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
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
This lays the groundwork for us to build a large-scale experimentation ecosystem consisting of 18 RAG systems that engage in training and 18 unknown RAG systems that use the uRAG as the new users of the search engine.
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).
Unified Examination of Entity Linking in Absence of Candidate Sets
nicolasong/gerbil_connects
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Despite remarkable strides made in the development of entity linking systems in recent years, a comprehensive comparative analysis of these systems using a unified framework is notably absent.
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking
Multimodal entity linking (MEL) aims to utilize multimodal information (usually textual and visual information) to link ambiguous mentions to unambiguous entities in knowledge base.
Wiki-TabNER:Advancing Table Interpretation Through Named Entity Recognition
table-interpretation/wiki_table_ner
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Finally, we propose a prompting framework for evaluating the newly developed large language models (LLMs) on this novel TI task.
A Language Model based Framework for New Concept Placement in Ontologies
krr-oxford/lm-ontology-concept-placement
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In all steps, we propose to leverage neural methods, where we apply embedding-based methods and contrastive learning with Pre-trained Language Models (PLMs) such as BERT for edge search, and adapt a BERT fine-tuning-based multi-label Edge-Cross-encoder, and Large Language Models (LLMs) such as GPT series, FLAN-T5, and Llama 2, for edge selection.
$\textit{L+M-24}$: Building a Dataset for Language + Molecules @ ACL 2024
language-plus-molecules/lpm-24-dataset
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Language-molecule models have emerged as an exciting direction for molecular discovery and understanding.
ChatEL: Entity Linking with Chatbots
Fortunately, Large Language Models (LLMs) like GPT provide a highly-advanced solution to the problems inherent in EL models, but simply naive prompts to LLMs do not work well.
SPARQL Generation with Entity Pre-trained GPT for KG Question Answering
We obtained a 62. 703% accuracy of exact SPARQL matches on testing at 3-shots, a F1 of 0. 809 on the entity linking challenge and a F1 of 0. 009 on the question answering challenge.
Entity Linking in the Job Market Domain
mainlp/el_esco
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In this work, we are the first to explore EL in this domain, specifically targeting the linkage of occupational skills to the ESCO taxonomy (le Vrang et al., 2014).
