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```
There are new models available on their website that we might want to integrate:
model.20120919 (2MB) -- the Twitter POS model with our coarse 25-tag tagset.
This is included with the tagger rel…
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```
There are new models available on their website that we might want to integrate:
model.20120919 (2MB) -- the Twitter POS model with our coarse 25-tag tagset.
This is included with the tagger rel…
-
The English models for MaltParser use an input POS tag `PRT` which does not exist as a POS tag in the [Penn Treebank Tagset](http://www.clips.ua.ac.be/pages/mbsp-tags). `PRT` is actually a chunk tag (…
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This would be as a replacement for the current part of speech identification. It would be optional (for speed), and use modern techniques for part of speech identification like Hidden Markov Models. T…
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TextBlob is wonderful but it doesn't seem to provide relationship extraction.
One way to handle this might be to call/construct TextBlob's parse with the pattern.en.parse() relation arg set to True.
…
jburb updated
8 years ago
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Hi! Thanks for the contribution. I want to use your probings tasks (EN and ES); however, I came across some problems:
1. Regarding EN data for tasks 4, 5, and 6. You don't include code for extracti…
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Hi,
I am trying to verify the experiment results presented in the original paper. I made some changes to the code in order to perform the ablation test. My code is on https://github.com/duanqn/PRPN/t…
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```
There are new models available on their website that we might want to integrate:
model.20120919 (2MB) -- the Twitter POS model with our coarse 25-tag tagset.
This is included with the tagger rel…
-
In the readme it says that the "!" should be tags as a sent-final punct (".")
In fact on my side it's tagged as "!" so if I console.log I got ```["!","!"]``` and not ```["!","."]```.
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Here is an example out put from `FeatureExtraction/text-features/extract_text_features.py` so far. The features being extracted were unigrams, bigrams, postags(part-of-speech) typed_dependency_triples…