Comments (3)
You can use polyglot to load the embeddings file or even use gensim. The
embedding will not be useful for POS or NER task as they already using
different set of embeddings.
On Wed, Dec 16, 2015 at 1:09 PM yina [email protected] wrote:
glove produces data of the form shown below. how do I load these glove
produced files into polyglot so I can take advantage of the polyglot
infrastructure?in 0.089187 0.25792 0.26282 -0.029365 0.47187 -0.10389 -0.10013 0.08123
0.20883 2.5726 -0.67854 0.036121 0.13085 0.0012462 0.14769 0.26926 0.37144
1.3501 -0.11326 -0.23036 -0.26575 -0.18077 0.092455 -0.16215 0.15003
-0.34547 0.072295 0.40659 0.010021 -0.0079257 -0.11435 0.017008 -0.29789
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-0.17362 -0.35745 0.054487 0.39941 0.13699 -0.022066 0.11025 -0.41898
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-0.11518 0.013196 -0.10616 -0.36093 0.023634 0.13464 0.021652 -0.27094
-0.018737 0.10017 0.36071 -0.093951 0.47634 0.12874 0.0011868 0.1377
-0.14034 -0.1887 -0.16405 -0.15349 0.32347 -0.17616 0.3523 -0.023531
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0.1286 -0.38111 -0.025482 0.45103 0.088633 0.36288 -0.23406 -0.086024
-0.50604 0.034242 0.43998 -0.083023 -0.11969 0.68686 -0.34115 0.21228
0.40039 0.26367 -0.37144 0.16206 -0.42854 0.078658 -0.2905 0.2 1727
-0.27484 0.35887 0.27055 -0.11326 -0.14848 -0.0050659 -0.076862 0.078621
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-0.058461 -0.29733 -0.090996 0.5246 0.14889 -0.20883 -0.13004 -0.20022
0.4503 -0.34654 -0.26007 0.35247 -0.34757 0.033738 0.19907 -0.32912
-0.084689 0.65319 0.20954 0.079274 0.1086 0.0026466 -0.12843 -0.22811
0.051501 -0.27429 0.14505 -0.1843 -0.34825 -0.11701 0.34034 0.075848
0.08239 -0.39188 -0.022312 -0.080373 0.14477 0.29701 -0.10523 0.092893
0.029813 -0.11761 0.16308 0.098382 0.46152 -0.162 -0.2456 0.20293 -0.11344
0.057902 -0.19528 -0.20141 -0.22874 -0.014101 0.2637 -0.10028 -0.051896
0.18859 -0.17767 -0.11556 0.121 0.17303 0.11773 0.034837 0.28485 -0.30447
0.061024 -0.26442 -0.081135 -0.044524 -0.036931 -0.15217 0.29175 0.44926
-0.28875 0.33193 -0.01242 -0.18805 -0.19832 -0.19736 0.26893 0.11106
-0.67383 -0.1518 -0.16615 -0.16563 0.0093671 -0.15945 -0.33468 0.22038
-0.16724 -0.1535 -0.61782 -0.17258 0.088928 0.019411 0.18296 0.32 967
-0.0024906 -0.09208 0.514 0.0042484 -0.084377 -0.71448 -0.22148 -0.04835
0.043761 -0.29376 -0.22287 0.18001 0.072197 0.46499 0.056466 0.40844
-0.23641 -0.038946 0.087363 -0.21901 -0.3231 -0.19989 -0.3128 -0.067656
-0.22596 0.090926 0.28365 0.31462 0.46082 -0.024871 -0.14605 0.30454
0.17704 -0.011311 0.26807 -0.032461 -0.16644 -0.15313 -0.20426 -0.3082
-0.2459 0.085848 -0.11767 -0.063056 -0.18133 -0.18629 -0.17694 0.29618
0.35987 0.0020102 0.38616 0.36712 -0.055112 -0.34733 -0.072678 -0.051119
-0.29069 0.053598 0.019587 0.16808 -0.27456 -0.097179 -0.054541 0.19229
-0.48128 -0.20304 0.19368 -0.32546 0.14421 -0.169 0.26501—
Reply to this email directly or view it on GitHub
https://github.com/aboSamoor/polyglot/issues/38.
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thank you for the comment. i tried to load the files directly without luck with the code below but it didn't work. I also tried to unzip it and then load it with no luck either. feel like i'm missing something obvious.
from polyglot.mapping import Embedding
embeddings = Embedding.load("glove.840B.300d.zip")
neighbors = embeddings.nearest_neighbors("green")
from polyglot.
Now loading from GloVe models is supported upon a5b4c90
And documents are also updated.
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