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Humans react to animal emotions, and animals react to human emotions because we share similar emotional and neurological mirroring systems. Mirror neurons fire both when an animal performs an action and when the animal observes the same action performed ...
With the development of TCM information, computers replace the traditional writing of medical records. However, the typos in the ERMs influence their qualities that bring disturb to the information work such as TCM data mining. We discover the error of ...
With the development of big data, the amount of text data is growing bigger and bigger in which errors are also more and more. The traditional human-correction cannot meet the actual demand. It is a trend for automatic text proofing by using computer ...
The emergence of knowledge-based economies has emphasised the importance of interactive knowledge management technologies, which have manifested themselves in the form of social networking tools. Organization's ability to leverage and manage the ...
Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data. In spite of early assertions of the unreasonable effectiveness of data, there is increasing ...
Datasets for recommender systems are few and often inadequate for the contextualized nature of news recommendation. News recommender systems are both time- and location-dependent, make use of implicit signals, and often include both collaborative and ...
Ordinal regression has received increasing interest in the past years. It aims to classify patterns by an ordinal scale. With the the explosive growth of data, the method of SVM with ordinal partitioning called SVMOP highlights its advantages due to its ...
In recent years, nonparallel support vector machine (NPSVM) is proposed as a nonparallel hyperplane classifier with superior performance than standard SVM and existing nonparallel classifiers such as the twin support vector machine (TWSVM). With the ...
The performance of Deep Reinforcement Learning (DRL) algorithms is usually constrained by instability and variability. In this work, we present an extension of Deep Q-Network (DQN) called Deep Deformable Q-Network which is based on deformable ...
It is important to analyze the reputation or demands for a regional event, such as a school festival. In our work, we use sentiment polarity classification in order to coordinate regional event reputation. We proposed sentiment polarity classification ...
Ontology, the backbone of Semantic Web, is defined as the formal specification of conceptual hierarchy with relationships between concepts. Ontology Learning (OL) is a process to create an ontology from text automatically or semi-automatically. OL is an ...
This paper proposed a novel scheme for extracting character relation from unstructured text based on dependency grammar rules. First of all, we took the Three Kingdoms characters as our research object, then selected articles containing target ...
Automatic anaphora resolution is useful for many natural language process tasks, including automatic summarization, information extraction and machine translation. This paper took the novel Life as the original corpus, and then annotated the anaphora ...
With the rapid development of science and technology, every day there are a large number of data in various forms produced on the Internet. Domain vocabularies embody the core knowledge of a subject field, and they play important role in parsing, ...
Selecting 24 novels written by Mo Yan and Zhang Wei as corpus, This paper analyzed the stylistic features of Mo Yan and Zhang Wei's novels from the perspective of quantitative style. Features include the pauses in sentences, the relevance of context, ...
As the main revenue source of Internet companies, online advertising is always a significant topic, where click-through rate (CTR) prediction plays a central role. In online advertising systems, there are often many advertisement products. Due to the ...
The problem with distributed representations generated by neural networks is that the meaning of the features is difficult to understand. We propose a new method that gives a specific meaning to each node of a hidden layer by introducing a manually ...
In agent-based systems, an agent generally forms her belief based on evidence from multiple sources, such as messages from other agents or perception of the external environment. In this paper, we present a logic for reasoning about evidence and belief. ...
Techniques originating from the Internet of Things (IoT) and Cyber-Physical Systems (CPS) areas have extensively been applied to develop intelligent and pervasive systems such as assistive monitoring, feedback in telerehabilitation, energy management, ...
Diary-like content expressing authors personal experiences and sentiments over a variety of topics is generated every day and made available on the Internet. This rich content can be used for psychological analysis and knowledge discovery regarding ...