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» A Probabilistic Retrieval Model for Semistructured Data
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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
13 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
WWW
2010
ACM
14 years 2 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
COORDINATION
2004
Springer
14 years 28 days ago
Probabilistic and Prioritized Data Retrieval in the Linda Coordination Model
Linda tuple spaces are flat and unstructured, in the sense that they do not allow for expressing preferences of tuples; for example, we could be interested in indicating tuples th...
Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, ...
SIGIR
2004
ACM
14 years 29 days ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
14 years 7 months ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum