MPI-INF at the NTCIR-11 Temporal Query Classification Task

MPI-INF participated in the Temporal Query Intent Clas-sification Task (TQIC) of the Temporalia track at NTCIR-11. This paper describes our approach to address this spe-cific task. Our overall strategy has been to rely on es-tablished off-the-shelf components (e.g., standard classifiers from Weka and natural language processing methods from Stanford CoreNLP) and focus on feature engineering. De-vised features include surface (e.g., n-grams), linguistic (e.g., capturing whether the query is a question), and temporal (e.g., statistics about publication dates and temporal ex-pressions). We provide details on their precise definition and report on their effectiveness