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 401–450 of 846 papers

TitleStatusHype
FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classificationCode0
NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on TwitterCode0
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization—0
Two New Datasets for Italian-Language Abstractive Text SummarizationCode0
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization—0
WikiMulti: a Corpus for Cross-Lingual SummarizationCode0
Spurious Correlations in Reference-Free Evaluation of Text Generation—0
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization—0
Factual Error Correction for Abstractive Summaries Using Entity Retrieval—0
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization—0
Abstractive summarization of hospitalisation histories with transformer networks—0
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization—0
Entity-driven Fact-aware Abstractive Summarization of Biomedical LiteratureCode0
Linearizing Transformer with Key-Value Memory—0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationCode0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam SearchCode0
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization—0
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization—0
Controlling the Focus of Pretrained Language Generation ModelsCode0
Learning Cluster Patterns for Abstractive Summarization—0
Sequence-to-Sequence Resources for CatalanCode0
Survey of Hallucination in Natural Language Generation—0
Differentiable N-gram Objective on Abstractive SummarizationCode0
Submodularity In Machine Learning and Artificial Intelligence—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization—0
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection—0
Measuring Faithfulness of Abstractive Summaries—0
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization—0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques—0
Exploring Cross-Lingual Guidance in Abstractive Summarization—0
Topic-controllable Abstractive Summarization—0
Controlling the Focus of Pretrained Language Generation Models—0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization—0
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization—0
Adaptive Beam Search to Enhance On-device Abstractive Summarization—0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text SummarizationCode0
May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation—0
Reinforced Abstractive Summarization with Adaptive Length Controlling—0
CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization—0
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization—0
New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model—0
Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network—0
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization—0
A Zero-Resource Approach to Cross-Lingual Query-Focused Abstractive Summarization—0
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness—0
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control—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