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 Text Summarization by Incorporating Reader Comments—0
A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification—0
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks—0
Abstractive Summarization of Reddit Posts with Multi-level Memory NetworksCode0
Task Proposal: The TL;DR Challenge—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
On Controllable Sparse Alternatives to Softmax—0
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
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial NetworksCode0
On the Abstractiveness of Neural Document Summarization—0
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
Frustratingly Easy Model Ensemble for Abstractive Summarization—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
A Graph-theoretic Summary Evaluation for ROUGE—0
Improving Neural Abstractive Document Summarization with Structural Regularization—0
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling—0
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
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
Vocabulary Tailored Summary Generation—0
Aspect and Sentiment Aware Abstractive Review Summarization—0
NLP for Conversations: Sentiment, Summarization, and Group Dynamics—0
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation—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
The price of debiasing automatic metrics in natural language evalaution—0
An Empirical Study of Building a Strong Baseline for Constituency ParsingCode0
Unsupervised Semantic Abstractive SummarizationCode0
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization—0
Towards Opinion Summarization of Customer Reviews—0
A Multi-lingual Multi-task Architecture for Low-resource Sequence LabelingCode0
Structure-Infused Copy Mechanisms for Abstractive SummarizationCode0
Entity Commonsense Representation for Neural Abstractive SummarizationCode0
Generating Topic-Oriented Summaries Using Neural Attention—0
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network—0
Generative Bridging Network for Neural Sequence Prediction—0
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Toward Abstractive Summarization Using Semantic RepresentationsCode0
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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