Word Sense Disambiguation
Word Sense Disambiguation (WSD) is a crucial task in natural language processing aimed at associating words in context with their most appropriate senses in a predefined sense inventory. This task enhances the accuracy and depth of text understanding by determining the specific meanings of words and is widely applied in areas such as machine translation, information retrieval, and sentiment analysis. WordNet serves as an authoritative sense inventory for WSD in English, providing rich semantic resources.
BIG-bench (Anachronisms)
Knowledge-based:
RUSSE
Human Benchmark
SemEval 2007 Task 17
SemCor+WNGC, hypernyms
SemEval 2007 Task 7
SemCor+WNGC, hypernyms
SemEval 2013 Task 12
SemCor+WNGC, hypernyms
SemEval 2015 Task 13
SemCor+WNGC, hypernyms
SensEval 2
SemCor+WNGC, hypernyms
SensEval 2 Lexical Sample
kNN-BERT
SensEval 3 Lexical Sample
kNN-BERT
SensEval 3 Task 1
SemCor+WNGC, hypernyms
Supervised:
SANDWiCH
TS50
SPIN
WiC-TSV
Words in Context
COSINE + Transductive Learning