CL-AFF-ST

Our codebase for our submission to the AffCon 2019 CL-AFF Shared Task. Still in progress.

File Structure

csv\ contains modified versions of the dataset files provided for the competition, we will not be reuploading the original dataset.

scripts\ contains utility scripts such as our server quick setup script.

lstm_baseline_2label.py is a mutlilabel classification baseline implementation of a naive lstm taking in the default AllenNLP embeddings.

lstm_elmo.py is a baseline implementation of a naive lstm taking ELMo vectors as input and returning both labels as in lstm_baseline_2label.py.

cl_aff_embedders.py contains the custom TextFieldEmbedder that can embed ELMo vectors.

simple_seq2vec.py contains a custom Seq2VecPredictor to predict the social or agency value for a single sentence.

Requires the AllenNLP library and Python 3.6 or above to run.

Unsupervised tasks, continuing characterization of performance, application on other datasets

Name		Name	Last commit message	Last commit date
Latest commit History 102 Commits
CPU		CPU
cl_aff_utils		cl_aff_utils
csv		csv
scripts		scripts
.gitignore		.gitignore
README.md		README.md
TSNE_graph.png		TSNE_graph.png
TSNE_graph_circles.png		TSNE_graph_circles.png
TSNE_graph_new.eps		TSNE_graph_new.eps
autoenc_lstm.py		autoenc_lstm.py
crossvalidationscript_lstm.py		crossvalidationscript_lstm.py
crossvalidationscript_test.py		crossvalidationscript_test.py
crossvalidationscripttest.py		crossvalidationscripttest.py
dcec_xval_pred.py		dcec_xval_pred.py
dcec_xval_test.py		dcec_xval_test.py
dil_conv_elmo_cuda.py		dil_conv_elmo_cuda.py
dilconv_lstm_cuda.py		dilconv_lstm_cuda.py
foo.png		foo.png
lec_xval.py		lec_xval.py
lstm_elmo_cuda.py		lstm_elmo_cuda.py
mystery_backup.py		mystery_backup.py
saved.png		saved.png
test_list.txt		test_list.txt
test_results_0.csv		test_results_0.csv
tsne.py		tsne.py
tsne_dilconv_elmo.py		tsne_dilconv_elmo.py
tsne_generate.py		tsne_generate.py
tsney_list.txt		tsney_list.txt