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 751–800 of 846 papers

TitleStatusHype
Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization—0
Interactive Abstractive Summarization for Event News Tweets—0
Inverse Reinforcement Learning for Text Summarization—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
基于统一模型的藏文新闻摘要(Abstractive Summarization of Tibetan News Based on Hybrid Model)—0
Joint Copying and Restricted Generation for Paraphrase—0
Jointly Learning Guidance Induction and Faithful Summary Generation via Conditional Variational Autoencoders—0
KATSum: Knowledge-aware Abstractive Text Summarization—0
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning—0
Keynote Lecture 3: Towards Abstractive Summarization—0
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi—0
Large-Scale Multi-Document Summarization with Information Extraction and Compression—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Layer-wise Regularized Dropout for Neural Language Models—0
Lay Text Summarisation Using Natural Language Processing: A Narrative Literature Review—0
Learning Cluster Patterns for Abstractive Summarization—0
Learning Rich Representation of Keyphrases from Text—0
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video—0
Learning to Decode for Future Success—0
Learning to Summarize Long Texts with Memory Compression and Transfer—0
Legal-HNet: Mixing Legal Long-Context Tokens with Hartley Transform—0
Length-controllable Abstractive Summarization by Guiding with Summary Prototype—0
Length Controlled Generation for Black-box LLMs—0
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization—0
Leveraging Summary Guidance on Medical Report Summarization—0
LexAbSumm: Aspect-based Summarization of Legal Decisions—0
Lexicon-constrained Copying Network for Chinese Abstractive Summarization—0
Linearizing Transformer with Key-Value Memory—0
LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization—0
Long Document Summarization in a Low Resource Setting using Pretrained Language Models—0
Low Resource Summarization using Pre-trained Language Models—0
LPar -- A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces—0
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models—0
May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation—0
Measuring Factual Consistency of Abstractive Summaries—0
Measuring Faithfulness of Abstractive Summaries—0
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—0
Metric Ensembles For Hallucination Detection—0
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
0/1 Deep Neural Networks via Block Coordinate Descent—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
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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