Semantic Similarity
Semantic Similarity是自然语言处理中的核心任务之一,旨在量化词语、短语、句子或文档之间的语义距离。该任务通过知识库方法和基于语料库的分布方法来实现,具有重要的应用价值,如信息检索、机器翻译和文本分类等。
Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)
Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)
BIOSSES
BioLinkBERT (large)
CHIP-STS
MacBERT-large
ClinicalSTS
CharacterBERT (base, medical, ensemble)
dev t
MedSTS
NCBI_BERT(base) (P+M)
SICK
Dependency Tree-LSTM (Tai et al., 2015)
sts dev
sts dev 128
sts dev 256
sts dev 512
sts dev 64
sts dev 768
sts test
sts test 128
sts test 256
sts test 512
sts test 64
sts test 768
sts17 es en test
stsb dev
stsb edu indo dev
stsb edu indo test
test t
Unknown