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 401–450 of 846 papers

TitleStatusHype
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism—0
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation—0
Source-summary Entity Aggregation in Abstractive Summarization—0
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems—0
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization—0
Spurious Correlations in Reference-Free Evaluation of Text Generation—0
SSAS: Semantic Similarity for Abstractive Summarization—0
Pre-training for Abstractive Document Summarization by Reinstating Source Text—0
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset—0
Subformer: A Parameter Reduced Transformer—0
Submodularity In Machine Learning and Artificial Intelligence—0
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization—0
Summarization Beyond News: The Automatically Acquired Fandom Corpora—0
Summarizing Community-based Question-Answer Pairs—0
Summarizing Lengthy Questions—0
Summarizing Situational and Topical Information During Crises—0
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach—0
Summary Level Training of Sentence Rewriting for Abstractive Summarization—0
SumTitles: a Summarization Dataset with Low Extractiveness—0
Supervised Sentence Fusion with Single-Stage Inference—0
Survey of Hallucination in Natural Language Generation—0
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi—0
Systematic Exploration of Dialogue Summarization Approaches for Reproducibility, Comparative Assessment, and Methodological Innovations for Advancing Natural Language Processing in Abstractive Summarization—0
Task-agnostic Distillation of Encoder-Decoder Language Models—0
Task Proposal: Abstractive Snippet Generation for Web Pages—0
Task Proposal: The TL;DR Challenge—0
Teaching Language Models to Hallucinate Less with Synthetic Tasks—0
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising—0
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization—0
Text Generation with Exemplar-based Adaptive Decoding—0
Text Summarization of Czech News Articles Using Named Entities—0
Text Summarization with Latent Queries—0
The Bull and the Bear: Summarizing Stock Market Discussions—0
The Current State of Summarization—0
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics—0
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries—0
The price of debiasing automatic metrics in natural language evalaution—0
The Relation Between Infrastructure Quality and Government Effectiveness in Egypt.—0
The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring—0
The Rule of Three: Abstractive Text Summarization in Three Bullet Points—0
Automatic Summarization of Open-Domain Podcast Episodes—0
TL;DR: Mining Reddit to Learn Automatic Summarization—0
Topic Augmented Generator for Abstractive Summarization—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Topic-controllable Abstractive Summarization—0
Topic Modeling Based Extractive Text Summarization—0
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text—0
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization—0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Towards Adaptive Text Summarization: How Does Compression Rate Affect Summary Readability of L2 Texts?—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