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
Screenplay Summarization Using Latent Narrative StructureCode1
CX DB8: A queryable extractive summarizer and semantic search engineCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Get To The Point: Summarization with Pointer-Generator NetworksCode1
Fine-tune BERT for Extractive SummarizationCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision ProcessesCode1
Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersCode1
Heterogeneous Graph Neural Networks for Extractive Document SummarizationCode1
Text Summarization with Pretrained EncodersCode1
Extractive Summarization as Text MatchingCode1
Classify or Select: Neural Architectures for Extractive Document Summarization—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks—0
CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19—0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization—0
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks—0
Exploring Domain Shift in Extractive Text Summarization—0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks—0
Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer—0
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization—0
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)—0
A Hybrid PSO-GA for Extractive Text Summarization—0
A New Persian Text Summarization Approach Based on Natural Language Processing and Graph Similarity—0
A Novel System for Extractive Clinical Note Summarization using EHR Data—0
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods—0
A study of semantic augmentation of word embeddings for extractive summarization—0
A topic-based sentence representation for extractive text summarization—0
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
BoWLer: A neural approach to extractive text summarization—0
Multi Perspective Scientific Document Summarization With Graph Attention Networks (GATS)—0
Multiplex Graph Neural Network for Extractive Text Summarization—0
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network—0
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization—0
Neural Latent Extractive Document Summarization—0
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model—0
RankSum An unsupervised extractive text summarization based on rank fusion—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants—0
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization—0
Summary Level Training of Sentence Rewriting for Abstractive Summarization—0
Topic Modeling Based Extractive Text Summarization—0
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization—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