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
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
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B—0
Target-Aware Language Modeling via Granular Data Sampling—0
Text Simplification as Tree Labeling—0
Text Summarization as Tree Transduction by Top-Down TreeLSTM—0
The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank—0
Tiny Transformers Excel at Sentence Compression—0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Towards Annotating and Creating Sub-Sentence Summary Highlights—0
Towards Annotating and Creating Summary Highlights at Sub-sentence Level—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Unsupervised Rewriter for Multi-Sentence Compression—0
Unsupervised Sentence Enhancement for Automatic Summarization—0
User Edits Classification Using Document Revision Histories—0
Using Relevant Public Posts to Enhance News Article Summarization—0
Using Tweets to Help Sentence Compression for News Highlights Generation—0
Utilizing Microblogs for Automatic News Highlights Extraction—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—0
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
Acquisition of Syntactic Simplification Rules for French—0
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Adversarial Neural Networks for Cross-lingual Sequence Tagging—0
A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization—0
A Language Model based Evaluator for Sentence Compression—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—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
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
An Eye-tracking Study of Named Entity Annotation—0
Annotating and Predicting Non-Restrictive Noun Phrase Modifications—0
An Operation Network for Abstractive Sentence Compression—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
Approximation Strategies for Multi-Structure Sentence Compression—0
A Proposition-Based Abstractive Summariser—0
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization—0
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression—0
A Token-wise CNN-based Method for Sentence Compression—0
A Two-step Approach to Sentence Compression of Spoken Utterances—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