SLOQUE: Slot-based Query Expansion for complex questions

• Main Authors: SURYANTO, Maggy Anastasia, LIM, Ee Peng, SUN, Aixin, CHIANG, Roger Hsiang-Li
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1263; https://ink.library.smu.edu.sg/context/sis_research/article/2262/viewcontent/SLOQUE_slot_based_query_expansion_for_complex_ques.pdf
• Institution: Singapore Management University

Searching answers to complex questions is a challenging IR task. In this paper, we examine the use of query templates with semantic slots to formulate slot-based queries. These queries have query terms assigned to entity and relationship slots. We develop several query expansion methods for slot-based queries so as to improve their retrieval effectiveness on a document collection. Each method consists of a combination of term scoring scheme, term scoring formula, and term assignment scheme. Our preliminary experiments evaluate these different slot-based query expansion methods on a collection of news documents,and conclude that:(1) slot-based queries yield better retrieval accuracy compared to keyword-based queries in the complex question problems; and (2)directly applying traditional query expansion on the query terms of each slot does not always work well.