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 551–600 of 846 papers

TitleStatusHype
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language—0
Using multiple ASR hypotheses to boost i18n NLU performance—0
An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations—0
Bengali Abstractive News Summarization(BANS): A Neural Attention ApproachCode0
Task Proposal: Abstractive Snippet Generation for Web Pages—0
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive SummarizationCode0
Distinctive Slogan Generation with Reconstruction—0
SumTitles: a Summarization Dataset with Low Extractiveness—0
Towards Generating Query to Perform Query Focused Abstractive Summarization using Pre-trained ModelCode0
Automatic Summarization of Open-Domain Podcast Episodes—0
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive SummarizationCode0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization—0
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization—0
Using Pre-Trained Transformer for Better Lay Summarization—0
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingCode0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Divide and Conquer: From Complexity to Simplicity for Lay SummarizationCode0
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation—0
Learning to Summarize Long Texts with Memory Compression and Transfer—0
Lexicon-constrained Copying Network for Chinese Abstractive Summarization—0
Multi-Task Learning for Cross-Lingual Abstractive Summarization—0
Multi-hop Inference for Question-driven SummarizationCode0
A Cascade Approach to Neural Abstractive Summarization with Content Selection and FusionCode0
Multi-Fact Correction in Abstractive Text Summarization—0
基于统一模型的藏文新闻摘要(Abstractive Summarization of Tibetan News Based on Hybrid Model)—0
Reducing Quantity Hallucinations in Abstractive SummarizationCode0
Global-aware Beam Search for Neural Abstractive SummarizationCode0
A Baseline Analysis for Podcast Abstractive SummarizationCode0
Generating Categories for Sets of Entities—0
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization—0
Composing Elementary Discourse Units in Abstractive Summarization—0
Self-Attention Guided Copy Mechanism for Abstractive Summarization—0
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset—0
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization—0
LPar -- A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces—0
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach—0
ColdGANs: Taming Language GANs with Cautious Sampling Strategies—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
Improving Truthfulness of Headline GenerationCode0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings—0
Summarization Beyond News: The Automatically Acquired Fandom Corpora—0
DaNewsroom: A Large-scale Danish Summarisation Dataset—0
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization—0
Summarization Corpora of Wikipedia ArticlesCode0
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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