Text Simplification On Newsela

المقاييس

BLEU

SARI

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

			Paper Title
CRF Alignment + Transformer	-	36.6	Neural CRF Model for Sentence Alignment in Text Simplification
Pointer + Multi-task Entailment and Paraphrase Generation	11.14	33.22	Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
EditNTS	19.85	31.41	EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
S2S-Cluster-FA	19.55	30.73	Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Edit-Unsup-TS	17.36	30.44	Iterative Edit-Based Unsupervised Sentence Simplification
NSELSTM-S	22.62	29.58	Sentence Simplification with Memory-Augmented Neural Networks
SeqLabel	-	29.53*	Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
Hybrid	14.46*	28.61*	-
NSELSTM-B	26.31	27.42	Sentence Simplification with Memory-Augmented Neural Networks
DRESS	23.21	27.37	Sentence Simplification with Deep Reinforcement Learning
DMASS + DCSS	-	27.28	Integrating Transformer and Paraphrase Rules for Sentence Simplification
DRESS-LS	24.30	26.63	Sentence Simplification with Deep Reinforcement Learning
PBMT-R	18.19*	15.77*	-

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