今天进行第二期的code summarization的论文总结。 2019 IJCNN,Automatic Source Code summarization with extended Tree-LSTM 作者认为由于自然语言和代码的区别,现有的NMT不能直接用于code summarization任务。尽管有的工作考虑了代码的结构信息,即AST树,但是Tree-LSTM不能处理节点有任意数量有序子节点的AST(Tree-LSTM分为...
Aspects of the disclosure relate to generating a pseudo-code from a text summarization based on a convolutional neural network. A computing platform may receive, by a computing device, a first document comprising text in a natural language different from English. Subsequently, the computing platform...
Format of the source text file: For abstractive summarization, each line is a document. If you want to do extractive summarization, please insert [CLS] [SEP] as your sentence boundaries. There are example input files in the raw_data directory If you also have reference summaries aligned with...
Format of the source text file: For abstractive summarization, each line is a document. If you want to do extractive summarization, please insert [CLS] [SEP] as your sentence boundaries. There are example input files in the raw_data directory If you also have reference summaries aligned with...
Format of the source text file: Forabstractive summarization, each line is a document. If you want to doextractive summarization, please insert[CLS] [SEP]as your sentence boundaries. There are example input files in theraw_data directory ...
Text Summarization using AI Cognitive Language Service (Python v2 Function) This sample shows how to take text documents as a input via BlobTrigger, does Text Summarization processing using the AI Congnitive Language service, and then outputs to another text document using BlobOutput binding...
text-code(natural language code search, text-to-code generation) code-text(code summarization) text-text(documentation translation) Figure 1: A brief summary of CodeXGLUE is given below, including tasks, datasets, language, sizes in various states, baseline systems, and providers. Datas...
就下游任务而言,GraphCodeBERT文中主要完成了Natural Language Code Search、Clone Detection、Code Translation和Code Refinement这几个任务,它同样适用CodeXGLUE Benchmark中的其他任务,比如Code Summarization等。 GraphCodeBERT相较于前作CodeBERT解决了CodePTM只学习自然语义,而不学代码结构/语法的问题。但细心的读者或许能...
Sample Section: a sample of the inputs to be provided The prompt: in this sample we send add a system message as the prompt with context and details about the format. We also add in a user message at the bottom of the file, which consists of the reported issue ...
Chart-to-text Introduced by Kantharaj et al. inChart-to-Text: A Large-Scale Benchmark for Chart Summarization Chart-to-textis a large-scale benchmark with two datasets and a total of 44,096 charts covering a wide range of topics and chart types....