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SIGIR
2010
ACM
13 years 11 months ago
Adaptive near-duplicate detection via similarity learning
In this paper, we present a novel near-duplicate document detection method that can easily be tuned for a particular domain. Our method represents each document as a real-valued s...
Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
APWEB
2004
Springer
14 years 1 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong
NLDB
2007
Springer
14 years 1 months ago
Text Segmentation Based on Document Understanding for Information Retrieval
Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user...
Violaine Prince, Alexandre Labadié
IAJIT
2011
12 years 11 months ago
Effect of weight assignment in data fusion based information retrieval
: Variation in performances of an Information Retrieval system, which merges results from a number of retrieval schemes possessing equal and unequal weights, is studied in this pap...
Batri Krishnan, Murugesh Veerasamy, Gopalan Nagamm...
ACTAC
2006
126views more  ACTAC 2006»
13 years 7 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...