论文信息 - TUTA1 at the NTCIR-11 Temporalia Task

TUTA1 at the NTCIR-11 Temporalia Task

This paper details our participation in the NTCIR-11 Temporalia task including Temporal Query Intent Classication (TQIC) and Temporal Information Retrieval (TIR). In the TQIC subtask, we explore the rich temporal information in the labeled and unlabeled search queries. Semi-supervised and supervised linear classiers are learned to predict the temporal classes for each search query. In the TIR subtask, we perform temporal ranking based on the technique of learning-to-rank. Two classes of features are investigated for estimating the document relevance.

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