ner_window

Torch implementation of Named Entity Recognition Window Model as specified in cs224d assignment 2.

To train the model:

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
data		data
data_utils		data_utils
nn		nn
.gitignore		.gitignore
Embedding.lua		Embedding.lua
README.md		README.md
assignment2.pdf		assignment2.pdf
clone_check.lua		clone_check.lua
collectSubmission.py		collectSubmission.py
extract_datasets_for_torch.py		extract_datasets_for_torch.py
inv_vocabulary_raw		inv_vocabulary_raw
misc.py		misc.py
misc.pyc		misc.pyc
model_utils.lua		model_utils.lua
ner_window.lua		ner_window.lua
ner_window_cloned_embed_wrong.lua		ner_window_cloned_embed_wrong.lua
ner_window_word_vectors.lua		ner_window_word_vectors.lua
nerwindow.py		nerwindow.py
part0-XOR.ipynb		part0-XOR.ipynb
part1-NER.ipynb		part1-NER.ipynb
part11probing.py		part11probing.py
part2-RNNLM.ipynb		part2-RNNLM.ipynb
play.py		play.py
play1.py		play1.py
requirements.txt		requirements.txt
rnnlm.py		rnnlm.py
softmax_example.py		softmax_example.py
table_utils.lua		table_utils.lua
vocabulary_raw		vocabulary_raw
word_vectors		word_vectors
x_dev		x_dev
x_train		x_train
y_dev		y_dev
y_train		y_train

afcarl/ner_window