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

Showing 111–120 of 149 papers

TitleStatusHype
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
Query-focused Sentence Compression in Linear Time—0
Query-focused Sentence Compression in Linear Time—0
Recursive Deep Models for Discourse Parsing—0
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy—0
SALSA-TEXT : self attentive latent space based adversarial text generation—0
Self-organized Hierarchical Softmax—0
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts—0
Sentence Compression as Deletion with Contextual Embeddings—0
Sentence Compression as Tree Transduction—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