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 81–90 of 149 papers

TitleStatusHype
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
Improving sentence compression by learning to predict gaze—0
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models—0
Japanese Sentence Compression with a Large Training Dataset—0
Joint Decoding of Tree Transduction Models for Sentence Compression—0
Language as a Latent Variable: Discrete Generative Models for Sentence Compression—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model—0
Learning to Summarise Related Sentences—0
Leveraging Information Bottleneck for Scientific Document Summarization—0
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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