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 51–95 of 95 papers

TitleStatusHype
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification—0
Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
Using Document Summarization Techniques for Speech Data Subset Selection—0
Using Statistical and Semantic Models for Multi-Document Summarization—0
Using Supervised Bigram-based ILP for Extractive Summarization—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
Extractive Text Summarization using Neural Networks—0
Extractive Text Summarization with Latent Topics using Heterogeneous Graph Neural Network—0
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization—0
GUSUM: Graph-Based Unsupervised Summarization using Sentence-BERT and Sentence Features—0
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization—0
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information—0
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information—0
Hybrid MemNet for Extractive Summarization—0
Improving Neural Text Summarization using Knowledge Graphs—0
Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization—0
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples—0
Language Model Pre-training for Hierarchical Document Representations—0
Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization—0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
Multi-layered graph-based multi-document summarization model—0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text SummarizationCode0
Leveraging BERT for Extractive Text Summarization on LecturesCode0
Centroid-based Text Summarization through Compositionality of Word EmbeddingsCode0
Document Modeling with External Attention for Sentence ExtractionCode0
Discourse-Aware Neural Extractive Text SummarizationCode0
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationCode0
BanditSum: Extractive Summarization as a Contextual BanditCode0
GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERTCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Ranking Sentences for Extractive Summarization with Reinforcement LearningCode0
Searching for Effective Neural Extractive Summarization: What Works and What's NextCode0
Reading Like HER: Human Reading Inspired Extractive SummarizationCode0
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text SummarisationCode0
Neural Document Summarization by Jointly Learning to Score and Select SentencesCode0
Iterative Document Representation Learning Towards Summarization with PolishingCode0
A Neural Attention Model for Abstractive Sentence SummarizationCode0
Neural Extractive Text Summarization with Syntactic CompressionCode0
TAP-DLND 1.0 : A Corpus for Document Level Novelty DetectionCode0
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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