Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Piecing Together Cross-Document Coreference Resolution Datasets: Systematic Dataset Analysis and Unification
Research in CDCR remains fragmented due to heterogeneous dataset formats, varying annotation standards, and the predominance of the CDCR definition as the event coreference resolution (ECR). To address these challenges, …
Coreference ResolutionDiverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference
Cross-document coreference resolution (CDCR) identifies and links mentions of the same entities and events across related documents, enabling content analysis that aggregates information at the level of discourse partici…
Coreference ResolutionLLM-based Triplet Extraction from Financial Reports
Corporate financial reports are a valuable source of structured knowledge for Knowledge Graph construction, but the lack of annotated ground truth in this domain makes evaluation difficult. We present a semi-automated pi…
Coreference ResolutionHierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition
Extracting sparse circuits from billion-parameter transformers is constrained by $O(2^n)$ search cost and pervasive feature reuse across co-active pathways. Hierarchical Attribution Graph Decomposition (HAGD) addresses t…
Coreference ResolutionLINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks
Human smuggling networks are complex and constantly evolving, making them difficult to analyze comprehensively. Legal case documents offer rich factual and procedural insights into these networks but are often long, unst…
Coreference ResolutionKnowledge GraphsEntity LinkingInside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
Human smuggling networks are increasingly adaptive and difficult to analyze. Legal case documents offer critical insights but are often unstructured, lexically dense, and filled with ambiguous or shifting references, whi…
Coreference ResolutionKnowledge GraphsBioCoref: Benchmarking Biomedical Coreference Resolution with LLMs
Coreference resolution in biomedical texts presents unique challenges due to complex domain-specific terminology, high ambiguity in mention forms, and long-distance dependencies between coreferring expressions. In this w…
Coreference ResolutionPrompt EngineeringThe Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works
While coreference resolution is attracting more interest than ever from computational literature researchers, representative datasets of fully annotated long documents remain surprisingly scarce. In this paper, we introd…
Coreference ResolutionEfficient Seq2seq Coreference Resolution Using Entity Representations
Seq2seq coreference models have introduced a new paradigm for coreference resolution by learning to generate text corresponding to coreference labels, without requiring task-specific parameters. While these models achiev…
Coreference ResolutionImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement
Coreference Resolution (CR) is a critical task in Natural Language Processing (NLP). Current research faces a key dilemma: whether to further explore the potential of supervised neural methods based on small language mod…
Coreference ResolutionAutomated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling
We introduce CoDe-KG, an open-source, end-to-end pipeline for extracting sentence-level knowledge graphs by combining robust coreference resolution with syntactic sentence decomposition. Using our model, we contribute a …
Coreference ResolutionRelation ExtractionKnowledge GraphsCorefInst: Leveraging LLMs for Multilingual Coreference Resolution
Coreference Resolution (CR) is a crucial yet challenging task in natural language understanding, often constrained by task-specific architectures and encoder-based language models that demand extensive training and lack …
Natural Language UnderstandingCoreference ResolutionFindings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
The paper presents an overview of the fourth edition of the Shared Task on Multilingual Coreference Resolution, organized as part of the CODI-CRAC 2025 workshop. As in the previous editions, participants were challenged …
Coreference ResolutionCorPipe at CRAC 2025: Evaluating Multilingual Encoders for Multilingual Coreference Resolution
We present CorPipe 25, the winning entry to the CRAC 2025 Shared Task on Multilingual Coreference Resolution. This fourth iteration of the shared task introduces a new LLM track alongside the original unconstrained track…
Coreference ResolutionCorrect-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Large Language Models (LLMs) are intended to reflect human linguistic competencies. But humans have access to a broad and embodied context, which is key in detecting and resolving linguistic ambiguities, even in isolated…
Coreference ResolutionDynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
Entity-level sentiment classification involves identifying the sentiment polarity linked to specific entities within text. This task poses several challenges: effectively modeling the subtle and complex interactions betw…
Coreference ResolutionSentiment AnalysisImproving LLMs' Learning for Coreference Resolution
Coreference Resolution (CR) is crucial for many NLP tasks, but existing LLMs struggle with hallucination and under-performance. In this paper, we investigate the limitations of existing LLM-based approaches to CR-specifi…
Coreference ResolutionGOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework
Building upon the standard graph-based Retrieval-Augmented Generation (RAG), the introduction of heterogeneous graphs and hypergraphs aims to enrich retrieval and generation by leveraging the relationships between multip…
Coreference ResolutionKeyword ExtractionSemantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context
Large Language Models (LLMs) have demonstrated impressive fluency and task competence in conversational settings. However, their effectiveness in multi-session and long-term interactions is hindered by limited memory per…
Coreference ResolutionSemantic SimilarityDependency ParsingLink Prediction for Event Logs in the Process Industry
In the era of graph-based retrieval-augmented generation (RAG), link prediction is a significant preprocessing step for improving the quality of fragmented or incomplete domain-specific data for the graph retrieval. Know…
Natural Language InferenceCoreference ResolutionLink Prediction