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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Muhammad Faseeh, Murad Ali Khan, Naeem Iqbal, Faiza Qayyum, Asif Mehmood, Jungsuk Kim
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Duplicate question identification stack overflow deep learning (DL) word embeddings natural language processing (NLP) question-and-answer (QA) platforms
Accesso online:	https://ieeexplore.ieee.org/document/10414059/
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!