Stock trend prediction plays a crucial role in quantitative investing. Given the prediction task
on a certain granularity (eg, daily trend), a large portion of existing studies merely leverage …

In text classification models based on deep learning, feature extraction and feature
aggregation are two key steps. As one of the basic feature extraction methods, CNN has …

Intention recognition is based on a dialog between users to identify their real intentions,
which plays a key role in the question answering system. However, the content of a dialog is …

Realistic speech-driven 3D facial animation is a challenging problem due to the complex
relationship between speech and face. In this paper, we propose a deep architecture, called …

Abstract Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) based
text classification algorithms currently in use can successfully extract local textual features …

Text classification is an important task in natural language processing. Contextual
information is essential for text classification, and different words usually need different sizes …

In natural language, the relationship among the constituents of a sentence is usually tree-
like: words, phrases, and clauses constitute a sentence hierarchically, and the dependency …

Magnetic resonance imaging (MRI) provides high spatial resolution and excellent soft-tissue
contrast without using harmful ionising radiation. Dynamic MRI is an essential tool for …

Text classification in the long-text domain has become a development challenge due to the
significant increase in text data, complexity enhancement, and feature extraction of long …

文本分类技术是自然语言处理领域的研究热点, 其主要应用于舆情检测, 新闻文本分类等领域.
近年来, 人工神经网络技术在自然语言处理的许多任务中有着很好的表现 …