FUNSD test result is very low! about doc2graph HOT 7 CLOSED

@andreagemelli

from doc2graph.

Hi,
Probably there are some problems with the weights. I will try to fix it asap, let you know.
A.

from doc2graph.

And I tried to train e2e model on FUNSD,but I cant get good result as paper‘s？

from doc2graph.

for Semantic Entity Labeling, the paper's best F1 is 0.82,is equal to node micro I tried(0.8105)?
for Entity Linking,best F1 is 0.53 in paper,which metric matches the above？
None=0.9964;Key-Value=0.5895;AUC-PR=0.7903 in paper is higher ?
Thanks for answering^^

from doc2graph.

Thanks for the feedbacks!
I cannot currently work on the bug, I can get a look at it during the next week! I will let you know.

from doc2graph.

Hey @weishu20,
I did not forget about you!
While I have solved other minor issue with the last commit, we are still struggling with the results: in the image you can see that on the left, in another machine where I installed again the repo, the results are low like yours. While, in my server, the results are still the one I experimented with for the publication.
We believe that the problem is in the construction of the graph or the features used by the nodes. We already excluded data and weights for the possible problems.
I hope to get back to you asap.

from doc2graph.

Hi @weishu20 ,
sorry for my late answer.
Going through the code I have noticed that in the meantime we published the code spaCy came out with a new version of its language models, including the one used by Doc2Graph. As a results, the textual features loaded during the preprocessing were completely different from the ones in my original repo.
I tried myself to reproduce the behaviour of my repo into a new and different environment and now the problem should be fixed: please reinstall the library following the new README.md file and let me know!
A.

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