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 701–750 of 846 papers

TitleStatusHype
Abstractive Summarization Using Attentive Neural TechniquesCode0
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information—0
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information—0
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive SummarizationCode1
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial NetworksCode0
Frustratingly Easy Model Ensemble for Abstractive Summarization—0
A Graph-theoretic Summary Evaluation for ROUGE—0
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling—0
Improving Neural Abstractive Document Summarization with Structural Regularization—0
On the Abstractiveness of Neural Document Summarization—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
The Rule of Three: Abstractive Text Summarization in Three Bullet Points—0
Unsupervised Neural Multi-Document Abstractive Summarization of Reviews—0
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization—0
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue ActsCode0
Closed-Book Training to Improve Summarization Encoder Memory—0
Bottom-Up Abstractive SummarizationCode1
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning RepresentationCode0
Improving Abstraction in Text Summarization—0
Abstractive Summarization Improved by WordNet-based Extractive Sentences—0
NLP for Conversations: Sentiment, Summarization, and Group Dynamics—0
Aspect and Sentiment Aware Abstractive Review Summarization—0
Vocabulary Tailored Summary Generation—0
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization—0
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
A Novel ILP Framework for Summarizing Content with High Lexical Variety—0
A Unified Model for Extractive and Abstractive Summarization using Inconsistency LossCode0
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer NetworksCode0
An Empirical Study of Building a Strong Baseline for Constituency ParsingCode0
The price of debiasing automatic metrics in natural language evalaution—0
Towards Opinion Summarization of Customer Reviews—0
Unsupervised Semantic Abstractive SummarizationCode0
A Multi-lingual Multi-task Architecture for Low-resource Sequence LabelingCode0
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization—0
Entity Commonsense Representation for Neural Abstractive SummarizationCode0
Structure-Infused Copy Mechanisms for Abstractive SummarizationCode0
Generating Topic-Oriented Summaries Using Neural Attention—0
Generative Bridging Network for Neural Sequence Prediction—0
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network—0
Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingCode1
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Toward Abstractive Summarization Using Semantic RepresentationsCode0
Deep Reinforcement Learning For Sequence to Sequence ModelsCode1
A Unified Model for Extractive and Abstractive Summarization using Inconsistency LossCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text SummarizationCode0
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency—0
Global Encoding for Abstractive SummarizationCode0
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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