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 91–100 of 149 papers

TitleStatusHype
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization—0
CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right—0
On Improving Informativity and Grammaticality for Multi-Sentence Compression—0
Improving sentence compression by learning to predict gaze—0
Globally Normalized Transition-Based Neural NetworksCode0
Fast k-best Sentence Compression—0
Sentence Compression by Deletion with LSTMs—0
Phrase-based Compressive Cross-Language Summarization—0
Abstractive Multi-document Summarization with Semantic Information Extraction—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