event Coreference Resolution for Contentious Politics Events
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event information collection has not quantified the cont…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionCross-document Misinformation Detection based on Event Graph Reasoning
For emerging events, human readers are often exposed to both real news and fake news. Multiple news articles may contain complementary or contradictory information that readers can leverage to help detect fake news. Insp…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2