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 81–90 of 149 papers

TitleStatusHype
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Neural Clinical Paraphrase Generation with Attention—0
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs—0
Language as a Latent Variable: Discrete Generative Models for Sentence Compression—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—0
Phrase Generalization: a Corpus Study in Multi-Document Abstracts and Original News Alignments—0
Text Simplification as Tree Labeling—0
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction—0
MUSEEC: A Multilingual Text Summarization Tool—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