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 21–30 of 149 papers

TitleStatusHype
Evaluation Discrepancy Discovery: A Sentence Compression Case-studyCode0
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
A Token-wise CNN-based Method for Sentence Compression—0
Automatic Speech Summarisation: A Scoping Review—0
SCAR: Sentence Compression using Autoencoders for ReconstructionCode0
Sentence Compression as Deletion with Contextual Embeddings—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
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—0
Machine Translation with Unsupervised Length-Constraints—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