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 101–149 of 149 papers

TitleStatusHype
Event-Driven Headline Generation—0
Using Tweets to Help Sentence Compression for News Highlights Generation—0
Sentence Compression For Automatic Subtitling—0
Looking hard: Eye tracking for detecting grammaticality of automatically compressed sentences—0
Identification and Characterization of Newsworthy Verbs in World News—0
A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization—0
Joint Decoding of Tree Transduction Models for Sentence Compression—0
Recursive Deep Models for Discourse Parsing—0
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees—0
Unsupervised Sentence Enhancement for Automatic Summarization—0
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model—0
Utilizing Microblogs for Automatic News Highlights Extraction—0
Learning to Summarise Related Sentences—0
Lexico-syntactic text simplification and compression with typed dependencies—0
Sentence Compression for Target-Polarity Word Collocation Extraction—0
Domain-Specific Image Captioning—0
Approximation Strategies for Multi-Structure Sentence Compression—0
Single Document Summarization based on Nested Tree Structure—0
Polynomial Time Joint Structural Inference for Sentence Compression—0
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank—0
LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
PARADIGM: Paraphrase Diagnostics through Grammar Matching—0
Sentence Compression as Tree Transduction—0
Supervised Sentence Fusion with Single-Stage Inference—0
Document Summarization via Guided Sentence Compression—0
Overcoming the Lack of Parallel Data in Sentence Compression—0
Generating Elliptic Coordination—0
Sentence Compression with Joint Structural Inference—0
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
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
Framework of Automatic Text Summarization Using Reinforcement Learning—0
Monolingual Distributional Similarity for Text-to-Text Generation—0
Fully Abstractive Approach to Guided Summarization—0
Sentence Compression with Semantic Role Constraints—0
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing—0
A Two-step Approach to Sentence Compression of Spoken Utterances—0
Acquisition of Syntactic Simplification Rules for French—0
User Edits Classification Using Document Revision Histories—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