Entity Linking
Entity linking is an important task in natural language processing, aiming to associate entities mentioned in the text (such as famous people, places, or companies) with unique identities in a knowledge base. The goal of this task is to identify and resolve entity mentions in the text and link them to the correct knowledge base entries, thereby achieving accurate understanding and reference of the entities. Entity linking has significant application value in information retrieval, knowledge graph construction, semantic analysis, and other fields, enhancing the system's ability to understand and process text content.
AIDA-CoNLL
SpEL-large (2023)
AIDA/testc
SpEL-large (2023)
BC7 NLM-Chem
CoNLL-Aida
Raiman & Raiman 2018
Derczynski
De Cao et al. (2021a)
EC-FUNSD
FIGER
ERNIE
FUNSD
TPP (LayoutMask)
GUM
KILT: AIDA-YAGO2
GENRE
KILT: WNED-CWEB
GENRE
KILT: WNED-WIKI
GENRE
KORE50
MedMentions
MSNBC
Kannan Ravi et al. (2021)
N3-Reuters-128
E2E
N3-RSS-500
ReLiK-Large
OKE-2015
E2E
OKE-2016
E2E
Rare Diseases Mentions in MIMIC-III
Rare Diseases Mentions in MIMIC-III Radiology Reports (Text-to-UMLS)
SemEHR+WS (rules+BlueBERT) with tuning number of training data
Rare Diseases Mentions in MIMIC-III (Text-to-UMLS)
REBEL
TAC-KBP 2010
WebQSP-WD
ReFinED
WiC-TSV
Human
ZESHEL
ArboEL