Comments (3)
For the master branch, thats the size of the pretrained embeddings. Default is 50, and in your example you should have 100 since the sskip.100 are of size 100.
For the easy to use branch, @duncanka should br the one to answer
from lstm-parser.
yes for the master branch everything works fine. for easy-to-use there is no such option, and i hope default is 100.
from lstm-parser.
The easy to use branch determines the vector size from the embeddings file. The command line argument is not necessary.
Apologies for not updating that part of the README. The command should now be correct.
from lstm-parser.
Related Issues (17)
- implementation & documentation on parsing unlabelled data HOT 1
- cnn is out of memory HOT 1
- cnn out of memory #2 HOT 11
- Parser does not output LAS
- How does lstm-parser handle pre-trained word embeddings? HOT 2
- BOOST version used in the pre-trained model HOT 2
- Cannot open shared object file 'libboost_program_options.so.1.65.1' HOT 6
- GPU support and meaning of ppl and llh HOT 4
- sskip.100.vectors vector training HOT 1
- Error when parsing multiword expressions in conllu file HOT 4
- Serialization error while testing a trained model HOT 4
- Using lemma of a word in lstm-parse.cc file HOT 1
- Problem with the '-' character between word and postag in oracle txt files HOT 3
- Automatically stop training based on score or number of iterations
- Read zipped word vectors HOT 2
- Bad dimensions for AffineTransform exception in char-based branch HOT 1
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