Attentive_Convolution
This released code corresponds to TACL paper "attentive convolution". Attentive Convolution aims to generate a vector for two sentences.
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- calc_error_metrics.py
- classify.py
- classify_mode.py
- classify_xval.py
- prepare_significance_test.py
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- __init__.py
- kmeans.py
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- automatic_cluster_labeling.py
- combine_files.py
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- __init__.py
- convert_apnews_to_text.py
- escape_regex.py
- filter_file_by_lines.py
- preprocess.py
- splitter.py
- text_to_bow.py
- text_to_features.py
- tokenizer.py
- word_count.py
- __init__.py
- corpus.py
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- calc_matrix_statistics.py
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- gpu_test.py
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- visualize_by_tsne.py
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- text.py
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- analyze_lbl_distribution.py
- classify_imdb_docs.py
- create_embeddings.py
- extract_model_data.py
- extract_words_with_we.py
- prepare_brown_file.py
- test_mlp.py
- train_mlp.py
- train_model.py
- use_lm.py
- use_model.py
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- networks.py
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- layers.py
- networks.py
- predictor.py
- tools.py
- trainer.py
- util.py
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- examples_generator.py
- theano_extensions.py
- util.py
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- __init__.py
- AUTHORS.rst
- MANIFEST.in
- README.rst
- common_functions.py
- load_data.py
- logistic_sgd.py
- mlp.py
- train_AttentiveConvNet_easy_version.py
- train_AttentiveConvNet_SNLI_light.py
- README.md
// repository documentation
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