HITSZ-ICRC at NTCIR-11 Temporalia Task
Yongshuai Hou, Cong Tan, Jun Xu, Youcheng Pan, Qingcai Chen, Xiaolong Wang · 2014
Temporal Information Access (Temporalia) task is a pilot task at NTCIR-11 for the first year. HITSZ-ICRC group participated in Temporalia task, worked in both Temporal Query Intent Classification (TQIC) subtask and Temporal Information Retrieval (TIR) subtask. In TQIC subtask, firstly, we extracted different linguistic level features from user query, extracted expanding features for the query by downloading search results from search engine Bing; then we designed rule based method and multi-classifier voting method to classify user query intent separately; in formal run step, we combined the classification results produced by rule based method and multi-classifier voting method as final classification result to submit. In TIR subtask, firstly, we built an index for documents in the aim corpus using Lucene tool kit; secondly we calculated the content relevant score using BM25 model and the temporal relevant score based on the date distance between the query date and time expression tagged in document content; thirdly, we developed two rank methods, relevant score weight sum method and learning to rank method, to calculate the final relevant score for each document and rank relevant documents based on the final score; the subtopic classification method we used in TIR subtask is same as in TOIC subtask. Keywords query intent classification, temporal information retrieval, learning to rank, text classification, multi-classifiers voting