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» Document Retrieval using a Probabilistic Knowledge Model
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ICTAI
2007
IEEE
14 years 1 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
IPM
2000
142views more  IPM 2000»
13 years 6 months ago
Adapting a diagnostic problem-solving model to information retrieval
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
Inien Syu, Sheau-Dong Lang
EMNLP
2010
13 years 4 months ago
Translingual Document Representations from Discriminative Projections
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
John Platt, Kristina Toutanova, Wen-tau Yih
SIGIR
2002
ACM
13 years 6 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
ICML
2000
IEEE
14 years 7 months ago
Learning to Probabilistically Identify Authoritative Documents
We describe a model of document citation that learns to identify hubs and authorities in a set of linked documents, such as pages retrieved from the world wide web, or papers retr...
David Cohn, Huan Chang