New York University 2012 System for KBP Slot Filling
Bonan Min, Xiang Li, Ralph Grishman, Ang Sun · 2012
This paper describes the New York University 2012 system for the KBP regular slot filling (SF) task. The NYU 2012 SF system has a similar architecture to the NYU 2011 system. We improved our distant-supervision based slot-filling component with a few techniques including filtering errors by statistical measures collected from the source corpus, and relabeling erroneous training examples with a set of maximum entropy models and by applying bootstrapped/hand-coded patterns. We also augmented our query expansion procedure. After the formal evaluation we experimented with models for estimating slot confidence. We report on the impact of these changes.