Papers Code Classification
“Code Classification” 태그가 달린 논문 39편 · 필터 해제
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
We propose a novel method for code summarization utilizing Heterogeneous Code Representations (HCRs) and our specially designed HierarchyNet. HCRs effectively capture essential code features at lexical, syntactic, and se…
Clone DetectionCode ClassificationCode CompletionCode SummarizationTowards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora
Despite the recent trend of developing and applying neural source code models to software engineering tasks, the quality of such models is insufficient for real-world use. This is because there could be noise in the sour…
Code ClassificationRepresentation LearningData Quality Estimation Framework for Faster Tax Code Classification
This paper describes a novel framework to estimate the data quality of a collection of product descriptions to identify required relevant information for accurate product listing classification for tax-code assignment. O…
AttributeAttribute Value ExtractionClassificationCode Classification+1ICDBigBird: A Contextual Embedding Model for ICD Code Classification
The International Classification of Diseases (ICD) system is the international standard for classifying diseases and procedures during a healthcare encounter and is widely used for healthcare reporting and management pur…
ClassificationCode ClassificationDecision MakingManagementAccelerating Code Search with Deep Hashing and Code Classification
Code search is to search reusable code snippets from source code corpus based on natural languages queries. Deep learning-based methods of code search have shown promising results. However, previous methods focus on retr…
ClassificationCode ClassificationCode SearchDeep Hashing+1Learning Program Semantics with Code Representations: An Empirical Study
Program semantics learning is the core and fundamental for various code intelligent tasks e.g., vulnerability detection, clone detection. A considerable amount of existing works propose diverse approaches to learn the pr…
Clone DetectionCode ClassificationVulnerability DetectionSemantic Code Classification for Automated Machine Learning
A range of applications for automatic machine learning need the generation process to be controllable. In this work, we propose a way to control the output via a sequence of simple actions, that are called semantic code …
BIG-bench Machine LearningClassificationCode ClassificationEnergy-bounded Learning for Robust Models of Code
In programming, learning code representations has a variety of applications, including code classification, code search, comment generation, bug prediction, and so on. Various representations of code in terms of tokens, …
Code ClassificationCode SearchComment GenerationOut of Distribution (OOD) DetectionCode Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding
Automatic ICD coding is defined as assigning disease codes to electronic medical records (EMRs). Existing methods apply label attention with code representations to match related text snippets for coding. Unlike these wo…
Code ClassificationRepresentation LearningClassification of Goods Using Text Descriptions With Sentences Retrieval
The task of assigning and validating internationally accepted commodity code (HS code) to traded goods is one of the critical functions at the customs office. This decision is crucial to importers and exporters, as it de…
ClassificationCode ClassificationRetrievalCode2Snapshot: Using Code Snapshots for Learning Representations of Source Code
There are several approaches for encoding source code in the input vectors of neural models. These approaches attempt to include various syntactic and semantic features of input programs in their encoding. In this paper,…
Code ClassificationMethod name predictionCodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Over the last several decades, software has been woven into the fabric of every aspect of our society. As software development surges and code infrastructure of enterprise applications ages, it is now more critical than …
BIG-bench Machine LearningCode ClassificationCode TranslationDiversitySupervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
ICD coding is the international standard for capturing and reporting health conditions and diagnosis for revenue cycle management in healthcare. Manually assigning ICD codes is prone to human error due to the large code …
Code ClassificationGeneral ClassificationManagementToward Semi-Automatic Misconception Discovery Using Code Embeddings
Understanding students' misconceptions is important for effective teaching and assessment. However, discovering such misconceptions manually can be time-consuming and laborious. Automated misconception discovery can addr…
Code ClassificationMisconceptionsInferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Building deep learning models on source code has found many successful software engineering applications, such as code search, code comment generation, bug detection, code migration, and so on. Current learning technique…
Clone DetectionCode ClassificationCode Comment GenerationCode Search+5Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
The analysis of source code through machine learning techniques is an increasingly explored research topic aiming at increasing smartness in the software toolchain to exploit modern architectures in the best possible way…
BIG-bench Machine LearningCode ClassificationCPUGeneral Classification+1Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
Automatic source code analysis in key areas of software engineering, such as code security, can benefit from Machine Learning (ML). However, many standard ML approaches require a numeric representation of data and cannot…
Code ClassificationMethod name predictionSCC: Automatic Classification of Code Snippets
Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in …
ClassificationCode ClassificationGeneral ClassificationMachine Learning Based Source Code Classification Using Syntax Oriented Features
As of today the programming language of the vast majority of the published source code is manually specified or programmatically assigned based on the sole file extension. In this paper we show that the source code progr…
BIG-bench Machine LearningClassificationCode ClassificationGeneral Classification+1