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This paper presents a method named SoSVMRank, which integrates the social information of a Web document to generate a high-quality summarization. In order to do that, the summarization was formulated as a learning to rank task, in which the order of a sentence or comment was determined by its informative information. The informative information was measured by a set of local and social features in...
Multimodal recognition has recently become more attractive and common method in multimedia information retrieval. In many cases it shows better recognition results than using only unimodal methods. Most of current multimodal recognition methods still depend on unimodal recognition results. Therefore, in order to get better recognition performance, it is important to choose suitable features and classification...
Attributes are semantic visual properties shared by objects. They have been shown to improve object recognition and to enhance content-based image search. While attributes are expected to cover multiple categories, e.g. a dalmatian and a whale can both have "smooth skin", we find that the appearance of a single attribute varies quite a bit across categories. Thus, an attribute model learned...
The topic information of conversational content is important for continuation with communication, so topic detection and tracking is one of important research. Due to there are many topic transform occurring frequently in long time communication, and the conversation maybe have many topics, so it's important to detect different topics in conversational content. This paper detects topic information...
Existing web-services description is limited to the interface's type, parameters, and operation's definition and description, it is insufficient to describe the data-services in big data. Relative to the web-services, data-services is more fundamental, What's more important is to describe the characteristics and semantic attribute of data source. In this paper, used Scalable OWL-S (Ontology Web Language...
Emotion is a primary semantic component of human communication. This study focuses on automatic emotion detection in descriptive sentences and how this can be used to tune facial expression parameters for virtual character generation. Therefore, we present a classification based sentiment analysis approach to mapping a sentiment sentence into an emotional state. Each sentence is represented as a feature...
In this paper, we propose a framework to infer different people's activity from the view of both the geographical habit and temporal habit of user. Such a personal activity inference framework is a crucial prerequisite for intelligent user experience, and power management of smart phones. By analyzing the real activity log data, we extract 3 kinds of features: 1)The geographical feature captures the...
In the medical field, a lot of unstructured information which is expressed by natural language exists in medical literature, technical documentation and medical records. IE (Information Extraction) as one of the most important research directions in natural language process aims to help humans extract concerned information automatically. NER (Named Entity Recognition) is one of the subsystems of IE...
The increasing number and resolution of earth observation (EO) imaging sensors has had a significant impact on both the acquired image data volume and the information content in images. There is consequently a strong need for highly efficient search tools for EO image databases and for search methods to automatically identify and recognize structures within EO images. In this paper, we present a concept...
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