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 101–110 of 149 papers

TitleStatusHype
Sentence Compression for Target-Polarity Word Collocation Extraction—0
Sentence Compression via DC Programming Approach—0
Sentence Compression with Joint Structural Inference—0
Sentence Compression with Semantic Role Constraints—0
Single Document Summarization based on Nested Tree Structure—0
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
Subtree Extractive Summarization via Submodular Maximization—0
SumeCzech: Large Czech News-Based Summarization Dataset—0
Supervised Sentence Fusion with Single-Stage Inference—0
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B—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