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Article
Traditional Chinese medicine entity relation extraction based on CNN with segment attention
Extracting medical entity relations from Traditional Chinese Medicine (TCM) related article is crucial to connect domain knowledge between TCM with modern medicine. Herb accounts for the majority of Traditiona...
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Chapter and Conference Paper
A Flexible Electrostatic Adsorption Suction Cup for Curved Surface
As an important electrical pipeline, the GIS (gas insulated metal-enclosed switchgear) pipeline is applied in many scenarios. However, it has a narrow internal place and non-magnetic wall, which makes existing...
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Article
Extracting Biomedical Entity Relations using Biological Interaction Knowledge
Discovering relations of cross-type biomedical entities is crucial for biology research. A large amount of potential or indirect connected biological relations is hidden in millions of biomedical literatures a...
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Article
Effects of β Air Cooling and Subsequent Cold Rolling on Microstructure and Hardness of Zr702 Sheet
In this work, a Zr702 sheet was subjected to β air cooling and then rolled to 15% reduction at room temperature, with their detailed microstructural characteristics characterized by electron channeling contras...
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Chapter and Conference Paper
Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information
The use of a convolutional neural network (CNN) for extracting deep acoustic features from spectrograms has become one of the most commonly used methods for speech emotion recognition. In those studies, howeve...
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Chapter and Conference Paper
Speech Emotion Recognition Considering Local Dynamic Features
Recently, increasing attention has been directed to the study of the speech emotion recognition, in which global acoustic features of an utterance are mostly used to eliminate the content differences. However,...
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Chapter and Conference Paper
Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition
Convolutional neural network (CNN) has demonstrated a great power at mining deep information from spectrogram for speech emotion recognition. However, perceptual features such as low-level descriptors (LLDs) a...
