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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 801–846 of 846 papers

TitleStatusHype
Abstractive Headline Generation for Spoken Content by Attentive Recurrent Neural Networks with ASR Error Modeling—0
Abstractive News Summarization based on Event Semantic Link Network—0
Modeling Extractive Sentence Intersection via Subtree Entailment—0
Product Review Summarization by Exploiting Phrase Properties—0
Joint Copying and Restricted Generation for Paraphrase—0
A Simple, Fast Diverse Decoding Algorithm for Neural GenerationCode0
Unsupervised Pretraining for Sequence to Sequence Learning—0
AMR Parsing with an Incremental Joint Model—0
Summarizing Situational and Topical Information During Crises—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
Multi-document abstractive summarization using ILP based multi-sentence compression—0
From Extractive to Abstractive Summarization: A Journey—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
MUSEEC: A Multilingual Text Summarization Tool—0
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization—0
The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring—0
Data-driven Paraphrasing and Stylistic Harmonization—0
Towards Multiple Antecedent Coreference Resolution in Specialized Discourse—0
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and BeyondCode1
Call Centre Conversation Summarization: A Pilot Task at Multiling 2015—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
A Discriminative Model for Semantics-to-String Translation—0
WikiKreator: Improving Wikipedia Stubs Automatically—0
Data-driven sentence generation with non-isomorphic trees—0
Unsupervised Sentence Enhancement for Automatic Summarization—0
Abstractive Summarization of Product Reviews Using Discourse Structure—0
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees—0
A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships—0
A Hybrid Approach to Multi-document Summarization of Opinions in Reviews—0
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization—0
Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries—0
Multi-document summarization using distortion-rate ratio—0
Building a Dataset for Summarization and Keyword Extraction from Emails—0
Extractive Summarization using Continuous Vector Space Models—0
Efficient Online Summarization of Microblogging Streams—0
Supervised Sentence Fusion with Single-Stage Inference—0
Document Summarization via Guided Sentence Compression—0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization—0
AnCora-UPF: A Multi-Level Annotation of Spanish—0
Abstractive Meeting Summarization with Entailment and Fusion—0
Sentence Compression with Joint Structural Inference—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Fully Abstractive Approach to Guided Summarization—0
A Two-step Approach to Sentence Compression of Spoken Utterances—0
Using the Omega Index for Evaluating Abstractive Community Detection—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