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SIGIR
2004
ACM
14 years 2 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
CISST
2003
128views Hardware» more  CISST 2003»
13 years 10 months ago
Fast Correspondence-Based System for 2-D Shape Classification
In earlier work, we developed a fast method for 2-D shape retrieval based on point correspondences of silhouette contours. That method did not assume that the database shapes had ...
Boaz J. Super
ASWC
2006
Springer
14 years 24 days ago
Semantic Autocompletion
This paper generalizes the idea of traditional syntactic text autocompletion onto the semantic level. The idea is to autocomplete typed text into ontological categories instead of ...
Eero Hyvönen, Eetu Mäkelä
ACSC
2008
IEEE
14 years 3 months ago
An investigation on a community's web search variability
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
Mingfang Wu, Andrew Turpin, Justin Zobel
CONTEXT
2007
Springer
14 years 3 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White