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Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
Outline, then details: Syntactically guided coarse-to-fine code generation
For a complicated algorithm, its implementation by a human programmer usually starts with
outlining a rough control flow followed by iterative enrichments, eventually yielding carefully …
outlining a rough control flow followed by iterative enrichments, eventually yielding carefully …
Natural software revisited
Recent works have concluded that software code is more repetitive and predictable, ie more
natural, than English texts. On re-examination, we find that much of the apparent" …
natural, than English texts. On re-examination, we find that much of the apparent" …
Labeling hacker exploits for proactive cyber threat intelligence: A deep transfer learning approach
With the rapid development of new technologies, vulnerabilities are at an all-time high.
Companies are investing in develo** Cyber Threat Intelligence (CTI) to counteract these …
Companies are investing in develo** Cyber Threat Intelligence (CTI) to counteract these …
Codebert-nt: code naturalness via codebert
Much of recent software-engineering research has investigated the naturalness of code, the
fact that code, in small code snippets, is repetitive and can be predicted using statistical …
fact that code, in small code snippets, is repetitive and can be predicted using statistical …
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models
This paper presents a comprehensive examination of the impact of tokenization strategies
and vocabulary sizes on the performance of Arabic language models in downstream natural …
and vocabulary sizes on the performance of Arabic language models in downstream natural …
Hoax detection system on Twitter using feed-Forward and back-propagation neural networks classification method
Social media is one of the ways to connect every individual in the world. It also used by
irresponsible people to spread a hoax. Hoax is false news that is made as if it is true. It may …
irresponsible people to spread a hoax. Hoax is false news that is made as if it is true. It may …
Are mutants really natural? a study on how" naturalness" helps mutant selection
Background: Code is repetitive and predictable in a way that is similar to the natural
language. This means that code is" natural" and this" naturalness" can be captured by …
language. This means that code is" natural" and this" naturalness" can be captured by …
[PDF][PDF] Enabling the continous analysis of security vulnerabilities with vuldata7
Studies on security vulnerabilities require the analysis, investigation and comprehension of
real vulnerable code instances. However, collecting and experimenting with a sufficient …
real vulnerable code instances. However, collecting and experimenting with a sufficient …
Exploring the Landscape of Programming Language Identification with Machine Learning Approaches
The increasing complexity of modern software development necessitates tools and
methodologies for code analysis, maintenance, and migration in multi-language Integrated …
methodologies for code analysis, maintenance, and migration in multi-language Integrated …