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 125 of 95 papers

TitleStatusHype
CX DB8: A queryable extractive summarizer and semantic search engineCode1
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision ProcessesCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Extractive Summarization as Text MatchingCode1
Screenplay Summarization Using Latent Narrative StructureCode1
DebateSum: A large-scale argument mining and summarization datasetCode1
Text Summarization with Pretrained EncodersCode1
Heterogeneous Graph Neural Networks for Extractive Document SummarizationCode1
Fine-tune BERT for Extractive SummarizationCode1
Get To The Point: Summarization with Pointer-Generator NetworksCode1
Unsupervised Extractive Summarization by Pre-training Hierarchical TransformersCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
Align and Attend: Multimodal Summarization with Dual Contrastive LossesCode1
Leveraging BERT for Extractive Text Summarization on LecturesCode0
IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text SummarisationCode0
Iterative Document Representation Learning Towards Summarization with PolishingCode0
Neural Document Summarization by Jointly Learning to Score and Select SentencesCode0
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text SummarizationCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Centroid-based Text Summarization through Compositionality of Word EmbeddingsCode0
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationCode0
Discourse-Aware Neural Extractive Text SummarizationCode0
BanditSum: Extractive Summarization as a Contextual BanditCode0
A Neural Attention Model for Abstractive Sentence SummarizationCode0
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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