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 1–50 of 149 papers

TitleStatusHype
Tiny Transformers Excel at Sentence Compression—0
Target-Aware Language Modeling via Granular Data Sampling—0
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models—0
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization—0
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences—0
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts—0
Improving Factual Consistency in Summarization with Compression-Based Post-EditingCode0
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression—0
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV ConversionCode1
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement LearningCode1
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
A Novel Metric for Evaluating Semantics PreservationCode0
Leveraging Information Bottleneck for Scientific Document Summarization—0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Cross-Register Projection for Headline Part of Speech Tagging—0
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy—0
Etat de l’art en compression multi-phrases pour la synthèse de documents (State-of-the-art of multi-sentence compression for document summarization)—0
Non-Autoregressive Text Generation with Pre-trained Language ModelsCode1
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms—0
Evaluation Discrepancy Discovery: A Sentence Compression Case-studyCode0
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
A Token-wise CNN-based Method for Sentence Compression—0
Automatic Speech Summarisation: A Scoping Review—0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
Sentence Compression as Deletion with Contextual Embeddings—0
Analyse de la r\'egulation de la longueur dans un syst\`eme neuronal de compression de phrase : une \'etude du mod\`ele LenInit (Investigating Length Regulation in a Sentence Compression Neural System : a Study on the LenInit Model)—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—0
Machine Translation with Unsupervised Length-Constraints—0
Syntactically Look-Ahead Attention Network for Sentence CompressionCode1
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
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
Towards Annotating and Creating Summary Highlights at Sub-sentence Level—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
Query-focused Sentence Compression in Linear Time—0
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Sentence Compression via DC Programming Approach—0
Human acceptability judgements for extractive sentence compression—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Sentence Compression for Arbitrary Languages via Multilingual PivotingCode0
Generating Syntactic Paraphrases—0
SALSA-TEXT : self attentive latent space based adversarial text generation—0
Text Summarization as Tree Transduction by Top-Down TreeLSTM—0
Unsupervised Sentence Compression using Denoising Auto-EncodersCode0
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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