SOTAVerified

Extractive Text Summarization

Given a document, selecting a subset of the words or sentences which best represents a summary of the document.

Papers

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Showing 1–50 of 95 papers

TitleStatusHype
Align and Attend: Multimodal Summarization with Dual Contrastive LossesCode1
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision ProcessesCode1
CX DB8: A queryable extractive summarizer and semantic search engineCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersCode1
Screenplay Summarization Using Latent Narrative StructureCode1
Heterogeneous Graph Neural Networks for Extractive Document SummarizationCode1
Extractive Summarization as Text MatchingCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
Text Summarization with Pretrained EncodersCode1
Fine-tune BERT for Extractive SummarizationCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Get To The Point: Summarization with Pointer-Generator NetworksCode1
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text SummarizationCode0
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization—0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
RankSum An unsupervised extractive text summarization based on rank fusion—0
Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization—0
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19—0
San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants—0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
Multi Perspective Scientific Document Summarization With Graph Attention Networks (GATS)—0
GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERTCode0
IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text SummarisationCode0
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization—0
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information—0
Extractive Text Summarization with Latent Topics using Heterogeneous Graph Neural Network—0
GUSUM: Graph-Based Unsupervised Summarization using Sentence-BERT and Sentence Features—0
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods—0
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information—0
Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer—0
A Hybrid PSO-GA for Extractive Text Summarization—0
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization—0
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization—0
Multiplex Graph Neural Network for Extractive Text Summarization—0
Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization—0
Topic Modeling Based Extractive Text Summarization—0
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples—0
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network—0
Improving Neural Text Summarization using Knowledge Graphs—0
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model—0
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
Hybrid MemNet for Extractive Summarization—0
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All datasetsCNN / Daily MailDebateSumGovReportDUC 2004DUC 2004 Task 1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HAHSumROUGE-144.68—Unverified
2Scaled-MatchSumROUGE-144.51—Unverified
3MatchSumROUGE-144.41—Unverified
4A2SummROUGE-144.11—Unverified
5NeRoBERTaROUGE-143.86—Unverified
6BERT-ext + RLROUGE-142.76—Unverified
7PNBERTROUGE-142.69—Unverified
8HIBERTROUGE-142.37—Unverified
9HERROUGE-142.3—Unverified
10NeuSUMROUGE-141.59—Unverified
#ModelMetricClaimedVerifiedStatus
1Longformer-BaseROUGE-L57.21—Unverified
2GPT2-MediumROUGE-L53.23—Unverified
3BERT-LargeROUGE-L49.98—Unverified
#ModelMetricClaimedVerifiedStatus
1MemSum (extractive)Avg. Test Rouge159.43—Unverified
2HEPOSAvg. Test Rouge156.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Pre-training-meets-Clustering-A-Hybrid-Extractive-Multi-Document-Summarization-ModelTest ROGUE-134.01—Unverified
#ModelMetricClaimedVerifiedStatus
1AbsROUGE-126.55—Unverified