Comments (2)
Hi Jeremy,
thank you for your quick reply and quick fix!
from semeval22_structured_sentiment.
Hi,
No you're correct. After looking into it, it's not actually a problem with the evaluation script, but again with the data. There were some examples where the polar expression was incorrectly annotated starting from the inside of one of the tokens. This led to errors when parsing them in the evaluation script that gave empty polar expressions. The main assumption the evaluation script makes is that there can be no empty polar expressions, so this was a problem.
I've updated the processing scripts for both MPQA and Darmstadt to remove these problems, so it will be necessary to reprocess them.
from semeval22_structured_sentiment.
Related Issues (20)
- Accuracy of baseline values HOT 4
- Doubts about the cross-lingual task HOT 2
- problems in submitting zip file HOT 4
- Gaps between local evaluation and online evaluation HOT 7
- Request for requirements.txt for baseline codes HOT 2
- Missing samples in MPQA dataset HOT 12
- null values in MPQA dataset HOT 2
- Error when uploading the file with the predictions HOT 9
- Some details about data HOT 4
- About pytorch version HOT 2
- Intensity labels HOT 1
- the test set of norec HOT 2
- Miss sentences in test HOT 5
- Can we use the multilingual pretrained model (e.g. mBERT) in the two subtasks (Monolingual and Cross-lingual) ? HOT 2
- Conflicting data usage rules about crosslingual task HOT 2
- Difference in MPQA test set HOT 2
- Mistake in MPQA annotation
- Mistake in darmstadt_unis annotation
- Mistake in Multibooked_eu annotation
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