SOTAVerified

Sentence Compression

Sentence Compression is the task of reducing the length of text by removing non-essential content while preserving important facts and grammaticality.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 111–120 of 149 papers

TitleStatusHype
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model—0
Utilizing Microblogs for Automatic News Highlights Extraction—0
Learning to Summarise Related Sentences—0
Lexico-syntactic text simplification and compression with typed dependencies—0
Sentence Compression for Target-Polarity Word Collocation Extraction—0
Domain-Specific Image Captioning—0
Approximation Strategies for Multi-Structure Sentence Compression—0
Single Document Summarization based on Nested Tree Structure—0
Polynomial Time Joint Structural Inference for Sentence Compression—0
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SLAHAN (LSTM+syntactic-information)F10.86—Unverified
2BiRNN + LM EvaluatorF10.85—Unverified
3Higher-Order Syntactic Attention NetworkF10.84—Unverified
4LSTMF10.82—Unverified
5LSTMs + eye-movementF10.81—Unverified
6BiLSTMF10.8—Unverified