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

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Showing 41–50 of 149 papers

TitleStatusHype
Query-focused Sentence Compression in Linear Time—0
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Sentence Compression via DC Programming Approach—0
Human acceptability judgements for extractive sentence compression—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Sentence Compression for Arbitrary Languages via Multilingual PivotingCode0
Generating Syntactic Paraphrases—0
SALSA-TEXT : self attentive latent space based adversarial text generation—0
Text Summarization as Tree Transduction by Top-Down TreeLSTM—0
Unsupervised Sentence Compression using Denoising Auto-EncodersCode0
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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