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 125 of 149 papers

TitleStatusHype
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement LearningCode1
Non-Autoregressive Text Generation with Pre-trained Language ModelsCode1
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV ConversionCode1
Syntactically Look-Ahead Attention Network for Sentence CompressionCode1
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
Sentence Simplification with Deep Reinforcement LearningCode0
Sentence Compression for Arbitrary Languages via Multilingual PivotingCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Unsupervised Semantic Abstractive SummarizationCode0
Unsupervised Sentence Compression using Denoising Auto-EncodersCode0
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
Improving Factual Consistency in Summarization with Compression-Based Post-EditingCode0
Keyphrase Extraction for N-best Reranking in Multi-Sentence CompressionCode0
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
An Operation Network for Abstractive Sentence Compression0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications0
Adversarial Neural Networks for Cross-lingual Sequence Tagging0
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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