Jun 11, 2019 · 1) We propose a novel two-stage framework for query intent classification based on hybrid deep neural network models and query representations.

Jan 1, 2019 · Our model adopts two state-of-the-art neural network models to comprehensively represent queries as feature vectors. We then employ query logs ...

A novel approach that is capable of automatically mining domain terminologies using search engine's query log—a type of domain-independent corpus of higher ...

Aiming at the problem that user query terms are vague and cannot be interpreted with certainty, a hybrid deep neural network model was proposed by Xu et al. [26] ...

Oct 22, 2024 · In this paper, we propose a hybrid deep neural network model for recognizing human actions in videos. A hybrid deep neural network model is ...

Nov 21, 2020 · This paper proposes a BERT-Cap hybrid neural network model with focal loss for user intent classification to capture user intents in dialogue.

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Oct 3, 2019 · Query Intent Classification helps the computer understand the user's specific intent when conducting a search.

Apr 30, 2023 · A hybrid deep neural network model for query intent classification. Query intents describe user information needs for searching on the web.

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