Comments (1)
ebeckm
commented on August 10, 2024
Hi Angefonce. You have to train the parser before you can use it. The process for doing so is explained in the README.
The author probably stored the output of train.py in /tmp/stanford_beam8 before running his code. My guess regarding the naming convention is as follows: beam8 refers to the beam width used when training the model; Stanford refers to the training data, which may have been obtained by applying the Stanford Parser to a plain text corpus of some sort.
Edit: this blog post describes how the model is trained.
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Related Issues (20)
- Get redshift into pip HOT 1
- Non ascii chars in train file HOT 8
- Non-english usage HOT 2
- Runtime problem on OSX HOT 1
- set/replace sentence.Input's token label HOT 1
- Missing license HOT 3
- Compilation error HOT 2
- Greedy or not? HOT 3
- Error using POS tagger HOT 6
- Cannot install on Ubuntu HOT 3
- Cannot install on OS X HOT 2
- Replace model transport code with protobuf
- Not installing on ubuntu HOT 12
- Running disfluency parser HOT 3
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- Fix interface
- Reading input before parser is created breaks index.hashes
- Unclear running instructions HOT 7
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