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Entity Disambiguation
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Entity Disambiguation is the task of linking mentions of ambiguous entities to their referent entities in a knowledge base such as Wikipedia.
Source: Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval
Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation
A Grounded Memory System For Smart Personal Assistants
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
Unmasking the Reality of PII Masking Models: Performance Gaps and the Call for Accountability
Named Entity Recognition in Context
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
Enriching Social Science Research via Survey Item Linking
Unsupervised Named Entity Disambiguation for Low Resource Domains
Accelerating Knowledge Graph and Ontology Engineering with Large Language Models
NER-Luxury: Named entity recognition for the fashion and luxury domain
Evaluating LLMs on Entity Disambiguation in Tables
Contrastive Entity Coreference and Disambiguation for Historical Texts
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation
Newswire: A Large-Scale Structured Database of a Century of Historical News
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
Entity Disambiguation via Fusion Entity Decoding
EntGPT: Linking Generative Large Language Models with Knowledge Bases
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency
Universal Knowledge Graph Embeddings
A Read-and-Select Framework for Zero-shot Entity Linking
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Direct Fact Retrieval from Knowledge Graphs without Entity Linking
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
Disambiguation of Company names via Deep Recurrent Networks
KILM: Knowledge Injection into Encoder-Decoder Language Models
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation
Entity Disambiguation with Entity Definitions
Improving Entity Disambiguation by Reasoning over a Knowledge Base
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
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