Text Compression
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Text Compression
Most implemented papers
Syntactically Informed Text Compression with Recurrent Neural Networks
We present a self-contained system for constructing natural language models for use in text compression.
Authorship Verification based on Compression-Models
Instead, the only three key components of our method are a compressing algorithm, a dissimilarity measure and a threshold, needed to accept or reject the authorship of the questioned document.
A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models
Training large vocabulary Neural Network Language Models (NNLMs) is a difficult task due to the explicit requirement of the output layer normalization, which typically involves the evaluation of the full softmax function over the complete vocabulary.
Data-efficient Neural Text Compression with Interactive Learning
UKPLab/NAACL2019-interactiveCompression
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NAACL 2019
Neural sequence-to-sequence models have been successfully applied to text 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.
