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

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Showing 121–130 of 149 papers

TitleStatusHype
Unsupervised Sentence Enhancement for Automatic Summarization—0
User Edits Classification Using Document Revision Histories—0
Using Relevant Public Posts to Enhance News Article Summarization—0
Using Tweets to Help Sentence Compression for News Highlights Generation—0
Utilizing Microblogs for Automatic News Highlights Extraction—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—0
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—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