The need for short-text classification arises in many text mining applications particularly health care applications. In such applications shorter texts ...
Cao et al. (2017) proposed a knowledge-guided short text classification system for healthcare applications, and claimed that text in the healthcare domain ...
The need for short-text classification arises in many text mining applications particularly health care applications. In such applications shorter texts mean ...
This work proposes an approach for medical text classification using heterogeneous Graph-based DEpendency MOdeling with Hierarchical ATtention (GDEMO-HAT), ...
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What is short text classification?
What is medical text classification NLP?
Short text classification, assigning predefined categories to texts, is an important basic task and it has a wide range of applications, including news title ...
This paper aims to conduct a comprehensive evaluation of modern text classification algorithms through empirical and experimental assessments.
Sep 24, 2021 · In this work, a medical text classification paradigm, using two novel deep learning architectures, is proposed to mitigate the human efforts.
Short text classification is one of important tasks in Natural Language Processing (NLP). Unlike paragraphs or documents, short texts are more ambiguous ...
Apr 16, 2020 · Zheng, I. Davidson, Knowledge guided short-text classification for healthcare applications, in: Proceedings of IEEE International Conference on ...
Comprehensive review of few-shot learning for medical text, comprising 51 articles. Systematic resource of research aims, datasets, evaluation metrics, and ...