SOTAVerified

Document Summarization

Automatic Document Summarization is the task of rewriting a document into its shorter form while still retaining its important content. The most popular two paradigms are extractive approaches and abstractive approaches. Extractive approaches generate summaries by extracting parts of the original document (usually sentences), while abstractive methods may generate new words or phrases which are not in the original document.

Source: HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Papers

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Showing 351–400 of 760 papers

TitleStatusHype
Synthesizer: Rethinking Self-Attention in Transformer ModelsCode1
On Faithfulness and Factuality in Abstractive SummarizationCode1
A Summarization Dataset of Slovak News ArticlesCode0
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery—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
Exploring Explainable Selection to Control Abstractive SummarizationCode0
On Sparsifying Encoder Outputs in Sequence-to-Sequence ModelsCode0
Neural Abstractive Summarization with Structural Attention—0
Extractive Summarization as Text MatchingCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
A Divide-and-Conquer Approach to the Summarization of Long DocumentsCode1
Query Focused Multi-Document Summarization with Distant Supervision—0
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
Pre-training for Abstractive Document Summarization by Reinstating Source Text—0
Learning Syntactic and Dynamic Selective Encoding for Document Summarization—0
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization—0
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to MetadataCode1
StructSum: Summarization via Structured RepresentationsCode0
GameWikiSum: a Novel Large Multi-Document Summarization DatasetCode1
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization—0
Time-aware Large Kernel ConvolutionsCode1
Hybrid MemNet for Extractive Summarization—0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Subtopic-driven Multi-Document Summarization—0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization—0
Transformer-based Model for Single Documents Neural Summarization—0
Unsupervised Aspect-Based Multi-Document Abstractive Summarization—0
Attention Optimization for Abstractive Document Summarization—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document InputsCode0
Abstractive Dialog Summarization with Semantic ScaffoldsCode0
Generating Abstractive Summaries with Finetuned Language Models—0
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization—0
On Extractive and Abstractive Neural Document Summarization with Transformer Language ModelsCode0
Features in Extractive Supervised Single-document Summarization: Case of Persian NewsCode0
An Entity-Driven Framework for Abstractive Summarization—0
Mixture Content Selection for Diverse Sequence GenerationCode0
The CL-SciSumm Shared Task 2018: Results and Key InsightsCode0
Discourse-Aware Hierarchical Attention Network for Extractive Single-Document Summarization—0
Text Summarization with Pretrained EncodersCode1
Generating an Overview Report over Many Documents—0
Learning towards Abstractive Timeline SummarizationCode0
Abstractive Document Summarization without Parallel DataCode0
Visual Interaction with Deep Learning Models through Collaborative Semantic InferenceCode0
Overview and Results: CL-SciSumm Shared Task 2019Code0
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural NetworksCode0
Joint Lifelong Topic Model and Manifold Ranking for Document Summarization—0
Single-Document Summarization Using Sentence Embeddings and K-Means Clustering—0
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All datasetsCNN / Daily MailHowSumm-StepHowSumm-MethodArxiv HEP-TH citation grapharXiv Summarization DatasetBBC XSumWikiLingua (tr->en)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HAT-BARTROUGE-144.48—Unverified
2MatchSum (RoBERTa-base)ROUGE-144.41—Unverified
3Hie-BARTROUGE-144.35—Unverified
4MatchSum (BERT-base)ROUGE-144.22—Unverified
5BertSumExtROUGE-143.85—Unverified
6BigBird-PegasusROUGE-143.84—Unverified
7T5-11BROUGE-143.52—Unverified
8BERTSUM+TransformerROUGE-143.25—Unverified
9UniLM (Abstractive Summarization)ROUGE-143.08—Unverified
10Selector+Pointer GeneratorROUGE-141.72—Unverified
#ModelMetricClaimedVerifiedStatus
1LexRank (query: step title)ROUGE-139.6—Unverified
2CES (query: step title)ROUGE-139.3—Unverified
3CES (query: step + method titles)ROUGE-138.3—Unverified
4LexRank (query: step + method titles)ROUGE-138.2—Unverified
5CES (query: step + method + article titles)ROUGE-137—Unverified
6LexRank (query: step + method + article titles)ROUGE-136.3—Unverified
7GreedyRel (query: step + method titles)ROUGE-130.3—Unverified
8GreedyRel (query: step title)ROUGE-130.1—Unverified
9BM25-HierSumm (query: step + method titles)ROUGE-123—Unverified
10BM25-HierSumm (query: step title)ROUGE-122.3—Unverified
#ModelMetricClaimedVerifiedStatus
1LexRank (query: method + article + steps titles)ROUGE-153.5—Unverified
2CES (query: method + article + steps titles)ROUGE-152.2—Unverified
3GreedyRel (query: method + article + steps titles)ROUGE-148.6—Unverified
4CES (query: method title)ROUGE-148.4—Unverified
5CES (query: method + article titles)ROUGE-148.3—Unverified
6LexRank (query: method title)ROUGE-147.7—Unverified
7LexRank (query: method + article titles)ROUGE-147.1—Unverified
8GreedyRel (query: method title)ROUGE-143.4—Unverified
9GreedyRel (query: method + article titles)ROUGE-142.3—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepPyramidionROUGE-147.15—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepPyramidionRouge-219.99—Unverified
#ModelMetricClaimedVerifiedStatus
1BigBird-PegasusROUGE-147.12—Unverified
#ModelMetricClaimedVerifiedStatus
1DOCmT5Rouge-L31.37—Unverified