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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 451–500 of 846 papers

TitleStatusHype
Towards a Neural Network Approach to Abstractive Multi-Document Summarization—0
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis—0
Towards Improving Abstractive Summarization via Entailment Generation—0
Towards Multiple Antecedent Coreference Resolution in Specialized Discourse—0
Towards Opinion Summarization of Customer Reviews—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Transductive Learning for Abstractive News Summarization—0
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths—0
Transformer Based Implementation for Automatic Book Summarization—0
Advancing Multilingual Pre-training: TRIP Triangular Document-level Pre-training for Multilingual Language Models—0
UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization—0
UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization—0
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization—0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue—0
Understanding Multi-Head Attention in Abstractive Summarization—0
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation—0
Unsupervised Aspect-Based Multi-Document Abstractive Summarization—0
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews—0
Unsupervised document summarization using pre-trained sentence embeddings and graph centrality—0
Unsupervised Multi-Granularity Summarization—0
Unsupervised Neural Multi-Document Abstractive Summarization of Reviews—0
Unsupervised Opinion Summarisation in the Wasserstein Space—0
Unsupervised Pretraining for Sequence to Sequence Learning—0
Unsupervised Pretraining for Sequence to Sequence Learning—0
Unsupervised Sentence Enhancement for Automatic Summarization—0
Using multiple ASR hypotheses to boost i18n NLU performance—0
Using Pre-Trained Transformer for Better Lay Summarization—0
Using the Omega Index for Evaluating Abstractive Community Detection—0
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization—0
VBART: The Turkish LLM—0
Video Summarization Techniques: A Comprehensive Review—0
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?—0
Vocabulary Tailored Summary Generation—0
When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries—0
WikiKreator: Improving Wikipedia Stubs Automatically—0
Windowing Models for Abstractive Summarization of Long Texts—0
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization—0
新穎的序列生成架構於中文重寫式摘要之研究(Novel Sequence Generation Framework for Chinese Abstractive Summarization)—0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
Point-less: More Abstractive Summarization with Pointer-Generator Networks—0
Summarization of Investment Reports Using Pre-trained Model—0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Abstractive Headline Generation for Spoken Content by Attentive Recurrent Neural Networks with ASR Error Modeling—0
Abstractive Meeting Summarization with Entailment and Fusion—0
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
Abstractive News Summarization based on Event Semantic Link Network—0
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization—0
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All datasetsCNN / Daily MailAbstractive Text Summarization from Il PostvietnewsAbstractive Text Summarization from FanpageEDUsumCNN/Daily MailMLSum-itWITSAESLCeLifeInshorts NewsMLSUM de

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Scrambled code + broken (alter)ROUGE-148.18—Unverified
2BRIOROUGE-147.78—Unverified
3PegasusROUGE-147.36—Unverified
4PEGASUS + SummaRerankerROUGE-147.16—Unverified
5Scrambled code + brokenROUGE-146.71—Unverified
6BART + SimCLSROUGE-146.67—Unverified
7SEASONROUGE-146.27—Unverified
8Fourier TransformerROUGE-144.76—Unverified
9GLM-XXLargeROUGE-144.7—Unverified
10BART + R-DropROUGE-144.51—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-138.91—Unverified
2mBARTROUGE-138.91—Unverified
3BART-ITROUGE-137.31—Unverified
4mT5ROUGE-135.04—Unverified
5IT5ROUGE-133.78—Unverified
6IT5-baseROUGE-132.88—Unverified
7Pegasus-CNN/DM (eng-it translation)ROUGE-123.96—Unverified
8Pegasus-XSum (eng-it translation)ROUGE-121.03—Unverified
#ModelMetricClaimedVerifiedStatus
1Kết quả nghiên cứuRouge-167.8—Unverified
2ViT5 largeRouge-163.37—Unverified
3ViT5 baseRouge-162.77—Unverified
4BARTphoRouge-161.14—Unverified
5mBARTRouge-159.81—Unverified
6mT5Rouge-158.05—Unverified
7TransformerRouge-157.56—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTROUGE-136.52—Unverified
2mBARTROUGE-136.5—Unverified
3BART-ITROUGE-135.42—Unverified
4mT5ROUGE-134.13—Unverified
5IT5-baseROUGE-133.99—Unverified
6IT5ROUGE-133.83—Unverified
#ModelMetricClaimedVerifiedStatus
1GP_Step_SimROUGE-164.48—Unverified
2NEZHAROUGE-163.91—Unverified
3RoBERTaROUGE-163.22—Unverified
4BERTROUGE-162.37—Unverified
5Seq2seqROUGE-148.62—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-144.47—Unverified
2SEGMENTROUGE-142.1—Unverified
3CriSPO 3-shotROUGE-142.1—Unverified
4Claude Instant + SigExtROUGE-142—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTrouge119.35—Unverified
2IT5rouge119.29—Unverified
3Pegasus-CNN/DM (eng-it translation)rouge116.97—Unverified
4Pegasus-XSum (eng-it translation)rouge115.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BART-ITROUGE-142.32—Unverified
2mT5ROUGE-140.6—Unverified
3mBARTROUGE-139.32—Unverified
4IT5-baseROUGE-137.98—Unverified
#ModelMetricClaimedVerifiedStatus
1PEGASUSROUGE-137.68—Unverified
2Multi-Stage Extractor/AbstractorROUGE-123.67—Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.46—Unverified
#ModelMetricClaimedVerifiedStatus
1T2SAMROUGE48.5—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1mBARTMETEOR0.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Two stage LLMsTest ROGUE-10.44—Unverified
#ModelMetricClaimedVerifiedStatus
1BertSumContent F129.8—Unverified