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

Showing 51–75 of 149 papers

TitleStatusHype
Adversarial Neural Networks for Cross-lingual Sequence Tagging—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
An Operation Network for Abstractive Sentence Compression—0
Unsupervised Semantic Abstractive SummarizationCode0
A Language Model based Evaluator for Sentence Compression—0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
Higher-Order Syntactic Attention Network for Longer Sentence Compression—0
Deep Learning Approaches to Text Production—0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
SumeCzech: Large Czech News-Based Summarization Dataset—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
An Eye-tracking Study of Named Entity Annotation—0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Identifying Semantic Edit Intentions from Revisions in Wikipedia—0
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B—0
Self-organized Hierarchical Softmax—0
Japanese Sentence Compression with a Large Training Dataset—0
Oracle Summaries of Compressive Summarization—0
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora—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