Entity Linking
237 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 with no code
Rethinking the Evaluation of Pre-trained Text-and-Layout Models from an Entity-Centric Perspective
Therefore, we claim the necessary standards for an ideal benchmark to evaluate the information extraction ability of PTLMs.
Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature
A study of the performance of tools trained on the Triticum aestivum trait Corpus shows that the corpus is suitable for the training and evaluation of named entity recognition and linking.
ConcEPT: Concept-Enhanced Pre-Training for Language Models
In this paper, we propose ConcEPT, which stands for Concept-Enhanced Pre-Training for language models, to infuse conceptual knowledge into PLMs.
BELHD: Improving Biomedical Entity Linking with Homonoym Disambiguation
Biomedical entity linking (BEL) is the task of grounding entity mentions to a knowledge base (KB).
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
However, simply concatenating SER and RE serially can lead to severe error propagation, and it fails to handle cases like multi-line entities in real scenarios.
Knowledge Graph Construction in Power Distribution Networks
In this paper, we propose a method for knowledge graph construction in power distribution networks.
LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction
Through an analysis of entity linkability in the CaRB dataset, as well as outputs from OpenIE 4 and LOKE-GPT, we see that LOKE-GPT and the "silver" TekGen triples show that the task is significantly different in content from OIE, if not structure.
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
The Scholarly Question Answering over Linked Data (Scholarly QALD) at The International Semantic Web Conference (ISWC) 2023 challenge presents two sub-tasks to tackle question answering (QA) over knowledge graphs (KGs).
SLHCat: Mapping Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features
Assigning DBPedia classes to Wikipedia categories and lists can alleviate the problem, realizing a large knowledge graph which is essential for categorizing digital contents through entity linking and typing.
Biomedical Entity Linking with Triple-aware Pre-Training
However, a difficulty of linking the biomedical entities using current large language models (LLM) trained on a general corpus is that biomedical entities are scarcely distributed in texts and therefore have been rarely seen during training by the LLM.
