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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 149 papers

TitleStatusHype
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV ConversionCode1
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement LearningCode1
Non-Autoregressive Text Generation with Pre-trained Language ModelsCode1
Syntactically Look-Ahead Attention Network for Sentence CompressionCode1
Tiny Transformers Excel at Sentence Compression—0
Target-Aware Language Modeling via Granular Data Sampling—0
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models—0
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization—0
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences—0
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts—0
Show:102550
← PrevPage 1 of 15Next →

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