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Home Page: http://yoavartzi.com/amr
License: GNU General Public License v2.0
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)
Home Page: http://yoavartzi.com/amr
License: GNU General Public License v2.0
Hi,
Not really an issue, but how does this repo relate to https://github.com/cornell-lic/spf ?
Thanks!
I've been having a lot of trouble training new models. During the the training process,
"Extracting features for level 2 inference
Done - Extracting features for level 2 inference"
is printed over and over until at some point my CPU usage drops to almost 0% and then it says im out of memory in my shell. Then if you wait an incredibly long amount of time, training continues. I have not been able to train any models successfully yet on any of the data in the amr 1.0 release (accept one model which I trained on just two sentences from the bolt treebank). Have you run into this issue and/or what specs do you suggest I have to train a model in this way. I'm running on 12 CPU cores with 32 Gb of memory. I tried looking at the source code to see if I could fix the problem there but the issue is happening in one of the precompiled jar files (i'm gonna look at spf now to see which jar is giving me issues and see if I can create a new jar file from there) Any suggestions? Thank you so much.
After running getres.sh, there are binary files in the resources/propbank folders with names like "._bore.xml". On Linux, these will cause the PropBankReader to crash, since it attempts to parse all files in the directory.
The ._*.xml files appear to be OSX metadata. Maybe there's a difference in the way Files.walk(...) and/or Files.isRegularFile(...) treat them, e.g. ignore on OSX, while they're just normal files on Linux?
Anyway, a simple workaround is to do rm resources/propbank/._*.xml after running getres.sh
Was the pretrained model trained on AMR bank release 1.0?
How to create a new model using new dataset..?
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