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 251–300 of 846 papers

TitleStatusHype
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
Deep Communicating Agents for Abstractive Summarization—0
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization—0
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS)—0
Abstractive Text Summarization: State of the Art, Challenges, and Improvements—0
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them—0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
Few-shot Mining of Naturally Occurring Inputs and Outputs—0
Forming Trees with Treeformers—0
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
Centroid Transformers: Learning to Abstract with Attention—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
CATS: Customizable Abstractive Topic-based Summarization—0
CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset—0
An Entity-Driven Framework for Abstractive Summarization—0
Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews—0
Can summarization approximate simplification? A gold standard comparison—0
Call Centre Conversation Summarization: A Pilot Task at Multiling 2015—0
An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
Calibrating Likelihoods towards Consistency in Summarization Models—0
Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM—0
Abstractive Summarization as Augmentation for Document-Level Event Detection—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization—0
An Editorial Network for Enhanced Document Summarization—0
BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization.—0
Building a Dataset for Summarization and Keyword Extraction from Emails—0
AnCora-UPF: A Multi-Level Annotation of Spanish—0
Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches—0
BRIDO: Bringing Democratic Order to Abstractive Summarization—0
An Analysis of Abstractive Text Summarization Using Pre-trained Models—0
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle—0
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization—0
Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges—0
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization—0
Enhancing Factual Consistency of Abstractive Summarization—0
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization—0
Analyzing Sentence Fusion in Abstractive Summarization—0
BOND: Aligning LLMs with Best-of-N Distillation—0
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization—0
Analysis of Multidomain Abstractive Summarization Using Salience Allocation—0
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation—0
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization—0
Abstractive Text Summarization by Incorporating Reader Comments—0
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization—0
Abstractive News Summarization based on Event Semantic Link Network—0
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization—0
Faithful to the Original: Fact Aware Neural 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