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 551–600 of 846 papers

TitleStatusHype
Self-Attention Guided Copy Mechanism for Abstractive Summarization—0
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset—0
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization—0
LPar -- A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces—0
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization—0
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Understanding Points of Correspondence between Sentences for Abstractive SummarizationCode1
ColdGANs: Taming Language GANs with Cautious Sampling Strategies—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationCode1
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze RewardCode1
Improving Truthfulness of Headline GenerationCode0
On Faithfulness and Factuality in Abstractive SummarizationCode1
Synthesizer: Rethinking Self-Attention in Transformer ModelsCode1
DaNewsroom: A Large-scale Danish Summarisation Dataset—0
Summarization Beyond News: The Automatically Acquired Fandom Corpora—0
Summarization Corpora of Wikipedia ArticlesCode0
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization—0
Self-Supervised and Controlled Multi-Document Opinion Summarization—0
TLDR: Extreme Summarization of Scientific DocumentsCode1
Lite Transformer with Long-Short Range AttentionCode1
Exploring Explainable Selection to Control Abstractive SummarizationCode0
QURIOUS: Question Generation Pretraining for Text Generation—0
Unsupervised Opinion Summarization with Noising and DenoisingCode1
Neural Abstractive Summarization with Structural Attention—0
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Asking and Answering Questions to Evaluate the Factual Consistency of SummariesCode1
Windowing Models for Abstractive Summarization of Long Texts—0
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization—0
Pre-training for Abstractive Document Summarization by Reinstating Source Text—0
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain PretrainingCode1
Amharic Abstractive Text Summarization—0
BERT Fine-tuning For Arabic Text SummarizationCode0
Abstractive Text Summarization based on Language Model Conditioning and Locality ModelingCode0
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models—0
Enhancing Factual Consistency of Abstractive Summarization—0
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization—0
StructSum: Summarization via Structured RepresentationsCode0
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingCode1
A more abstractive summarization model—0
Discriminative Adversarial Search for Abstractive Summarization—0
On the impressive performance of randomly weighted encoders in summarization tasks—0
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths—0
Learning by Semantic Similarity Makes Abstractive Summarization BetterCode1
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis—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