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EMNLP
2009
13 years 5 months ago
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Emily Pitler, Ken Ward Church
WWW
2007
ACM
14 years 8 months ago
EPCI: extracting potentially copyright infringement texts from the web
In this paper, we propose a new system extracting potentially copyright infringement texts from the Web, called EPCI. EPCI extracts them in the following way: (1) generating a set...
Takashi Tashiro, Takanori Ueda, Taisuke Hori, Yu H...
IJSI
2008
115views more  IJSI 2008»
13 years 7 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
SIGMOD
2006
ACM
162views Database» more  SIGMOD 2006»
14 years 7 months ago
Efficient query processing in geographic web search engines
Geographic web search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region. Geographic search tec...
Yen-Yu Chen, Torsten Suel, Alexander Markowetz
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
14 years 9 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler