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 351–400 of 846 papers

TitleStatusHype
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control—0
Few-shot fine-tuning SOTA summarization models for medical dialogues—0
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation—0
Few-shot Mining of Naturally Occurring Inputs and Outputs—0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
BRIDO: Bringing Democratic Order to Abstractive Summarization—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models—0
Building a Dataset for Summarization and Keyword Extraction from Emails—0
Forming Trees with Treeformers—0
ForumSum: A Multi-Speaker Conversation Summarization Dataset—0
Enriching and Controlling Global Semantics for Text Summarization—0
Automatic Summarization of Natural Language—0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
From Extractive to Abstractive Summarization: A Journey—0
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification—0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization—0
Automatic summarization of medical conversations, a review—0
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness—0
Frustratingly Easy Model Ensemble for Abstractive Summarization—0
Fully Abstractive Approach to Guided Summarization—0
Call Centre Conversation Summarization: A Pilot Task at Multiling 2015—0
Can summarization approximate simplification? A gold standard comparison—0
Abstractive Summarization as Augmentation for Document-Level Event Detection—0
Generating Categories for Sets of Entities—0
Generating Diverse and High-Quality Abstractive Summaries with Variational Transformers—0
Abstractive Meeting Summarization with Entailment and Fusion—0
Generating Formality-Tuned Summaries Using Input-Dependent Rewards—0
Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches—0
Generating Topic-Oriented Summaries Using Neural Attention—0
Generation of News Articles from Tweets : An Experiment—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Automatic Generation of Abstracts for Research Papers—0
Automatic Community Creation for Abstractive Spoken Conversations Summarization—0
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
A Hybrid Word-Character Approach to Abstractive Summarization—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Improving Sequence-to-Sequence Learning via Optimal Transport—0
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization—0
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations—0
Automated News Summarization Using Transformers—0
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees—0
A Hybrid Strategy for Chat Transcript Summarization—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—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