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
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
Align and Attend: Multimodal Summarization with Dual Contrastive LossesCode1
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
GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERTCode0
Multi Perspective Scientific Document Summarization With Graph Attention Networks (GATS)—0
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
GUSUM: Graph-Based Unsupervised Summarization using Sentence-BERT and Sentence Features—0
Extractive Text Summarization with Latent Topics using Heterogeneous Graph Neural Network—0
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods—0
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information—0
A Hybrid PSO-GA for Extractive Text Summarization—0
Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer—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
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision ProcessesCode1
Topic Modeling Based Extractive Text Summarization—0
CX DB8: A queryable extractive summarizer and semantic search engineCode1
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples—0
DebateSum: A large-scale argument mining and summarization datasetCode1
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network—0
Improving Neural Text Summarization using Knowledge Graphs—0
Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersCode1
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
Screenplay Summarization Using Latent Narrative StructureCode1
Heterogeneous Graph Neural Networks for Extractive Document SummarizationCode1
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Extractive Summarization as Text MatchingCode1
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model—0
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
Hybrid MemNet for Extractive Summarization—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification—0
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning—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