Sentence Compression
22 papers with code • 1 benchmarks • 2 datasets
Sentence Compression is the task of reducing the length of text by removing non-essential content while preserving important facts and grammaticality.
Benchmarks
These leaderboards are used to track progress in Sentence Compression
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Sentence Compression
Google
Latest papers
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
We propose to use sentence-compression data to train the post-editing model to take a summary with extrinsic entity errors marked with special tokens and output a compressed, well-formed summary with those errors removed.
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
We advance the state-of-the-art in unsupervised abstractive dialogue summarization by utilizing multi-sentence compression graphs.
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
complementizer/rl-sentence-compression
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ACL 2022
Sentence compression reduces the length of text by removing non-essential content while preserving important facts and grammaticality.
A Novel Metric for Evaluating Semantics Preservation
Stareru/NeighboringDistributionDivergence
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ACL ARR October 2021
By exploiting the property of NDD, we implement a unsupervised and even training-free algorithm for extractive sentence compression.
Contextualized Semantic Distance between Highly Overlapped Texts
Stareru/NeighboringDistributionDivergence
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Overlapping frequently occurs in paired texts in natural language processing tasks like text editing and semantic similarity evaluation.
Non-Autoregressive Text Generation with Pre-trained Language Models
yxuansu/NAG-BERT
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EACL 2021
In this work, we show that BERT can be employed as the backbone of a NAG model to greatly improve performance.
Evaluation Discrepancy Discovery: A Sentence Compression Case-study
UKPLab/arxiv2021-evaluation-discrepancy-nsc
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Reliable evaluation protocols are of utmost importance for reproducible NLP research.
SCAR: Sentence Compression using Autoencoders for Reconstruction
The compressor masks the input, and the reconstructor tries to regenerate it.
Syntactically Look-Ahead Attention Network for Sentence Compression
kamigaito/SLAHAN
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Sentence compression is the task of compressing a long sentence into a short one by deleting redundant words.
Explicit Sentence Compression for Neural Machine Translation
bcmi220/esc4nmt
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In this paper, we propose an explicit sentence compression method to enhance the source sentence representation for NMT.
