Adversarial attacks on text classification models using layerâwise relevance propagation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22260
Abstract: Due to the nested nonlinear structure inside neural networks, most existing deep learning models are treated as black boxes, and they are highly vulnerable to adversarial attacks. On the one hand, adversarial examples shed light… read more here.
Keywords: layer wise; text classification; adversarial attacks; classification models ... See more keywords
Uncertainty quantification for multilabel text classification
Sign Up to like & getrecommendations! Published in 2020 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1384
Abstract: Deep neural networks have recently achieved impressive performance on multilabel text classification. However, the uncertainty in multilabel text classification tasks and their application in the model are often overlooked. To better understand and evaluate the… read more here.
Keywords: text classification; classification; uncertainty; multilabel text ... See more keywords
Term weighting scheme for short-text classification: Twitter corpuses
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3298-8
Abstract: Term weighting is a well-known preprocessing step in text classification that assigns appropriate weights to each term in all documents to enhance the performance of text classification. Most methods proposed in the literature use traditional… read more here.
Keywords: text classification; short text; term weighting; term ... See more keywords
Utility-based feature selection for text classification
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DOI: 10.1007/s10115-018-1281-z
Abstract: Feature selection is a significant step before a classification task used to reduce excessive computational costs and enhance classification performance. This paper illustrates a novel feature selection method based on the concept of utility that… read more here.
Keywords: utility; text classification; feature; feature selection ... See more keywords
Finding decision jumps in text classification
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DOI: 10.1016/j.neucom.2019.08.082
Abstract: Abstract Text classification is one of the key problems in natural language processing (NLP), and in early years, it was usually accomplished by feature-based machine learning models. Recently, the deep neural network has become a powerful… read more here.
Keywords: decision; text classification; classification; decision jumps ... See more keywords
Knowledge attention sandwich neural network for text classification
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DOI: 10.1016/j.neucom.2020.03.093
Abstract: Abstract Text Classification is a fundamental and crucial issue in many Natural Language Processing (NLP) tasks. An effective and efficient representation model is the key to text classification. However, most existing representation models either learn… read more here.
Keywords: text classification; knowledge; attention; knowledge attention ... See more keywords
A text classification method based on LSTM and graph attention network
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2128047
Abstract: Text classification is a popular research topic in the natural language processing. Recently solving text classification problems with graph neural network (GNN) has received increasing attention. However, current graph-based studies ignore the hidden information in… read more here.
Keywords: network; syntax; classification; model ... See more keywords
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocz150
Abstract: Abstract Objective This study focuses on the task of automatically assigning standardized (topical) subject headings to free-text sentences in clinical nursing notes. The underlying motivation is to support nurses when they document patient care by… read more here.
Keywords: text classification; classification; nursing; classification methods ... See more keywords
Text Classification Based on Conditional Reflection
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DOI: 10.1109/access.2019.2921976
Abstract: Text classification is an essential task in many natural language processing (NLP) applications; we know each sentence may have only a few words that play an important role in text classification, while other words have… read more here.
Keywords: text classification; classification based; based conditional; classification ... See more keywords
Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification
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DOI: 10.1109/access.2020.2987101
Abstract: Text classification is a fundamental task in natural language processing and is essential for many tasks like sentiment analysis and question classification etc. As we all know, different NLP tasks require different linguistic features. Tasks… read more here.
Keywords: text classification; layer attention; cross layer; stacked residual ... See more keywords
The Study on the Text Classification for Financial News Based on Partial Information
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DOI: 10.1109/access.2020.2997969
Abstract: The goal of this paper is to conduct the study on the text classification for financial news based on partial information. By a fact that an indispensable step for the efficient use of topic information… read more here.
Keywords: text classification; classification; study; financial news ... See more keywords