CUNY BLENDER TAC-KBP2011 Temporal Slot Filling System Description
Javier Artiles, Qi Li, Taylor Cassidy, Suzanne R Tamang, Heng Ji · 2011
In this paper we describe the participation of the CUNY-BLENDER team in the Temporal Slot Filling (TSF) pilot task organized as part of the TAC-KBP2010 evaluation. Our team submitted results for both the “diagnostic ” and “full ” TSF subtasks, obtaining the top score in the diagnostic subtask. We implemented a “structured ” and a “flat” approach to the classification of temporal ex-pressions. The structured approach captures long syntactic contexts surrounding the query entity, slot fill and temporal expression using a dependency path kernel tailored to this task. The flat approach exploits information such as the lexical context and shallow dependen-cy features. In order to provide enough training data for these classifiers we used a distant supervision approach to automatically generate a large amount of training instances from the We-b. This data was further refined by apply-ing logistic regression models for instance re-labeling and feature selection methods.