Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection

This research introduces an innovative approach for identifying duplicate questions within the Stack Overflow community, a challenging task in NLP. Leveraging deep learning techniques, our proposed methodology combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to...

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Bibliografische gegevens

Hoofdauteurs:	Muhammad Faseeh, Murad Ali Khan, Naeem Iqbal, Faiza Qayyum, Asif Mehmood, Jungsuk Kim
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2024-01-01
Reeks:	IEEE Access
Onderwerpen:	Duplicate question identification stack overflow deep learning (DL) word embeddings natural language processing (NLP) question-and-answer (QA) platforms
Online toegang:	https://ieeexplore.ieee.org/document/10414059/
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