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
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
An Eye-tracking Study of Named Entity Annotation—0
Identifying Semantic Edit Intentions from Revisions in Wikipedia—0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
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