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 21–30 of 149 papers

TitleStatusHype
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression—0
A Token-wise CNN-based Method for Sentence Compression—0
A Two-step Approach to Sentence Compression of Spoken Utterances—0
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization—0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
Automatic Speech Summarisation: A Scoping Review—0
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing—0
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
Show:102550
← PrevPage 3 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