A hybrid model integrating RoBERTa, TF-IDF, and attention mechanism for medical query intent classification
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DOI: 10.1038/s41598-025-25783-x
Abstract: In medical retrieval scenarios, accurate identification of user query intent is pivotal for enhancing retrieval relevance and knowledge augmentation effectiveness. However, existing approaches exhibit polarized performance: traditional shallow models (e.g., TF-IDF, Bag-of-Words) struggle to capture… read more here.
Keywords: intent; model integrating; attention; hybrid model ... See more keywords
Query Intent Recognition Based on Multi-Class Features
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DOI: 10.1109/access.2018.2869585
Abstract: In order to enhance the user search experience of the search engine, an intent recognition search based on natural language input is proposed. By using reality mining technology to obtain the potential consciousness information from… read more here.
Keywords: query intent; intent recognition; based multi; search ... See more keywords