Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). However, existing approaches for cIE suffer …
Benchmarkingcoreference-resolutionCoreference ResolutionDocument-level Closed Information Extraction+11Multimodal 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+2KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines. Comprising 178K tokens from 50 modern and contemporary novels, …
Articlescoreference-resolutionCoreference ResolutionA Controlled Reevaluation of Coreference Resolution Models
All state-of-the-art coreference resolution (CR) models involve finetuning a pretrained language model. Whether the superior performance of one CR model over another is due to the choice of language model or other factor…
coreference-resolutionCoreference ResolutionDecoderLanguage Modeling+1SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
Singleton mentions, i.e.~entities mentioned only once in a text, are important to how humans understand discourse from a theoretical perspective. However previous attempts to incorporate their detection in end-to-end neu…
Avgcoreference-resolutionCoreference ResolutionNERLinear 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 EngineeringModeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
Understanding social interactions involving both verbal and non-verbal cues is essential for effectively interpreting social situations. However, most prior works on multimodal social cues focus predominantly on single-p…
coreference-resolutionCoreference ResolutionMultilingual Coreference Resolution in Low-resource South Asian Languages
Coreference resolution involves the task of identifying text spans within a discourse that pertain to the same real-world entity. While this task has been extensively explored in the English language, there has been a no…
coreference-resolutionCoreference ResolutionWord AlignmentEvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries
While Large Language Models (LLMs) excel at the Winograd Schema Challenge (WSC), a coreference resolution task testing common-sense reasoning through pronoun disambiguation, they struggle with instances that feature mino…
Common Sense Reasoningcoreference-resolutionCoreference ResolutionGUMsley: Evaluating Entity Salience in Summarization for 12 English Genres
As NLP models become increasingly capable of understanding documents in terms of coherent entities rather than strings, obtaining the most salient entities for each document is not only an important end task in itself bu…
Abstractive Text Summarizationcoreference-resolutionCoreference ResolutionHallucination+2From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping
The automatic transformation of verbose, natural language descriptions into structured process models remains a challenge of significant complexity - This paper introduces a contemporary solution, where central to our ap…
coreference-resolutionCoreference ResolutionDependency Parsingnamed-entity-recognition+3Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach
Guided by grammatical structure, words compose to form sentences, and guided by discourse structure, sentences compose to form dialogues and documents. The compositional aspect of sentence and discourse units is often ov…
Binary Classificationcoreference-resolutionCoreference ResolutionSentence+1A Pipeline For Discourse Circuits From CCG
There is a significant disconnect between linguistic theory and modern NLP practice, which relies heavily on inscrutable black-box architectures. DisCoCirc is a newly proposed model for meaning that aims to bridge this d…
coreference-resolutionCoreference ResolutionReleasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Instruction-following language models demand robust methodologies for information retrieval to augment instructions for question-answering applications. A primary challenge is the resolution of coreferences in the contex…
Chunkingcoreference-resolutionCoreference ResolutionInformation Retrieval+3ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution
We present CorPipe, the winning entry to the CRAC 2023 Shared Task on Multilingual Coreference Resolution. Our system is an improved version of our earlier multilingual coreference pipeline, and it surpasses other partic…
coreference-resolutionCoreference ResolutionLanguage ModelingLanguage ModellingCHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
Various NLP tasks require a complex hierarchical structure over nodes, where each node is a cluster of items. Examples include generating entailment graphs, hierarchical cross-document coreference resolution, annotating …
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionInvestigating Multilingual Coreference Resolution by Universal Annotations
Multilingual coreference resolution (MCR) has been a long-standing and challenging task. With the newly proposed multilingual coreference dataset, CorefUD (Nedoluzhko et al., 2022), we conduct an investigation into the t…
coreference-resolutionCoreference ResolutionCorefPrompt: 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+1