Table 1.

Paragraph classification results.

Features	Model	P	R	F1
Emb + count	LR	0.228	0.794	0.352
	RF	0.350	0.564	0.426
	SVM	0.202	0.836	0.326
Emb	LR	0.168	0.806	0.28
	RF	0.328	0.542	0.404
	SVM	0.166	0.84	0.278
TF-IDF + count	LR	0.290	0.724	0.412
	RF	0.324	0.694	0.438
	SVM	0.274	0.766	0.404
TF-IDF	LR	0.272	0.786	0.404
	RF	0.326	0.644	0.432
	SVM	0.270	0.758	0.398

P precision, R recall, F1 F1-score for different classification algorithms: LR logistic regression, RF random forests, SVM support vector machines.