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 11–20 of 149 papers

TitleStatusHype
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 Language Model based Evaluator for Sentence Compression—0
Abstractive Multi-document Summarization with Semantic Information Extraction—0
A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization—0
Approximation Strategies for Multi-Structure Sentence Compression—0
A Proposition-Based Abstractive Summariser—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
Show:102550
← PrevPage 2 of 15Next →

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