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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 846 papers

TitleStatusHype
Improving Abstractive Summarization with Commonsense Knowledge—0
Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization—0
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization—0
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization—0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
Semantic Similarity Based Evaluation for Abstractive News SummarizationCode0
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews—0
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
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
AgreeSum: Agreement-Oriented Multi-Document Summarization—0
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text—0
Unsupervised document summarization using pre-trained sentence embeddings and graph centrality—0
Question-aware Transformer Models for Consumer Health Question Summarization—0
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization—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
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization—0
IMPROVING ABSTRACTIVE SUMMARIZATION WITH SEGMENT-AUGMENTED AND POSITION-AWARENESS (ACLing2021)Code0
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning—0
Text Summarization with Latent Queries—0
Reinforced Generative Adversarial Network for Abstractive Text Summarization—0
Noised Consistency Training for Text Summarization—0
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
EASE: Extractive-Abstractive Summarization with Explanations—0
Semantic Extractor-Paraphraser based Abstractive Summarization—0
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
On the Influence of Masking Policies in Intermediate Pre-training—0
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations—0
Transductive Learning for Abstractive News Summarization—0
Planning with Learned Entity Prompts for Abstractive Summarization—0
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization—0
Long Document Summarization in a Low Resource Setting using Pretrained Language Models—0
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
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer—0
Subformer: A Parameter Reduced Transformer—0
Literature Retrieval for Precision Medicine with Neural Matching and Faceted SummarizationCode0
Show:102550
← PrevPage 11 of 17Next →
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