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 501–550 of 760 papers

TitleStatusHype
Learning to Score System Summaries for Better Content Selection Evaluation.—0
TL;DR: Mining Reddit to Learn Automatic Summarization—0
Unsupervised Event Clustering and Aggregation from Newswire and Web Articles—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Towards Automatic Construction of News Overview Articles by News Synthesis—0
Affinity-Preserving Random Walk for Multi-Document Summarization—0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Coarse-to-Fine Attention Models for Document Summarization—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks—0
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models—0
A Two-Stage Parsing Method for Text-Level Discourse AnalysisCode0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization—0
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback—0
Graph-based Neural Multi-Document Summarization—0
Extract with Order for Coherent Multi-Document Summarization—0
Scientific document summarization via citation contextualization and scientific discourse—0
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics—0
Neural Extractive Summarization with Side InformationCode0
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept MapsCode0
MultiLing 2017 Overview—0
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization—0
Centroid-based Text Summarization through Compositionality of Word EmbeddingsCode0
Automatic Argumentative-Zoning Using Word2vecCode0
Detecting (Un)Important Content for Single-Document News Summarization—0
Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining—0
Abstractive Headline Generation for Spoken Content by Attentive Recurrent Neural Networks with ASR Error Modeling—0
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization—0
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction ApproachCode0
Abstractive News Summarization based on Event Semantic Link Network—0
Revisiting the Evaluation for Cross Document Event Coreference—0
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model—0
Entity-Supported Summarization of Biomedical Abstracts—0
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm IntelligenceCode0
Exploring Text Links for Coherent Multi-Document Summarization—0
Neural Clinical Paraphrase Generation with Attention—0
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sourcesCode0
PKUSUMSUM : A Java Platform for Multilingual Document Summarization—0
Improving Multi-Document Summarization via Text Classification—0
Max-Sum Diversification, Monotone Submodular Functions and Dynamic Updates—0
Learning to Distill: The Essence Vector Modeling Framework—0
Classify or Select: Neural Architectures for Extractive Document Summarization—0
Discourse Parsing with Attention-based Hierarchical Neural Networks—0
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs—0
News Stream Summarization using Burst Information Networks—0
Distraction-Based Neural Networks for Document SummarizationCode0
Learning Determinantal Point Processes in Sublinear Time—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