Papers with Yelp sentiment dataset
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer (D19-56)
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| Challenge: | Existing methods for textual transfer with no parallel corpora are insufficient to evaluate textual paraphrases with modified attributes or properties. |
| Approach: | They propose to add a metric for post-transfer classification accuracy and a method to combine them into a single overall score. |
| Outcome: | The proposed metrics correlate well with human judgments, at both the sentence-level and system-level. |
Evaluating Style Transfer for Text (N19-1)
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| Challenge: | Existing studies on style transfer for text are lacking a standard set of evaluation practices. |
| Approach: | They propose a set of metrics for automated evaluation that are more strongly correlated with human judgment and show tradeoffs between aspects of interest. |
| Outcome: | The proposed models exhibit tradeoffs between aspects of interest and human judgment, demonstrating the importance of evaluating them at specific points of their tradeoff plots. |