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

Showing 141149 of 149 papers

TitleStatusHype
Keyphrase Extraction for N-best Reranking in Multi-Sentence CompressionCode0
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
Globally Normalized Transition-Based Neural NetworksCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Sentence Compression for Arbitrary Languages via Multilingual PivotingCode0
A Novel Metric for Evaluating Semantics PreservationCode0
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Benchmark Results

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