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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2007
Springer
15 years 4 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
IPM
2007
123views more  IPM 2007»
14 years 10 months ago
Generating gene summaries from biomedical literature: A study of semi-structured summarization
Most knowledge accumulated through scientific discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understandin...
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxia...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
15 years 10 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
CIKM
2005
Springer
15 years 3 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
KDD
2000
ACM
140views Data Mining» more  KDD 2000»
15 years 1 months ago
Effective Retrieval of Audio Information from Annotated Text Using Ontologies
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
Latifur Khan, Dennis McLeod