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This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple perspectives, the task of COM is to present the opinions of the individual perspectives on the topic, and furthermore to quantify their difference. This general problem subsumes(More)
This paper gives an overview of our work done for the TREC 2009 Entity track. We propose a hierarchical relevance retrieval model for entity ranking. In this model, three levels of relevance are examined which are document, passage and entity, respectively. The final ranking score is a linear combination of the relevance scores from the three levels.(More)
—Expressing knowledge by ontology is favorable for reuse and reasoning of knowledge. The structure of domain ontology for question answering system (QA) was formally defined, and the relations between ontology elements and semantic analysis of question and answer extraction were illustrated. The method of reusing Chinese ontology was proposed in the same(More)
To aim at the evaluation task of CLP2012 named entity recognition and disambigua-tion in Chinese, a Chinese name disam-biguation method based on adaptive clustering with the attribute features is proposed. Firstly, 12-dimensional character attribute features is defined, and tagged attribute feature corpus are used to train to obtain the recognition model of(More)
Personalized recommendation is implemented by computing the similarity of user's interests and resources. Most of current recommendation systems compute the similarity based on keywords, which is simply implemented but much semantic information are lost. This paper takes the personalized recommendations of digital library as example, proposes a method to(More)
Person re-identification aims to match the images of pedestrians across different camera views from different locations. This is a challenging intelligent video surveillance problem that remains an active area of research due to the need for performance improvement. Person re-identification involves two main steps: feature representation and metric(More)