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 1120 of 149 papers

TitleStatusHype
Explicit Sentence Compression for Neural Machine TranslationCode0
Sentence Simplification with Deep Reinforcement LearningCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Globally Normalized Transition-Based Neural NetworksCode0
A Novel Metric for Evaluating Semantics PreservationCode0
Evaluation Discrepancy Discovery: A Sentence Compression Case-studyCode0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
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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