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 71–80 of 149 papers

TitleStatusHype
LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization—0
Machine Translation with Unsupervised Length-Constraints—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
Monolingual Distributional Similarity for Text-to-Text Generation—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
MUSEEC: A Multilingual Text Summarization Tool—0
Neural Clinical Paraphrase Generation with Attention—0
On Improving Informativity and Grammaticality for Multi-Sentence Compression—0
On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization—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