Duplicate Question Detection With Deep Learning in Stack Overflow
نویسندگان
چکیده
منابع مشابه
Duplicate Question Pair Detection with Deep Learning
Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques such as shingling have been found to have limited success in separating related question from duplicate questions. Using a dataset of 400,000 labeled question pairs provided by question-and-answer forum Q...
متن کاملMelanoma detection with a deep learning model
Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions. Methods: In this analytic s...
متن کاملStaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical for many tasks including code retrieval and annotation. In most existing research, question-code pairs were collected heuristically and tend to have low quality. In this paper, we investigate a new problem of systematically mining question-code pairs...
متن کاملStack Overflow Query Outcome Prediction
Stack Overflow’s core mission is to create an online encyclopedia for all programming knowledge. In order to ensure quality content in the face of rapid growth, community moderators frequently close low quality questions, often asked by newcomers. In order to alleviate moderator burden and ease newcomers’ transition, we devise two classifiers to predict 1) whether a question will be closed and ...
متن کاملConcept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2968391