Text Summarization On Gigaword

Metrics

ROUGE-1

ROUGE-2

ROUGE-L

Results

Performance results of various models on this benchmark

Model Name	ROUGE-1	ROUGE-2	ROUGE-L	Paper Title	Repository
Reinforced-Topic-ConvS2S	36.92	18.29	34.58	A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization	-
ERNIE-GENLARGE (large-scale text corpora)	39.46	20.34	36.74	ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation	-
Contextual Match	26.48	10.05	24.41	Simple Unsupervised Summarization by Contextual Matching	-
words-lvt5k-1sent	36.4	17.7	33.71	Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond	-
BART-RXF	40.45	20.69	36.56	Better Fine-Tuning by Reducing Representational Collapse	-
Concept pointer+DS	37.01	17.1	34.87	Concept Pointer Network for Abstractive Summarization	-
ERNIE-GENBASE	38.83	20.04	36.20	ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation	-
MUPPET BART Large	40.4	20.54	36.21	Muppet: Massive Multi-task Representations with Pre-Finetuning	-
DRGD	36.27	17.57	33.62	Deep Recurrent Generative Decoder for Abstractive Text Summarization	-
OFA	39.81	20.66	37.11	OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework	-
JointParsing	36.61	18.85	34.33	Joint Parsing and Generation for Abstractive Summarization	-
FTSum_g	37.27	17.65	34.24	Faithful to the Original: Fact Aware Neural Abstractive Summarization	-
Transformer+Wdrop	39.66	20.45	36.59	Rethinking Perturbations in Encoder-Decoders for Fast Training	-
Pointer + Coverage + EntailmentGen + QuestionGen	35.98	17.76	33.63	Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation	-
SEASS	36.15	17.54	33.63	Selective Encoding for Abstractive Sentence Summarization	-
Struct+2Way+Word	35.47	17.66	33.52	Structure-Infused Copy Mechanisms for Abstractive Summarization	-
ControlCopying + BPNorm	39.19	20.38	36.69	Controlling the Amount of Verbatim Copying in Abstractive Summarization	-
Re^3 Sum	37.04	19.03	34.46	Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization	-
ControlCopying + SBWR	39.08	20.47	36.69	Controlling the Amount of Verbatim Copying in Abstractive Summarization	-
Concept pointer+RL	38.02	16.97	35.43	Concept Pointer Network for Abstractive Summarization	-

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