SOTAVerified

Extractive Text Summarization

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

Papers

Showing 150 of 95 papers

TitleStatusHype
Get To The Point: Summarization with Pointer-Generator NetworksCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
Text Summarization with Pretrained EncodersCode1
Heterogeneous Graph Neural Networks for Extractive Document SummarizationCode1
Fine-tune BERT for Extractive SummarizationCode1
Screenplay Summarization Using Latent Narrative StructureCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Extractive Summarization as Text MatchingCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersCode1
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision ProcessesCode1
Align and Attend: Multimodal Summarization with Dual Contrastive LossesCode1
CX DB8: A queryable extractive summarizer and semantic search engineCode1
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
A Neural Attention Model for Abstractive Sentence SummarizationCode0
TAP-DLND 1.0 : A Corpus for Document Level Novelty DetectionCode0
Iterative Document Representation Learning Towards Summarization with PolishingCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text SummarizationCode0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Leveraging BERT for Extractive Text Summarization on LecturesCode0
BanditSum: Extractive Summarization as a Contextual BanditCode0
Neural Document Summarization by Jointly Learning to Score and Select SentencesCode0
Neural Extractive Text Summarization with Syntactic CompressionCode0
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationCode0
GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERTCode0
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
Ranking Sentences for Extractive Summarization with Reinforcement LearningCode0
Discourse-Aware Neural Extractive Text SummarizationCode0
Reading Like HER: Human Reading Inspired Extractive SummarizationCode0
Document Modeling with External Attention for Sentence ExtractionCode0
Centroid-based Text Summarization through Compositionality of Word EmbeddingsCode0
IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text SummarisationCode0
Searching for Effective Neural Extractive Summarization: What Works and What's NextCode0
Language Model Pre-training for Hierarchical Document Representations0
Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches0
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization0
MultiGBS: A multi-layer graph approach to biomedical summarization0
Multi-layered graph-based multi-document summarization model0
Multi Perspective Scientific Document Summarization With Graph Attention Networks (GATS)0
Multiplex Graph Neural Network for Extractive Text Summarization0
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network0
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization0
Neural Latent Extractive Document Summarization0
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model0
RankSum An unsupervised extractive text summarization based on rank fusion0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization0
San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants0
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Benchmark Results

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