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SIGIR
2009
ACM
13 years 11 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
IJSI
2008
129views more  IJSI 2008»
13 years 5 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
CCS
2011
ACM
12 years 5 months ago
SURF: detecting and measuring search poisoning
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly em...
Long Lu, Roberto Perdisci, Wenke Lee
SIGIR
2004
ACM
13 years 10 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng