NTCIR-12: Temporal Intent Disambiguation Subtask: Naive Bayesian Classifier to Predict Temporal Classes

The Holab team from Japan Advanced Institute of Science and Technology (JAIST) participated in NTCIR-12 Temporal Intent Disambiguation (TID) subtask. Objective of this task is to predict temporal classes of a query which is extended from NTCIR-11 Temporal Intent Query Classification (TIQC) subtask [6] , [7]. We exploited most famous and well-defined Naive-Bayes classifier to accomplish our objective. In TID subtask, firstly, we generated different level of features from given query, later we used classifier to calculate the distribution and classify the temporal classes. In this report, we discussed about varies features, that have been used to estimate the probability distribution of four temporal intent classes (atemporal, past, recent, or future) under the temporal intent disambiguation subtask. Also we discussed about experimental results and comparative analysis with other systems submitted by different participants.