Applied categorical data analysis
Applied categorical data analysis
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic phrase indexing for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments with document components for indexing and retrieval
Information Processing and Management: an International Journal
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Two learning schemes in information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
The automatic indexing system AIR/PHYS - from research to applications
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
The effectiveness of a nonsyntatic approach to automatic phrase indexing for document retrieval
Journal of the American Society for Information Science
Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
A neural network for probabilistic information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Optimum polynomial retrieval functions
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
A probability distribution model for information retrieval
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Incorporating syntactic information into a document retrieval strategy: an investigation
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
An interpretation of index term weighting schemes based on document components
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Probabilistic approaches to the document retrieval problem
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Combining model-oriented and description-oriented approaches for probabilistic indexing
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Some inconsistencies and misnomers in probabilistic information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
An evaluation of phrasal and clustered representations on a text categorization task
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
A system for retrieving speech documents
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Improving document representations using relevance feedback: the RFA algorithm
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Data extraction as text categorization: an experiment with the MUC-3 corpus
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Documents and queries as random variables: History and implications: Research Articles
Journal of the American Society for Information Science and Technology
The optimum clustering framework: implementing the cluster hypothesis
Information Retrieval
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Based on the binary independence indexing model, we apply three new concepts for probabilistic document indexing from relevance feedback data:Abstraction from specific terms and documents, which overcomes the restriction of limited relevance information for parameter estimation.Flexibility of the representation, which allows the integration of new text analysis and knowledge-based methods in our approach as well as the consideration of more complex document structures or different types of terms (e.g. single words and noun phrases).Probabilistic learning or classification methods for the estimation of the indexing weights making better use of the available relevance information.We give experimental results for five test collections which show improvements over other indexing methods.