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 31–40 of 149 papers

TitleStatusHype
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Explicit Sentence Compression for Neural Machine TranslationCode0
Query-focused Sentence Compression in Linear Time—0
Towards Annotating and Creating Summary Highlights at Sub-sentence Level—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
Towards Annotating and Creating Sub-Sentence Summary Highlights—0
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression—0
Unsupervised Rewriter for Multi-Sentence Compression—0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
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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