Finding 'Lucy in Disguise': The Misheard Lyric Matching Problem Nicholas Ring and Alexandra L. Uitdenbogerd School of Computer Science and Information Technology, RMIT University GPO Box 2476V, Melbourne 3001, ...
This book constitutes the refereed proceedings of the 15th Information Retrieval Technology Conference, AIRS 2019, held in Hong Kong, China, in November 2019.The 14 full papers presented together with 3 short papers were carefully reviewed ...
This book constitutes the refereed proceedings of the Third Asia Information Retrieval Symposium, AIRS 2006. The book presents 34 revised full papers and 24 revised poster papers.
This book constitutes the refereed proceedings of the 6th Asia Information Retrieval Symposium, AIRS 2010, held in Taipei, Taiwan, in December 2010.
In this section, we briefly review the related work on two areas, including personalized information retrieval and the geometry underlying IR. Personalized search aims to provide customized search results according to an individual ...
This paper presents a two-step framework for job IR, which in fact combine the IR model and the similarity measure schemes of two semi-structure documents together. In this work, we investigate on the most popular IR model, i.e.VSM, ...
Semi-structured Information Retrieval (SIR) allows the user to narrow his search down to the element level. As queries and XML documents can be seen as hierarchically nested elements, we consider that their structural proximity can be ...
Web pages often embed scripts for a variety of purposes, including advertising and dynamic interaction. ... We perform experiments on the standard WT10G web page corpus, and show that our techniques eliminate over 50% of errors over a ...
This book constitutes the thoroughly refereed post-proceedings of the Asia Information Retrieval Symposium, AIRS 2004, held in Beijing, China, in October 2004.
Asia Information Retrieval Symposium, AIRS 2004, Beijing, China, October 18-20, 2004. Revised Selected Papers Sung Hyon Myaeng, Ming Zhou, Kam-Fai Wong, Hong-Jiang Zhang. Using Verb Dependency Matching in a Reading Comprehension System ...
From indexing information, we know that A, B, and C have Answer, Location, and AK, respectively. ... context restriction of template 101, so the system extracts [Location=world], [AK=computer], and [Answer=ENIAC] as RIU.
This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009.
... lexical relatedness using a translation model. We then describe a thematic model and the combination of lexical and thematic relatedness. 3.1 Using Lexical Relatedness Previous methods [2][3][4] try to make use of lexical relatedness ...
... search users in Web search are not equally informative in indicating relevance. Search experts are supposed to be ... models are effective in estimating both the relevance and the user expertise. Our best performing model improves the ...