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
Transformer Based Implementation for Automatic Book Summarization—0
Transformer-based Model for Single Documents Neural Summarization—0
TSix: A Human-involved-creation Dataset for Tweet Summarization—0
Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality—0
Two-Stage Movie Script Summarization: An Efficient Method For Low-Resource Long Document Summarization—0
UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model—0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Unsupervised Aspect-Based Multi-Document Abstractive Summarization—0
Unsupervised document summarization using pre-trained sentence embeddings and graph centrality—0
Unsupervised Event Clustering and Aggregation from Newswire and Web Articles—0
Unsupervised Multi-document Summarization with Holistic Inference—0
Unsupervised Multi-document Summarization for News Corpus with Key Synonyms and Contextual Embeddings—0
Unsupervised Summarization by Jointly Extracting Sentences and Keywords—0
Update Summarization Based on Co-Ranking with Constraints—0
Using a Keyness Metric for Single and Multi Document Summarisation—0
Using Argumentative Zones for Extractive Summarization of Scientific Articles—0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Using Discourse Information for Paraphrase Extraction—0
Using Document Summarization Techniques for Speech Data Subset Selection—0
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization—0
Using POMDPs for Topic-Focused Multi-Document Summarization (L'utilisation des POMDP pour les r\'esum\'es multi-documents orient\'es par une th\'ematique) [in French]—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
Using Statistical and Semantic Models for Multi-Document Summarization—0
Using Supervised Bigram-based ILP for Extractive Summarization—0
Using Tweets to Help Sentence Compression for News Highlights Generation—0
Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining—0
Utilizing Microblogs for Automatic News Highlights Extraction—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
Vector Space Models for Scientific Document Summarization—0
Vietnamese multi-document summary using subgraph selection approach -- VLSP 2022 AbMuSu Shared Task—0
View Dialogue in 2D: A Two-stream Model in Time-speaker Perspective for Dialogue Summarization and beyond—0
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization—0
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization—0
Zero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training—0
Zero-Shot Controlled Generation with Encoder-Decoder Transformers—0
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency—0
3M:Multi-document Summarization Considering Main and Minor Relationship—0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
Abstractive Headline Generation for Spoken Content by Attentive Recurrent Neural Networks with ASR Error Modeling—0
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization—0
Abstractive Multi-Document Summarization via Phrase Selection and Merging—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
Abstractive News Summarization based on Event Semantic Link Network—0
Abstractive Summarization of Large Document Collections Using GPT—0
Abstractive Text Summarization: State of the Art, Challenges, and Improvements—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
Abstract Meaning Representation for Multi-Document Summarization—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