Comments (6)
@suhassumukhv benepar_en
is the same model as en_elmo_dev.95.21.pt
. The main difference is that it's been converted into tensorflow format, and that it has been compressed to take up less space on disk (this involves rounding the weights slightly).
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Could you provide more complete logs of the commands you ran and their output?
Generally, for commands like "pip install" the full output before and after the error message is needed to figure out what went wrong. Also, what version of anaconda and Python are you using, and where did you install anaconda from?
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@nikitakit Can you kindly guide me to the difference between the "benepar_en"
model and the models listed in the section https://github.com/nikitakit/self-attentive-parser#pre-trained-models-pytorch?
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@nikitakit Thank you. Where are the constituency parse tree tags documented? Do they follow the Penn Treebank Guidelines?
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@suhassumukhv That's right, the English parser is based on the Penn Treebank
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Closing since there is no activity related to the original issue. Please re-open if you still have this issue and can provide more complete logs/information.
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Related Issues (20)
- How are F1 scores calculated? HOT 1
- what version of protobuf is suitable for this tool? HOT 1
- import benepar fails with torch error
- Error loading German model HOT 4
- Need help understanding the labels of the parser model
- Error reading EVALB results.
- error integrating with spacy HOT 1
- How to train a benepar on Ontonotes 5.0 (CONLL 2012) dataset?
- Different in parse results compared to the demo page HOT 3
- benepar_en2
- Parse quality on long sentences
- ```._.labels``` doesn't work for spans with length of one HOT 4
- Serializing the output
- Sentences with ; not split into different clauses
- Mark as unmaintained? HOT 2
- training data for benepar_zh2
- Parse pretokenized sentences?
- Cannot generate WSJ data HOT 1
- How to solve the unresognized model identifier
- The name of the benepar models (at least for french) are not updated.
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