adding annotation data and code

annotate/AIO_only.sh

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+grep -B 1 -A 5 'aio/' methods_reformat_annotate.out   > methods_reformat_annotate_AIOonly.txt

annotate/PWC_AIO_counts.sh

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+awk '/match_string: / {print tolower(substr($0, index($0, "match_string: ") + 13))}' methods_reformat_annotate_AIOonly.txt | sort | uniq -c | sort -nr | awk '{print $1 "\t" $2}' > PWC_AIO_terms_wcounts.txt
+
+

annotate/PWC_AIO_counts__casesense.sh

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+awk '/match_string: / {print substr($0, index($0, "match_string: ") + 13)}' methods_reformat_annotate_AIOonly.txt | sort | uniq -c | sort -nr | awk '{print $1 "\t" $2}' > PWC_AIO_terms_wcounts_casesense.txt
+
+

annotate/PWC_AIO_general_counts.sh

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+grep 'predicate_id' methods_reformat_annotate_AIOonly.txt | grep label | wc
+grep 'predicate_id' methods_reformat_annotate_AIOonly.txt | grep Exact | wc
+grep 'predicate_id' methods_reformat_annotate_AIOonly.txt | grep Related | wc

annotate/PWC_AIO_terms_wcounts.txt

@@ -0,0 +1,205 @@
+1608	network
+529	layer
+526	function
+308	convolutional neural network
+202	natural language processing
+192	reinforcement learning
+192	classification
+179	cnn
+165	kn
+152	representation learning
+142	self-attention
+128	gan
+120	self-supervised
+113	generative adversarial network
+112	supervised learning
+106	resnet
+106	data augmentation
+85	som
+72	rem
+72	bias
+69	clustering
+67	relu
+67	contrastive learning
+65	deep neural network
+64	self-supervised learning
+63	lstm
+62	recurrent neural network
+62	adaptation
+53	distillation
+52	masked language model
+50	convolutional layer
+47	mlp
+45	domain adaptation
+45	ann
+43	rn
+42	interpretability
+41	nn
+36	autoregressive
+32	transfer learning
+32	graph convolutional network
+30	machine learning
+30	adversarial training
+29	robustness
+28	vae
+27	feedforward network
+27	dn
+27	convnet
+26	gcn
+22	attention layer
+20	hidden layer
+20	feature learning
+19	rectified linear unit
+19	feature extraction
+18	gru
+17	reasoning
+16	meta-learning
+16	ffn
+16	dnn
+16	dimensionality reduction
+15	sigmoid function
+15	self-training
+15	pooling layer
+15	gelu
+14	ranking
+14	perceptron
+14	nlp
+14	denoising autoencoder
+13	tokenization
+13	mp
+13	mc
+12	knn
+12	autoregressive language model
+11	unsupervised learning
+11	embedding layer
+10	transformer network
+10	model architecture
+10	exponential linear unit
+10	active learning
+9	metric learning
+9	fbn
+9	elu
+9	dense layer
+8	time series analysis
+8	subword segmentation
+8	pca
+8	layernorm
+8	large language model
+8	gated recurrent unit
+8	dcn
+8	curriculum learning
+8	cbow
+8	adversarial attacks
+8	activation layer
+7	text generation
+7	sparse autoencoder
+7	scn
+7	normalization layer
+7	model compression
+6	sequence-to-sequence model
+6	markov chain
+6	elm
+6	deep convolutional network
+6	decision tree
+6	catastrophic forgetting
+5	sentencepiece
+5	recurrent network
+5	logistic regression
+5	linear function
+5	glm
+5	generalized linear model
+5	gaussian error linear unit
+5	end-to-end training
+5	artificial neural network
+4	standardization
+4	skipgram
+4	refining
+4	parameter efficiency
+4	multimodal transformer
+4	linear regression
+4	graphical model
+4	ensemble learning
+4	deep belief network
+4	continual learning
+4	computational efficiency
+4	binary classification
+4	ae
+3	vision-language model
+3	unidirectional
+3	training strategies
+3	svm
+3	softmax layer
+3	selu
+3	ridge regression
+3	restricted boltzmann machine
+3	recurrent layer
+3	rbm
+3	random forest
+3	pretrained models
+3	preprocessing
+3	output layer
+3	model parallelism
+3	lifelong learning
+3	lambda layer
+3	k-nn
+3	input layer
+3	fragmentation
+3	dimension reduction
+3	data processing
+3	dae
+3	conv1d
+3	cluster analysis
+3	bidirectional encoder
+2	zero-shot learning
+2	text normalization
+2	support vector machine
+2	supervised clustering
+2	softmax function
+2	semantic embeddings
+2	self-organizing map
+2	scaled exponential linear unit
+2	recursive neural network
+2	learning paradigms
+2	iterative refinement
+2	hopfield network
+2	hierarchical clustering
+2	few-shot learning
+2	external memory
+2	exponential function
+2	echo state network
+2	directed acyclic graph
+2	deep active learning
+2	dbn
+2	dag
+2	conditional computation
+2	byte pair encoding
+1	variational auto encoder
+1	unsupervised clustering
+1	unified encoder
+1	tanh function
+1	systematic generalization
+1	softsign function
+1	sae
+1	rnn layer
+1	resizing layer
+1	relu function
+1	regularization layer
+1	recnn
+1	principal component analysis
+1	pretext tasks
+1	pgm
+1	out-of-distribution generalization
+1	osl
+1	one-shot learning
+1	ntm
+1	multiclass classification
+1	kohonen network
+1	knowledge transfer
+1	knowledge integration
+1	hn
+1	dropout layer
+1	deep residual network
+1	data curation
+1	data cleaning
+1	conv2d
+1	conditional masking