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Apr 13, 2023 · This paper proposes a novel deep learning neural network, namely deep hierarchical semantic model (DHSM), for text matching.
Apr 13, 2023 · In recent years, some effective textual matching models are proposed for solving NLP-related tasks. However, these models have the following ...
Deep hierarchical encoding model for sentence semantic matching
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We propose a hierarchical encoding model (HEM) for sentence representation, further enhanced by a hierarchical matching mechanism for sentence interaction.
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Deep Hierarchical Semantic Model for Text Matching. https://doi.org/10.1007/978-3-031-30111-7_34 ·. Journal: Neural Information Processing Lecture Notes in ...
We propose a hierarchical encoding model (HEM) for sentence representation, further enhanced by a hierarchical matching mechanism for sentence interaction.
Specifically, each semantic processing layer consists of three parts: encoding part, interaction part and fusion part; and it can well represent the semantic ...
[PDF] Deep Hierarchical Semantic Segmentation - CVF Open Access
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(Hierarchy-Agnostic) Semantic Segmentation. Semantic segmentation is to partition an image into regions with dif- ferent semantic categories, which can be ...
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A series of new latent semantic models with a deep structure that project queries and documents into a common low-dimensional space where the relevance of a ...
To capture more semantic context features and interactions, we propose a hierarchical encoding model (HEM) for sentence representation, further enhanced by a ...
The experimental results demonstrate that the proposed approach outperforms many state-of-the-art models on sentence matching and is capable of gaining a ...