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 61–70 of 149 papers

TitleStatusHype
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
SumeCzech: Large Czech News-Based Summarization Dataset—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
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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