josh-segal NLP-Presentation-Similarity-Evaluation issues

josh-segal / NLP-Presentation-Similarity-Evaluation

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Figure out transformer model loading issue

#17 josh-segal opened 2 months ago
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change normalization for log_reg demo

#16 josh-segal opened 2 months ago
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Use cross validation (K-fold)

#15 josh-segal opened 2 months ago
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Future directions: smarter text preprocessing to group sentences by similarity and find groups of topics to compare with doc2vec embeddings instead of static single sentence comparisons

#14 josh-segal opened 2 months ago
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Future directions: use more complex matching than keyword matching for entailment pair creation

#13 josh-segal opened 2 months ago
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Train dropout on full dataset and compare with no dropout LSTM RNN bayesian optimized

#12 josh-segal opened 2 months ago
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Test dropout on bayesian optimized hyperparameters for LSTM RNN

#11 josh-segal opened 2 months ago
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Incorporate human feedback into evaluation

#10 josh-segal opened 2 months ago
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Create front-end demo of feeding presentation-paper pair

#9 josh-segal opened 2 months ago
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Document code heavily

#8 josh-segal opened 2 months ago
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Abstract preprocessing function to py file if possible

#7 josh-segal opened 2 months ago
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Entailment Evaluation

#6 josh-segal opened 2 months ago
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Entailment Pair Creation

#5 josh-segal opened 2 months ago
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Train SVM

#4 josh-segal opened 2 months ago
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Train Logistic Regression

#3 josh-segal opened 2 months ago
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Train Transformer

#2 josh-segal opened 2 months ago
1
Train LSTM RNN

#1 josh-segal opened 2 months ago
2