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 111–120 of 149 papers

TitleStatusHype
Target-Aware Language Modeling via Granular Data Sampling—0
Text Simplification as Tree Labeling—0
Text Summarization as Tree Transduction by Top-Down TreeLSTM—0
The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank—0
Tiny Transformers Excel at Sentence Compression—0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Towards Annotating and Creating Sub-Sentence Summary Highlights—0
Towards Annotating and Creating Summary Highlights at Sub-sentence Level—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Unsupervised Rewriter for Multi-Sentence Compression—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