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
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationCode0
TVStoryGen: A Dataset for Generating Stories with Character DescriptionsCode1
Measuring Factual Consistency of Abstractive Summaries—0
Exploring Multitask Learning for Low-Resource AbstractiveSummarization—0
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization—0
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization—0
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation—0
Augmented Abstractive Summarization With Document-LevelSemantic Graph—0
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
Sequence Level Contrastive Learning for Text SummarizationCode1
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems—0
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive SummarizationCode1
Improving Abstractive Summarization with Commonsense Knowledge—0
On Reducing Repetition in Abstractive Summarization—0
Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization—0
Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models—0
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive SummarizationCode1
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationCode1
Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationCode1
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text SummarizationCode1
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text SummarizationCode1
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization—0
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization—0
Semantic Similarity Based Evaluation for Abstractive News SummarizationCode0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews—0
EmailSum: Abstractive Email Thread SummarizationCode1
DeepTitle -- Leveraging BERT to generate Search Engine Optimized Headlines—0
Improving Factual Consistency of Abstractive Summarization on Customer Feedback—0
Topic Modeling Based Extractive Text Summarization—0
R-Drop: Regularized Dropout for Neural NetworksCode1
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 LanguagesCode1
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual EncodersCode0
Subjective Bias in Abstractive SummarizationCode0
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic GuidanceCode0
Neural Abstractive Unsupervised Summarization of Online News DiscussionsCode1
Attention Temperature Matters in Abstractive Summarization DistillationCode1
AgreeSum: Agreement-Oriented Multi-Document Summarization—0
SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text—0
Enriching Transformers with Structured Tensor-Product Representations for Abstractive SummarizationCode1
IMPROVING ABSTRACTIVE SUMMARIZATION WITH SEGMENT-AUGMENTED AND POSITION-AWARENESS (ACLing2021)Code0
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization—0
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning—0
UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization—0
UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization—0
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization—0
Unsupervised document summarization using pre-trained sentence embeddings and graph centrality—0
Question-aware Transformer Models for Consumer Health Question 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