Learning Semantic Textual Similarity from Conversations
Table 3: Pearson’s r of Reddit+SNLI model with the transformer encoder on the STS Benchmark.
['[EMPTY]', 'dev', 'test']
The columns show the accuracy of each model on the dev and test sets. The un-tuned Reddit model is competitive and outperforms many neural representation models. The encoder learned from Reddit conversations keeps text with similar semantics close in embedding space.