BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track
نویسندگان
چکیده
This paper describes the system in Vital Filtering and Streaming Slot Filling task of TREC 2014 Knowledge Base Acceleration Track. In the Vital Filtering task, The PRIS system focuses attention on query expansion and similarity calculation. The system uses DBpedia as external source data to do query expansion and generates directional documents to calculate similarities with candidate worth citing documents. In the Streaming Slot Filling task, The BUPT_PRIS system utilizes a pattern learning method to do relation extraction and slot filling. Patterns of regular slots which mostly are same to TAC-KBP slots are learned from KBP Slot Filling corpus. Other slots are manually picked up some training seeds for those slot types that KBP didn’t contain to use bootstrapping method.
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