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 126–149 of 149 papers

TitleStatusHype
Sentence Compression with Semantic Role Constraints—0
Single Document Summarization based on Nested Tree Structure—0
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
Subtree Extractive Summarization via Submodular Maximization—0
SumeCzech: Large Czech News-Based Summarization Dataset—0
Supervised Sentence Fusion with Single-Stage Inference—0
Evaluation Discrepancy Discovery: A Sentence Compression Case-studyCode0
Improving Factual Consistency in Summarization with Compression-Based Post-EditingCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Unsupervised Sentence Compression using Denoising Auto-EncodersCode0
Unsupervised Semantic Abstractive SummarizationCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Sentence Simplification with Deep Reinforcement LearningCode0
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)F10.86—Unverified
2BiRNN + LM EvaluatorF10.85—Unverified
3Higher-Order Syntactic Attention NetworkF10.84—Unverified
4LSTMF10.82—Unverified
5LSTMs + eye-movementF10.81—Unverified
6BiLSTMF10.8—Unverified