gen-arg
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Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'
Thank you for the great work. Could you please share the pretrained class vectors and tagger checkpoints for the tagger, for example all_class_vec_KAIROS.pt? Also I cannot quite figure out how...
Hi. I'm dealing with a dataset that has several argument roles, and each role might have multiple arguments. For example, `', , , , has participate in an military activity...
Love the paper. I've tried it on my own closed domain dataset and achieved poor recall. ``` Role identification: P: 49.30, R: 28.43, F: 36.06 Role: P: 44.41, R: 25.60,...
Hi, Thank you for sharing your amazing work! I need some clarification regarding the implementation of equation 4 mentioned in the paper. From the initial reading of the code, it...
The link given in the repo s3://gen-arg-data/checkpoints doesnt seem to work for me, neither the aws cli comand. Can you please guide me to the latest version of the checkpoints?
Hi. I tried to follow the code on dataset RAMS.And I changed the argument called '**test-file**' in _convert_gen_to_output.py_ to '**data/RAMS_1.0/data/test.jsonlines**' when evaluating head score but only received low performance as...
hi, nice job! i don't have aws account. how can i download the checkpoint? could you give a google drive/baidu cloud link? thanks!
Hi, I tried to follow `scripts/train_kairos.sh` and `scripts/test_kairos.sh` but only received low performance as follow: Role identification: P: 16.88, R: 4.456, F: 7.18 Role: P: 15.58, R: 4.21, F: 6.63...
Hello, I found that in the “clarification” methods mentioned in Section 2.2 of the paper, I did not see the implementation in the code?