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 131–140 of 149 papers

TitleStatusHype
Generalizing Image Captions for Image-Text Parallel Corpus—0
Subtree Extractive Summarization via Submodular Maximization—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Keyphrase Extraction for N-best Reranking in Multi-Sentence CompressionCode0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
Flexible Japanese Sentence Compression by Relaxing Unit Constraints—0
On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization—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