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
mFACE: Multilingual Summarization with Factual Consistency Evaluation—0
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization—0
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization—0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization—0
Modeling Extractive Sentence Intersection via Subtree Entailment—0
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks—0
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization—0
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization—0
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization—0
Momentum Calibration for Text Generation—0
Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models—0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
Multi-Document Summarization of Persian Text using Paragraph Vectors—0
Multi-document summarization using distortion-rate ratio—0
Multi-Fact Correction in Abstractive Text Summarization—0
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022—0
Multilingual Text Summarization on Financial Documents—0
Multimodal Abstractive Summarization for How2 Videos—0
Multi-Reward Reinforced Summarization with Saliency and Entailment—0
Multi-stage Pretraining for Abstractive Summarization—0
Multi-style Generative Reading Comprehension—0
Multi-Task Learning for Cross-Lingual Abstractive Summarization—0
MUSEEC: A Multilingual Text Summarization Tool—0
Named Entity Inclusion in Abstractive Text Summarization—0
Neural Abstractive Summarization with Structural Attention—0
Neural Abstractive Text Summarization and Fake News Detection—0
Neural Abstractive Text Summarizer for Telugu Language—0
Neural Net Models of Open-domain Discourse Coherence—0
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization—0
New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model—0
NLP for Conversations: Sentiment, Summarization, and Group Dynamics—0
Noised Consistency Training for Text Summarization—0
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection—0
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation—0
On Controllable Sparse Alternatives to Softmax—0
On Reducing Repetition in Abstractive Summarization—0
On the Abstractiveness of Neural Document Summarization—0
On the impressive performance of randomly weighted encoders in summarization tasks—0
On the Influence of Masking Policies in Intermediate Pre-training—0
Ontology-Aware Clinical Abstractive Summarization—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset—0
OpineSum: Entailment-based self-training for abstractive opinion summarization—0
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports—0
Optimizing the role of human evaluation in LLM-based spoken document summarization systems—0
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning—0
Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification—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