Read between the lines -- Functionality Extraction From READMEs

arXiv:2403.10205v1 Announce Type: new
Abstract: While text summarization is a well-known NLP task, in this paper, we introduce a novel and useful variant of it called functionality extraction from Git README files. Though this task is a text2text generation at an abstract level, it involves its own peculiarities and challenges making existing text2text generation systems not very useful. The motivation behind this task stems from a recent surge in research and development activities around the use of large language models …

abstract arxiv challenges cs.ai cs.cl extraction files git making nlp novel paper readme summarization text text summarization type