Searching and reusing existing code from a large scale codebase can largely improve
developers' programming efficiency. To support code reuse, early code search models …

Recently, automating the detection and classification of tweets using machine learning
methods has been a tremendous help in crises. Word embeddings are the most effective …

Predicting software behavior is crucial for verifying software properties and ensuring system
reliability. Comprehending the behavior of complex software systems is particularly …

Multi-label text classification (MLTC) aims to assign the most appropriate label or labels to
each input text. Previous studies have focused on mining textual information, ignoring the …

The application of multi-label text classification in charge prediction aims at forecasting all
kinds of charges related to the content of judgment documents according to the actual …

Online petitions are an important means for citizens to express their concerns and to interact
with government entities. Due to the increase in the number of petitions, manually attributing …

Code search aims at searching semantically related code snippets from the large-scale
database based on a given natural descriptive query. Fine-tuning pre-trained models for …

In present days, Multi Label Text Classification (MLTC) has become an important research
area in Natural Language Processing (NLP). Existing models of MLTC have been facing …

Along with the popularity and development of the Internet in China, Chinese webpage
classification has become an important research topic. As the webpage text is a kind of text …

The unusually long feature sparsity and considerable ambiguity in the text make
classification jobs extremely difficult. Recent years have seen a significant increase in study …