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
Human acceptability judgements for extractive sentence compression—0
Identification and Characterization of Newsworthy Verbs in World News—0
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming—0
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs—0
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
Approximation Strategies for Multi-Structure Sentence Compression—0
Cross-Register Projection for Headline Part of Speech Tagging—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
A Language Model based Evaluator for Sentence Compression—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