AIR/X - a Rule-Based Multistage Indexing System for Large Subject Fields (1991)

by Norbert Fuhr , Stephan Hartmann , Gerhard Lustig , Michael Schwantner , Konstadinos Tzeras , Gerhard Knorz
Venue:PROCEEDINGS OF RIAO'91
Citations:51 - 5 self

Active Bibliography

3 Automatic Indexing in Operation: The Rule-Based System AIR/X for Large Subject Fields – Norbert Fuhr, Stephan Hartmann, Gerhard Lustig, Konstadinos Tzeras, Gerhard Knorz, Michael Schwantner - 1993
58 A probabilistic framework for vague queries and imprecise information in databases – Norbert Fuhr - 1990
103 Probabilistic Models in Information Retrieval – Norbert Fuhr - 1992
93 A Probabilistic Learning Approach for Document Indexing – Norbert Fuhr, Chris Buckley - 1991
24 Probabilistic Information Retrieval as Combination of Abstraction, Inductive Learning and Probabilistic Assumptions – Norbert Fuhr, Ulrich Pfeifer - 1994
12 Combining Model-Oriented and Description-Oriented Approaches for Probabilistic Indexing – Norbert Fuhr, Ulrich Pfeifer
54 Automatic Indexing Based on Bayesian Inference Networks – Kostas Tzeras, Stephan Hartmann - 1993
63 "Is This Document Relevant? ...Probably": A Survey of Probabilistic Models in Information Retrieval – Fabio Crestani, Mounia Lalmas, Cornelis J. Van Rijsbergen, Iain Campbell - 2001
20 Machine Learning in Automated Text Categorisation – Fabrizio Sebastiani - 1999
1103 Machine Learning in Automated Text Categorization – Fabrizio Sebastiani, Consiglio Nazionale Delle Ricerche - 2002
2 Representations, Models and Abstractions in Probabilistic Information Retrieval – Norbert Fuhr - 1993
7 Optimum Probability Estimation from Empirical Distributions – Norbert Fuhr, Hubert Hüther, Technische Hochschule Darmstadt, Fachbereich Informatik - 1989
87 Models for retrieval with probabilistic indexing – Norbert Fuhr - 1989
41 A Theory of Term Weighting Based on Exploratory Data Analysis – Warren R. Greiff - 1998
264 A Probabilistic Model of Information Retrieval: Development and Status – K. Sparck Jones, S. Walker, S.E. Robertson - 1998
1 Documents similarity measurement using field association – El-sayed Atlam, M. Fuketa, K. Morita, Jun-ichi Aoe - 2002
An Adaptive Local Dependency Language Model: Relaxing the Na ve Bayes' Assumption – Ramesh Nallapati And
150 Probabilistic Models for Information Retrieval based on Divergence from Randomness – Gianni Amati, Cornelis Joost, Van Rijsbergen - 2002
347 Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval – David D. Lewis - 1998