Semantic Textual Similarity Dataset
CHIP Semantic Textual Similarity, a dataset for sentence similarity in the non-i.i.d.
(non-independent and identically distributed) setting, is used for the CHIP-STS task. Specifically, the
task aims to transfer learning between disease types on Chinese disease questions and answer data.
Given question pairs related to 5 different diseases (The disease types in the training and testing set
are different), the task intends to determine whether the semantics of the two sentences are similar.
Variants: CHIP-STS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Similarity | MacBERT-large | CBLUE: A Chinese Biomedical Language … | 2021-06-15 |
Recent papers with results on this dataset: