Abstractive Text Summarization

Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

Source: Generative Adversarial Network for Abstractive Text Summarization

Image credit: Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Papers

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Showing 426–450 of 846 papers

Title	Date	Tasks	Status	Hype
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews	Aug 1, 2021	Abstractive Text Summarization	—Unverified	0
EmailSum: Abstractive Email Thread Summarization	Jul 30, 2021	Abstractive Text SummarizationEmail Thread Summarization	CodeCode Available	1
DeepTitle -- Leveraging BERT to generate Search Engine Optimized Headlines	Jul 22, 2021	Abstractive Text SummarizationArticles	—Unverified	0
Improving Factual Consistency of Abstractive Summarization on Customer Feedback	Jun 30, 2021	Abstractive Text SummarizationText Summarization	—Unverified	0
Topic Modeling Based Extractive Text Summarization	Jun 29, 2021	Abstractive Text SummarizationExtractive Text Summarization	—Unverified	0
R-Drop: Regularized Dropout for Neural Networks	Jun 28, 2021	Abstractive Text Summarizationimage-classification	CodeCode Available	1
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages	Jun 25, 2021	Abstractive Text SummarizationText Summarization	CodeCode Available	1
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders	Jun 25, 2021	Abstractive Text SummarizationDecoder	CodeCode Available	0
Subjective Bias in Abstractive Summarization	Jun 18, 2021	Abstractive Text Summarization	CodeCode Available	0
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance	Jun 15, 2021	Abstractive Text SummarizationOpinion Summarization	CodeCode Available	0
Neural Abstractive Unsupervised Summarization of Online News Discussions	Jun 7, 2021	Abstractive Text SummarizationUnsupervised Text Summarization	CodeCode Available	1
Attention Temperature Matters in Abstractive Summarization Distillation	Jun 7, 2021	Abstractive Text SummarizationText Summarization	CodeCode Available	1
AgreeSum: Agreement-Oriented Multi-Document Summarization	Jun 4, 2021	Abstractive Text SummarizationArticles	—Unverified	0
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization	Jun 3, 2021	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution	Jun 3, 2021	Abstractive Text SummarizationDecoder	CodeCode Available	1
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text	Jun 3, 2021	Abstractive Text Summarization	—Unverified	0
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization	Jun 2, 2021	Abstractive Text Summarization	CodeCode Available	1
IMPROVING ABSTRACTIVE SUMMARIZATION WITH SEGMENT-AUGMENTED AND POSITION-AWARENESS (ACLing2021)	Jun 1, 2021	Abstractive Text SummarizationPosition	CodeCode Available	0
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization	Jun 1, 2021	Abstractive Text SummarizationQuestion Answering	—Unverified	0
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning	Jun 1, 2021	Abstractive Text SummarizationTransfer Learning	—Unverified	0
UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization	Jun 1, 2021	Abstractive Text SummarizationDenoising	—Unverified	0
UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization	Jun 1, 2021	Abstractive Text SummarizationDecoder	—Unverified	0
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization	Jun 1, 2021	Abstractive Text SummarizationDecoder	—Unverified	0
Unsupervised document summarization using pre-trained sentence embeddings and graph centrality	Jun 1, 2021	Abstractive Text SummarizationDocument Summarization	—Unverified	0
Question-aware Transformer Models for Consumer Health Question Summarization	Jun 1, 2021	Abstractive Text SummarizationDecoder	—Unverified	0

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All datasets CNN / Daily Mail Abstractive Text Summarization from Il Post vietnews Abstractive Text Summarization from Fanpage EDUsum CNN/Daily Mail MLSum-it WITS AESLC eLife Inshorts News MLSUM de

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Scrambled code + broken (alter)	ROUGE-1	48.18	—	Unverified
2	BRIO	ROUGE-1	47.78	—	Unverified
3	Pegasus	ROUGE-1	47.36	—	Unverified
4	PEGASUS + SummaReranker	ROUGE-1	47.16	—	Unverified
5	Scrambled code + broken	ROUGE-1	46.71	—	Unverified
6	BART + SimCLS	ROUGE-1	46.67	—	Unverified
7	SEASON	ROUGE-1	46.27	—	Unverified
8	Fourier Transformer	ROUGE-1	44.76	—	Unverified
9	GLM-XXLarge	ROUGE-1	44.7	—	Unverified
10	BART + R-Drop	ROUGE-1	44.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBART	ROUGE-1	38.91	—	Unverified
2	mBART	ROUGE-1	38.91	—	Unverified
3	BART-IT	ROUGE-1	37.31	—	Unverified
4	mT5	ROUGE-1	35.04	—	Unverified
5	IT5	ROUGE-1	33.78	—	Unverified
6	IT5-base	ROUGE-1	32.88	—	Unverified
7	Pegasus-CNN/DM (eng-it translation)	ROUGE-1	23.96	—	Unverified
8	Pegasus-XSum (eng-it translation)	ROUGE-1	21.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Kết quả nghiên cứu	Rouge-1	67.8	—	Unverified
2	ViT5 large	Rouge-1	63.37	—	Unverified
3	ViT5 base	Rouge-1	62.77	—	Unverified
4	BARTpho	Rouge-1	61.14	—	Unverified
5	mBART	Rouge-1	59.81	—	Unverified
6	mT5	Rouge-1	58.05	—	Unverified
7	Transformer	Rouge-1	57.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBART	ROUGE-1	36.52	—	Unverified
2	mBART	ROUGE-1	36.5	—	Unverified
3	BART-IT	ROUGE-1	35.42	—	Unverified
4	mT5	ROUGE-1	34.13	—	Unverified
5	IT5-base	ROUGE-1	33.99	—	Unverified
6	IT5	ROUGE-1	33.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GP_Step_Sim	ROUGE-1	64.48	—	Unverified
2	NEZHA	ROUGE-1	63.91	—	Unverified
3	RoBERTa	ROUGE-1	63.22	—	Unverified
4	BERT	ROUGE-1	62.37	—	Unverified
5	Seq2seq	ROUGE-1	48.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART (TextBox 2.0)	ROUGE-1	44.47	—	Unverified
2	SEGMENT	ROUGE-1	42.1	—	Unverified
3	CriSPO 3-shot	ROUGE-1	42.1	—	Unverified
4	Claude Instant + SigExt	ROUGE-1	42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBART	rouge1	19.35	—	Unverified
2	IT5	rouge1	19.29	—	Unverified
3	Pegasus-CNN/DM (eng-it translation)	rouge1	16.97	—	Unverified
4	Pegasus-XSum (eng-it translation)	rouge1	15.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART-IT	ROUGE-1	42.32	—	Unverified
2	mT5	ROUGE-1	40.6	—	Unverified
3	mBART	ROUGE-1	39.32	—	Unverified
4	IT5-base	ROUGE-1	37.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PEGASUS	ROUGE-1	37.68	—	Unverified
2	Multi-Stage Extractor/Abstractor	ROUGE-1	23.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Two stage LLMs	Test ROGUE-1	0.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2SAM	ROUGE	48.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBART	METEOR	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBART	METEOR	0.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Two stage LLMs	Test ROGUE-1	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BertSum	Content F1	29.8	—	Unverified