Abstract. Textual data still remains the main format for storing infor- mation, justifying why text processing is among the most relevant topics.
This paper shows the potentiality and the benevolence of a straightforward text representation, referred to as the Bit-Layers text representation, ...
Jun 9, 2009 · The closest contenders that I could find so far are yEnc (2%) and ASCII85 (25% overhead). There seem to be some issues around yEnc mainly around ...
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Aug 23, 2021 · It is the process of converting natural language texts into numeric values that computers can understand. This is especially critical in deep learning.
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[56]. Bit-Layers Text Encoding for Efficient Text Processing. SOFSEM (Doctoral Student Research Forum) pp.13-24. By Domenico Cantone, Simone Faro and Stefano ...
Domenico Cantone, Simone Faro, Stefano Scafiti: Bit-Layers Text Encoding for Efficient Text Processing. SOFSEM (Doctoral Student Research Forum) 2020: 13-24.
Feb 22, 2024 · Byte pair will give you a larger vocabulary but shorter token sequences, while something more fine-grained like character level tokenizers will have a small ...
Oct 23, 2017 · Fortunately, ϕText documents are composed of a single efficient binary layer. All of the encoding and decoding are done in a codec module ...
This paper proposes a new coding method that increases significantly the signal-to-watermark ratio in document watermarking algorithms.
Dec 9, 2019 · In this post, I will discuss the various ways of encoding text(feature extraction) with deep learning which can be used for the downstream tasks.