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 31–40 of 149 papers

TitleStatusHype
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
An Eye-tracking Study of Named Entity Annotation—0
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization—0
A Two-step Approach to Sentence Compression of Spoken Utterances—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
A Token-wise CNN-based Method for Sentence Compression—0
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression—0
Analyse de la r\'egulation de la longueur dans un syst\`eme neuronal de compression de phrase : une \'etude du mod\`ele LenInit (Investigating Length Regulation in a Sentence Compression Neural System : a Study on the LenInit Model)—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