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 41–50 of 149 papers

TitleStatusHype
Document Summarization via Guided Sentence Compression—0
Domain-Specific Image Captioning—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Acquisition of Syntactic Simplification Rules for French—0
Etat de l’art en compression multi-phrases pour la synthèse de documents (State-of-the-art of multi-sentence compression for document summarization)—0
A Token-wise CNN-based Method for Sentence Compression—0
Event-Driven Headline Generation—0
A Two-step Approach to Sentence Compression of Spoken Utterances—0
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—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