Jingyi Guan

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This paper describes our participation in Knowledge Base Population track at TAC2010. In the entity-linking task, we combined machine learning-based methods and rule-based methods to improve the linking results. In the slot filling task, a supervised machine learning method based on CRF model and a rule pattern method were used to select proper answers for(More)
This paper presents the system adopted for the Faceted Blog Distillation task by PRIS team. The PRIS system is submitted by Pattern Recognition and Intelligent System Lab at Beijing University of Posts and Telecommunications. And a two-stage strategy is involved for this task. First, an adaptable Voting Model is carried out for blog distillation. Then,(More)
This paper describes BUPT (pris) participation in entity linking task and slot filling task. The system adopts a two-stage strategy in entity linking task and slot filling task. In the first stage, the system carries out a basic topic relevance retrieval to get top k documents for each query. In the second stage, cross-document coreference resolution is(More)
With the increasing of blog users, the traditional blog search can no longer meet their demands. More work should be done to accommodate the need of finding good blogs to read, besides the topicrelevant blogs. This paper focuses on the problem of an in-depth faceted blog distillation for addressing the quality aspect of the retrieval blogs. We propose a(More)
In this paper we discuss an approach for simulating the behaviour of interactive software systems, before starting on any of the actual implementation, based on a model of the system at the architectural level. By providing a mock-up of the final user interface for controlling the simulation, it is possible to carry out usability assessments of the system(More)
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