Jeremy Barnes
Jeremy Barnes
Hi Jan, Yes, you're right. This first issue stems from the dataset itself, where negators ('no', 'not', etc) and intensifiers ('very', 'extremely') are not explicitly included in the polar expression,...
Thanks for pointing that out. I'll have a look and try to get back to you soon.
Ok, I've confirmed that this is only a problem in the Darmstadt dataset, only affects polar expressions, but occurs in all splits. The problem comes from the fact that the...
Ok, I've updated the preprocessing script to remove the annotations that were problematic. Let me know if it works on your end and I'll close the issue.
Yes, you are correct. I will have to have a deeper look at the other datasets and will come with corrections soon.
It seems like the problem stems from the original sentence segmentation. The annotation was performed at document-level and although we told annotators to make sure that all sources/targets/expressions were annotated...
Hey, In the end, I was able to fix the easy ones, where the target/polar expression was split, but the offsets did not reflect this. That took care of most...
It depends a bit. There were relatively few examples that were affected, so I doubt that retraining anything based on pre-trained languaged models will see large benefits. On the other...
It looks like it's a problem in the original annotation file in MPQA. In that particular file, lots of the the indices seem like they're off. Not sure what would...
Great to hear!