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» Positional language models for information retrieval
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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
15 years 4 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
SIGIR
2008
ACM
14 years 9 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
SIGIR
2003
ACM
15 years 3 months ago
A personalised information retrieval tool
Due to both the size and growth of the internet, new tools are needed to assist with the finding and extraction of very specific resources relevant to a user's task. Previous...
Innes Martin, Joemon M. Jose
CIKM
2005
Springer
15 years 3 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
IUI
2005
ACM
15 years 3 months ago
Task aware information access for diagnosis of manufacturing problems
Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations...
Larry Birnbaum, Wallace J. Hopp, Seyed M. R. Irava...