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 51–60 of 149 papers

TitleStatusHype
Fast k-best Sentence Compression—0
Flexible Japanese Sentence Compression by Relaxing Unit Constraints—0
Framework of Automatic Text Summarization Using Reinforcement Learning—0
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences—0
Fully Abstractive Approach to Guided Summarization—0
Generalizing Image Captions for Image-Text Parallel Corpus—0
Generating Elliptic Coordination—0
Generating Syntactic Paraphrases—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—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