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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 651–700 of 846 papers

TitleStatusHype
Denoising based Sequence-to-Sequence Pre-training for Text Generation—0
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media—0
DictFormer: Tiny Transformer with Shared Dictionary—0
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization—0
Discrete Diffusion Language Model for Long Text Summarization—0
Discriminative Adversarial Search for Abstractive Summarization—0
Distinctive Slogan Generation with Reconstruction—0
Diverse Beam Search for Increased Novelty in Abstractive Summarization—0
DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization—0
Document Summarization via Guided Sentence Compression—0
Domain-specific Guided Summarization for Mental Health Posts—0
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?—0
EASE: Extractive-Abstractive Summarization with Explanations—0
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle—0
運用序列到序列生成架構於重寫式自動摘要(Exploiting Sequence-to-Sequence Generation Framework for Automatic Abstractive Summarization)[In Chinese]—0
ED-FAITH: Evaluating Dialogue Summarization on Faithfulness—0
Efficient Online Summarization of Microblogging Streams—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization—0
Enriching and Controlling Global Semantics for Text Summarization—0
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization—0
Entity-based De-noising Modeling for Controllable Dialogue Summarization—0
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models—0
EROS: Entity-Driven Controlled Policy Document Summarization—0
Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics—0
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings—0
Event Graph based Sentence Fusion—0
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization—0
Exploring Cross-Lingual Guidance in Abstractive Summarization—0
Exploring Multitask Learning for Low-Resource AbstractiveSummarization—0
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization—0
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Extractive and Abstractive Summarization Methods for Financial Narrative Summarization in English, Spanish and Greek—0
Extractive Summarization using Continuous Vector Space Models—0
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures—0
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization—0
Factual Error Correction for Abstractive Summaries Using Entity Retrieval—0
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback—0
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization—0
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization—0
Faithful to the Original: Fact Aware Neural Abstractive Summarization—0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Few-shot fine-tuning SOTA summarization models for medical dialogues—0
Few-shot Mining of Naturally Occurring Inputs and Outputs—0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models—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