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SIGIR
2004
ACM
15 years 3 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
CLEF
2006
Springer
15 years 1 months ago
The University of Lisbon at GeoCLEF 2006
This paper details the participation of the XLDB group from the University of Lisbon at the GeoCLEF task of CLEF 2006. We tested text mining methods that make use of an ontology t...
Bruno Martins, Nuno Cardoso, Marcirio Silveira Cha...
DMSN
2005
ACM
14 years 11 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
PVLDB
2008
136views more  PVLDB 2008»
14 years 9 months ago
Keyword query cleaning
Unlike traditional database queries, keyword queries do not adhere to predefined syntax and are often dirty with irrelevant words from natural languages. This makes accurate and e...
Ken Q. Pu, Xiaohui Yu
CIKM
2009
Springer
14 years 7 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin