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LiyuanLucasLiu
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LD-Net
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
https://arxiv.org/abs/1804.07827
Apache License 2.0
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FileNotFoundError: [Errno 2] No such file or directory: '/root/.ts_cache/b91f996d8ec980e293ffd169408e9f99b9728f4024744405bef1f2f04ecaedd5/download.cached'
#15
TongmengXie
opened
1 year ago
0
MUC-7 Support
#14
loretoparisi
opened
5 years ago
1
Releasing vanilla LSTM pre-trained LM model?
#13
GaryYufei
closed
5 years ago
1
Why label_dim is set to 1600? not the vocab size
#12
guotong1988
opened
5 years ago
0
What is output position in SeqLabel model?
#11
guotong1988
opened
5 years ago
0
Can I prune the layers without editing the RNN to denseRNN?
#10
guotong1988
closed
5 years ago
1
Do you think we can edit transformer to dense structure like LD-Net?
#9
guotong1988
closed
5 years ago
1
Update train_seq_elmo.py
#8
guotong1988
closed
5 years ago
1
Update train_seq_elmo.py
#7
guotong1988
closed
5 years ago
1
What is repackage_hidden?
#6
guotong1988
closed
5 years ago
1
what's the format of ner_dataset.pk or how to generates it
#5
SeekPoint
closed
5 years ago
1
can be applied to chinese data?
#4
zaczou
closed
5 years ago
1
Toparams
#3
LiyuanLucasLiu
closed
6 years ago
0
could train_lm be unsupervised trainer for language model?
#2
ericxsun
closed
6 years ago
1
set up read the doc
#1
LiyuanLucasLiu
closed
6 years ago
0