CNU System in NTCIR-11 IMine Task Global Semantic Expansion for Hierarchical Query Intent Identification
Wei Song, Xu Wenbin, Lizheng Liu, Hanshi Wang · 2014
Understanding user intent is important for interactive and personalized information retrieval. For ambiguous queries, user intent space actually forms a hierarchical top down ar-chitecture: from senses to subtopics, rather than a flat struc-ture. This paper presents the CNU system in NTCIR-11 IMine task. Our method constructs the hierarchical struc-ture by exploiting global semantic representation and expan-sion. The highlights include: 1) We use word semantic vec-tors and propose a query dependent semantic composition for representing query aspect phrases. Our target is to allevi-ate the term-mismatch and data sparseness problems, which shallow lexical matching and co-occurrence based local se-mantics are ineffective to overcome. 2) We expand query subtopics by introducing new words according to global se-mantic relatedness and cluster these words for query sense induction. The evaluation results on and post NTCIR-11 show that our method could mine query subtopics and senses effectively.