Operating system

Genus

Margin (machine learning)

Biology

Computer science

Botany

Management

Language model

Natural language processing

Information retrieval

Machine learning

Software

Economics

Synonym (taxonomy)

Deep learning

Redundancy (engineering)

Artificial intelligence

Programming language

Task (project management)

Convolutional neural network

Stack Overflow is often viewed as the most influential Software Question Answer (SQA) website with millions of programming-related questions and answers. Tags play a critical role in efficiently structuring the contents in Stack Overflow and are vital to support a range of site operations, e.g., querying relevant contents. Poorly selected tags often introduce extra noise and redundancy, which leads to tag synonym and tag explosion problems. Thus, an automated tag recommendation technique that can accurately recommend high-quality tags is desired to alleviate the problems mentioned above. Inspired by the recent success of pre-trained language models (PTMs) in natural language processing (NLP), we present PTM4Tag, a tag recommendation framework for Stack Overflow posts that utilize PTMs with a triplet architecture, which models the components of a post, i.e., Title, Description, and Code with independent language models. To the best of our knowledge, this is the first work that leverages PTMs in the tag recomme...

PTM4Tag