Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
Text categorization, or text classification, is one of key tasks for representing the semantic
information of documents. Multi-label text categorization is finer-grained approach to text …
information of documents. Multi-label text categorization is finer-grained approach to text …
Predicting semantically linkable knowledge in developer online forums via convolutional neural network
Consider a question and its answers in Stack Overflow as a knowledge unit. Knowledge
units often contain semantically relevant knowledge, and thus linkable for different purposes …
units often contain semantically relevant knowledge, and thus linkable for different purposes …
[HTML][HTML] GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
Exponential growth of biomedical literature and clinical data demands more robust yet
precise computational methodologies to extract useful insights from biomedical literature …
precise computational methodologies to extract useful insights from biomedical literature …
Effective transfer learning for identifying similar questions: matching user questions to COVID-19 FAQs
CH McCreery, N Katariya, A Kannan… - Proceedings of the 26th …, 2020 - dl.acm.org
People increasingly search online for answers to their medical questions but the rate at
which medical questions are asked online significantly exceeds the capacity of qualified …
which medical questions are asked online significantly exceeds the capacity of qualified …
Duplicate question detection with deep learning in stack overflow
L Wang, L Zhang, J Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
Stack Overflow is a popular Community-based Question Answer (CQA) website focused on
software programming and has attracted more and more users in recent years. However …
software programming and has attracted more and more users in recent years. However …
Detecting duplicate bug reports with convolutional neural networks
Bug tracking systems are widely used to track bugs from users during the lifecycle of
software systems for reliability maintenance. When software systems have a large user …
software systems for reliability maintenance. When software systems have a large user …
[PDF][PDF] A web-based skin disease diagnosis using convolutional neural networks
S Akyeramfo-Sam, AA Philip, D Yeboah… - … Journal of Information …, 2019 - researchgate.net
Skin diseases are reported to be the most common disease in humans among all age
groups and a significant root of infection in sub-Saharan Africa. The diagnosis of skin …
groups and a significant root of infection in sub-Saharan Africa. The diagnosis of skin …
Duplicate question detection in question answer website using convolutional neural network
DA Prabowo, GB Herwanto - 2019 5th International conference …, 2019 - ieeexplore.ieee.org
Online forums are platforms for gathering, sharing information, and discussing between
users on a particular topic. Users in online forums can ask questions about a topic, then …
users on a particular topic. Users in online forums can ask questions about a topic, then …
A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts
Paraphrase detection is an important task in text analytics with numerous applications such
as plagiarism detection, duplicate question identification, and enhanced customer support …
as plagiarism detection, duplicate question identification, and enhanced customer support …
Learning a dual-language vector space for domain-specific cross-lingual question retrieval
The lingual barrier limits the ability of millions of non-English speaking developers to make
effective use of the tremendous knowledge in Stack Overflow, which is archived in English …
effective use of the tremendous knowledge in Stack Overflow, which is archived in English …