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""" | |
PyTorch implementation of a sequence labeler (POS taggger). | |
Basic architecture: | |
- take words | |
- run though bidirectional GRU | |
- predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
The decoder updates hidden state based on: | |
- most recent word |
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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7 | |
2 | |
1 | |
0 | |
4 | |
1 | |
4 | |
9 | |
5 | |
9 |
I hereby claim:
- I am e9t on github.
- I am e9t (https://keybase.io/e9t) on keybase.
- I have a public key whose fingerprint is A72B 93D1 701C 52C6 9ED2 9BE4 97DD 0810 6C12 59B1
To claim this, I am signing this object:
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### Keybase proof | |
I hereby claim: | |
* I am e9t on github. | |
* I am e9t (https://keybase.io/e9t) on keybase. | |
* I have a public key whose fingerprint is 9206 DCE4 CAF2 0F43 F4EC B69D 6BDD E532 F3A6 F870 | |
To claim this, I am signing this object: |
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{ | |
"nodes": [ | |
{"label": "i0", "layer": 1}, | |
{"label": "i1", "layer": 1}, | |
{"label": "h0", "layer": 2}, | |
{"label": "i2", "layer": 1}, | |
{"label": "h1", "layer": 2}, | |
{"label": "h2", "layer": 2}, | |
{"label": "h3", "layer": 2}, | |
{"label": "o0", "layer": 3} |
우리나라 특별시와 광역시.
- Author: Lucy Park
- License: Apache v2
한국 지도 GeoJSON.
- Author: Lucy Park
- License: Apache v2
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