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......@@ -21,51 +21,51 @@ For more details please read our project report.
# Project structure
|_ cli.py
| The command line interface for our project. Imports and runs the files in scripts/. See Usage for more info.
|
|_ data/
| All necessary inputs and the generated outputs.
| |
| |_ cora
| | |_embeddings - the output of EP on Cora
| | |_graph - the input for EP - a pickled networkX graph
| | |_models - the saved TF models; can be used to save the embeddings after 40 epochs, for instance
| | |_raw - the raw Cora data, input for the Cora preprocessing and the node classification
| | |_summaries - the TF loss summaries for the two Cora label types; used to produce the figures in the report
| |
| |_ other - files that don't belong to a particular dataset
| |
| |_ senseval2/senseval3
| | |_processed - the processed raw S2 or S3 data; input for the WSD
| | |_raw - the raw S2 or S3 data
| | |_wsd-answers - outputs of the WSD on the S2 or S3 data
| |
| |_ wordnet
| |_embeddings - the output of EP on WordNet
| |_graph - the input for EP - a pickled networkX graph
| |_models - the saved TF models; can be used to save the embeddings after 50 epochs, for instance
| |_raw - the raw WN data, input for the preprocessing scripts
| |_summaries - the TF loss summaries for the five WN label types; used to produce the figures in the report
| |_mappings - various mappings for the synset IDs, lemmata, WN3.0->WN1.7 etc.; used in the WSD
|
|_ __init__.py
|
|_ README.md
| This file.
|
|_ requirements.txt
| An image of the virtualenv. -> pip install -r requirements.txt
|
|_ scripts/
| Python scripts for EP, preprocessing, node classification and WSD.
| |
| |_ embedding_propagation - the EP algorithm
| |_ node_classification - the NC experiment on the Cora dataset
| |_ preprocessing - preprocessing scripts for Cora, SensEval, and WordNet. Not part of the CLI, so partly with aux. files.
| |_ scoring - the official S2 and S3 All Words Task scorer for the WSD
| |_ wsd - the two WSD methods
|
|_ cli.py
| The command line interface for our project. Imports and runs the files in scripts/. See Usage for more info.
|
|_ data/
| All necessary inputs and the generated outputs.
| |
| |_ cora/
| | |_embeddings/ - the output of EP on Cora
| | |_graph/ - the input for EP - a pickled networkX graph
| | |_models/ - the saved TF models; can be used to save the embeddings after 40 epochs, for instance
| | |_raw/ - the raw Cora data, input for the Cora preprocessing and the node classification
| | |_summaries/ - the TF loss summaries for the two Cora label types; used to produce the figures in the report
| |
| |_ other/ - files that don't belong to a particular dataset
| |
| |_ senseval2/senseval3
| | |_processed/ - the processed raw S2 or S3 data; input for the WSD
| | |_raw/ - the raw S2 or S3 data
| | |_wsd-answers/ - outputs of the WSD on the S2 or S3 data
| |
| |_ wordnet/
| |_embeddings/ - the output of EP on WordNet
| |_graph/ - the input for EP - a pickled networkX graph
| |_models/ - the saved TF models; can be used to save the embeddings after 50 epochs, for instance
| |_raw/ - the raw WN data, input for the preprocessing scripts
| |_summaries/ - the TF loss summaries for the five WN label types; used to produce the figures in the report
| |_mappings/ - various mappings for the synset IDs, lemmata, WN3.0->WN1.7 etc.; used in the WSD
|
|_ __init__.py
|
|_ README.md
| This file.
|
|_ requirements.txt
| An image of the virtualenv. -> pip install -r requirements.txt
|
|_ scripts/
| Python scripts for EP, preprocessing, node classification and WSD.
| |
| |_ embedding_propagation/ - the EP algorithm
| |_ node_classification/ - the NC experiment on the Cora dataset
| |_ preprocessing/ - preprocessing scripts for Cora, SensEval, and WordNet. Not part of the CLI, so partly with aux. files.
| |_ scoring/ - the official S2 and S3 All Words Task scorer for the WSD
| |_ wsd/ - the two WSD methods
|
# Usage
......
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