SOTAVerified

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
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument MiningCode1
Reinforced Generative Adversarial Network for Abstractive Text Summarization—0
Text Summarization with Latent Queries—0
Noised Consistency Training for Text Summarization—0
Cross-Lingual Abstractive Summarization with Limited Parallel ResourcesCode1
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph—0
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media—0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue—0
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization—0
BookSum: A Collection of Datasets for Long-form Narrative SummarizationCode1
EASE: Extractive-Abstractive Summarization with Explanations—0
The Summary Loop: Learning to Write Abstractive Summaries Without ExamplesCode1
Improving Factual Consistency of Abstractive Summarization via Question AnsweringCode1
Long-Span Summarization via Local Attention and Content SelectionCode1
Semantic Extractor-Paraphraser based Abstractive Summarization—0
The Factual Inconsistency Problem in Abstractive Text Summarization: A SurveyCode1
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsCode1
Automated News Summarization Using Transformers—0
Text Summarization of Czech News Articles Using Named Entities—0
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection—0
MT6: Multilingual Pretrained Text-to-Text Transformer with Translation PairsCode1
On the Influence of Masking Policies in Intermediate Pre-training—0
Transductive Learning for Abstractive News Summarization—0
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringCode1
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text SummarizationCode1
Planning with Learned Entity Prompts for Abstractive Summarization—0
SummScreen: A Dataset for Abstractive Screenplay SummarizationCode1
Annotating and Modeling Fine-grained Factuality in SummarizationCode1
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization—0
Mask Attention Networks: Rethinking and Strengthen TransformerCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
GLM: General Language Model Pretraining with Autoregressive Blank InfillingCode3
IOT: Instance-wise Layer Reordering for Transformer StructuresCode1
Long Document Summarization in a Low Resource Setting using Pretrained Language Models—0
Meta-Transfer Learning for Low-Resource Abstractive SummarizationCode1
Entity-level Factual Consistency of Abstractive Text SummarizationCode1
Centroid Transformers: Learning to Abstract with Attention—0
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics—0
Unsupervised Abstractive Summarization of Bengali Text DocumentsCode0
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
Neural Abstractive Text Summarizer for Telugu Language—0
Summaformers @ LaySumm 20, LongSumm 20Code1
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative TransformersCode1
Subformer: A Parameter Reduced Transformer—0
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer—0
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text SummarizationCode1
Literature Retrieval for Precision Medicine with Neural Matching and Faceted SummarizationCode0
Unsupervised Opinion Summarization with Content PlanningCode1
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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