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 101–149 of 149 papers

TitleStatusHype
On Improving Informativity and Grammaticality for Multi-Sentence Compression—0
On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization—0
Oracle Summaries of Compressive Summarization—0
Overcoming the Lack of Parallel Data in Sentence Compression—0
PARADIGM: Paraphrase Diagnostics through Grammar Matching—0
Parallel Sentence Compression—0
Phrase-based Compressive Cross-Language Summarization—0
Phrase Generalization: a Corpus Study in Multi-Document Abstracts and Original News Alignments—0
Polynomial Time Joint Structural Inference for Sentence Compression—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
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
Sentence Compression by Deletion with LSTMs—0
Sentence Compression For Automatic Subtitling—0
Sentence Compression for Target-Polarity Word Collocation Extraction—0
Sentence Compression via DC Programming Approach—0
Sentence Compression with Joint Structural Inference—0
Sentence Compression with Semantic Role Constraints—0
Single Document Summarization based on Nested Tree Structure—0
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
Subtree Extractive Summarization via Submodular Maximization—0
SumeCzech: Large Czech News-Based Summarization Dataset—0
Supervised Sentence Fusion with Single-Stage Inference—0
Evaluation Discrepancy Discovery: A Sentence Compression Case-studyCode0
Improving Factual Consistency in Summarization with Compression-Based Post-EditingCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Unsupervised Sentence Compression using Denoising Auto-EncodersCode0
Unsupervised Semantic Abstractive SummarizationCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Sentence Simplification with Deep Reinforcement LearningCode0
Keyphrase Extraction for N-best Reranking in Multi-Sentence CompressionCode0
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
Globally Normalized Transition-Based Neural NetworksCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Sentence Compression for Arbitrary Languages via Multilingual PivotingCode0
A Novel Metric for Evaluating Semantics PreservationCode0
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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