Entity Linking
240 papers with code • 25 benchmarks • 38 datasets
Assigning a unique identity to entities (such as famous individuals, locations, or companies) mentioned in text (Source: Wikipedia).
Benchmarks
These leaderboards are used to track progress in Entity Linking
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Libraries
Use these libraries to find Entity Linking models and implementations
CoNLL
FUNSD
KILT
FIGER
AIDA CoNLL-YAGO
MedMentions
Latest papers
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
season1blue/dwe
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Multimodal Entity Linking (MEL) aims at linking ambiguous mentions with multimodal information to entity in Knowledge Graph (KG) such as Wikipedia, which plays a key role in many applications.
Improving Biomedical Entity Linking with Retrieval-enhanced Learning
lzxlin/knn-bioel
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Biomedical entity linking (BioEL) has achieved remarkable progress with the help of pre-trained language models.
An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph
In this paper, we present a methodology for creating a benchmark dataset of news headlines mapped to event classes in Wikidata, and resources for the evaluation of methods that perform the mapping.
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
Recent work in Natural Language Processing and Computer Vision has been using textual information -- e. g., entity names and descriptions -- available in knowledge graphs to ground neural models to high-quality structured data.
Instructed Language Models with Retrievers Are Powerful Entity Linkers
mrzilinxiao/insgenentitylinking
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Generative approaches powered by large language models (LLMs) have demonstrated emergent abilities in tasks that require complex reasoning abilities.
The SourceData-NLP dataset: integrating curation into scientific publishing for training large language models
Introduction: The scientific publishing landscape is expanding rapidly, creating challenges for researchers to stay up-to-date with the evolution of the literature.
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
The CoNLL-03 corpus is arguably the most well-known and utilized benchmark dataset for named entity recognition (NER).
SpEL: Structured Prediction for Entity Linking
shavarani/spel
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Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source.
A Read-and-Select Framework for Zero-shot Entity Linking
Zero-shot entity linking (EL) aims at aligning entity mentions to unseen entities to challenge the generalization ability.
Revisiting Sparse Retrieval for Few-shot Entity Linking
hitsz-tmg/sparse-retrieval-fewshot-el
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Entity linking aims to link ambiguous mentions to their corresponding entities in a knowledge base.
