May 19, 2020 · Nowadays, many methods for estimation similarity between medical sentences extract semantic features mainly via Siamese network. However; these ...
A hybrid self-interactive attention model is proposed, which uses BERT as the embedding layer to carry out a preliminary pre-training of text and achieves ...
The prediction of textual semantic similarity can solve this problem. Estimation text similarity is one of the main tasks in Natural Language Processing. (NLP), ...
Most of the existing researches utilized the vector space model and some similarity computing methods to describe the relations of the posts. But they ignored ...
PDF | The determination of semantic similarity between sentences is an important component in natural language processing (NLP) tasks such as text.
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What is Siamese network for semantic similarity?
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May 18, 2020 · Analysis of Siamese networks with different mech- anisms shows that the ISA is helpful in enhancing semantic information on the sentence pair ...
Analysis of Siamese networks with different mechanisms shows that the ISA is helpful in enhancing semantic information on the sentence pair and results in ...
This paper adapts a siamese neural network architecture trained to measure the semantic similarity between two sentences through metric learning to help in ...
Mar 15, 2023 · In this paper, we present a semantic parsing model based on neural networks to obtain semantic representation of a given sentence.
Hybrid Self-Interactive Attentive Siamese Network for Medical Textual Semantic Similarity. ICMSS 2020: 52-56. [+][–]. 2010 – 2019. FAQ. see FAQ. What is the ...