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Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models [chapter]

Corrado Boscarino, Arjen P. de Vries
2009 Lecture Notes in Computer Science  
A mismatch between different event spaces has been used to argue against rank equivalence of classic probabilistic models of information retrieval and language models.  ...  Acknowledging our solution of the event space issue invites to rethink the relation between probabilistic models, statistics and logic in the context of IR.  ...  The Marginalisation Paradox and the Determination of the Priors We attempt to untangle the complex, and only implicitly defined notion of event space given in [6] , using what we call three different  ... 
doi:10.1007/978-3-642-04417-5_24 fatcat:asets3d76vdevactinsjxcfrfy

Monolingual and Cross-Lingual Probabilistic Topic Models and Their Applications in Information Retrieval [chapter]

Marie-Francine Moens, Ivan Vulić
2013 Lecture Notes in Computer Science  
Moreover, we present how to use the knowledge from the topic models in the tasks of cross-lingual event clustering, cross-lingual document classification and the detection of cross-lingual semantic similarity  ...  Their probabilistic framework allows for their easy integration into a language modeling framework for monolingual and crosslingual information retrieval.  ...  The audience more interested in practical IR models will learn how the current state-of-the-art topic-based retrieval models work, and how to exploit the power of probabilistic topic modeling in information  ... 
doi:10.1007/978-3-642-36973-5_106 fatcat:bnk7t6l3zjfmval53l3lu5bbym

A study of probability kinematics in information retrieval

F. Crestani, C. J. van Rijsbergen
1998 ACM Transactions on Information Systems  
Two of these models are based on classical probability theory and can be considered as prototypes of models long in use in Information Retrieval, like the Vector Space Model and the Probabilistic Model  ...  We analyze the transfer of probabilities occurring in the term space at retrieval time for these four models, compare their retrieval performance using classical test collections, and discuss the results  ...  Special thanks to Peter Bruza for the interesting discussions on the topics of this research, and to Mark Sanderson for his most valuable help in the experimentation.  ... 
doi:10.1145/290159.290161 fatcat:o3lmou2fobd7lcsazvwuopqbu4

A survey in traditional information retrieval models

Hai Dong, Farookh Khadeer Hussain, Elizabeth Chang
2008 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies  
In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.  ...  Index Terms-index-term based information retrieval models, Boolean models, algebraic models, probabilistic models.  ...  SEMANTIC SEARCH MODELS The traditional information retrieval models, as in Fig.1 , can be primarily divided into the category of set theoretic models, algebraic models and probabilistic models.  ... 
doi:10.1109/dest.2008.4635214 fatcat:azzki4wfq5drbk7p2yds63a2vi

Probability kinematics in information retrieval

F. Crestani, C. J. van Rijsbergen
1995 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95  
Two of these models are based on classical probability theory and can beconsidered as prototypes of models long in use in Information Retrieval, like the Vector Space Model and the Probabilistic Model.  ...  We analyse the transfer of probabilities occurring in the term space at retrieval time for these four models, compare their retrieval performance using classical test collections, and discuss the results  ...  Special thanks to Peter Bruza for the interesting discussions on the topics of this research, and to Mark Sanderson for his most valuable help in the experimentation.  ... 
doi:10.1145/215206.215373 dblp:conf/sigir/CrestaniR95 fatcat:wxrdnxnmffg4ley4kx7ywlu76m

On event space and rank equivalence between probabilistic retrieval models

Robert W. P. Luk
2008 Information retrieval (Boston)  
Keywords Probabilistic models Á Event space Á Information retrieval Introduction Robertson's (2005) instructive paper cautions some of the mathematical derivations of language models for information retrieval  ...  He further questions the event spaces of the earlier language model by Ponte and Croft (  ...  Appendix I: Alternative derivation According to the Lafferty and Zhai (2003) model, the ranking formula (i.e., Eq. 1.18 in Lafferty and Zhai 2003) is:  ... 
doi:10.1007/s10791-008-9062-z fatcat:fb44fm6tiveyldqolsbpjqsa6u

A Self-Referential Perceptual Inference Framework for Video Interpretation [chapter]

Christopher Town, David Sinclair
2003 Lecture Notes in Computer Science  
of entities, relationships, and events of interest occurring in a video sequence.  ...  This representation allows one to pose the problem of video analysis in terms of queries expressed in a visual language incorporating prior hierarchical knowledge of the syntactic and semantic structure  ...  The principal author received financial support from the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1007/3-540-36592-3_6 fatcat:4bgk6fhapfdwfcmjaj2s66c7uu

A Comparison of Text Retrieval Models

H. R. Turtle, W. B. Croft
1992 Computer journal  
Many retrieval models have been proposed as the basis of text retrieval systems. The three main classes that have been investigated are the exact-match, vector space and probabilistic models.  ...  In this paper we introduce a recent form of the probabilistic model based on inference networks, and show how the vector space and exact-match models can be described in this framework.  ...  One corresponds to the event that' information retrieval' has been automatically assigned to a subset of the collection, the second corresponds to the event that' information retrieval' has been manually  ... 
doi:10.1093/comjnl/35.3.279 fatcat:bwipc6ljsvbkbdwxlemj5f43vi

Multi-modal multi-correlation person-centric news retrieval

Zechao Li, Jing Liu, Xiaobin Zhu, Hanqing Lu
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
In this paper, we propose a framework of multi-modal multicorrelation person-centric news retrieval, which integrates news event correlations, news entity correlations, and evententity correlations simultaneously  ...  The proposed framework is confined to a person-name query and enables a more vivid and informative person-centric news retrieval by providing two views of result presentation, namely a query-oriented multicorrelation  ...  To fully employ the multi-correlation information, we proposed a Multi-correlation Probabilistic Matrix Factorization model (MPMF) to analyze news entity correlation, news event correlation and entity-event  ... 
doi:10.1145/1871437.1871464 dblp:conf/cikm/LiLZL10 fatcat:tghxviynnve63gwurutveq3a3u

A Survey of Information Retrieval Models for Malayalam Language Processing

Arjun Babu, Sindhu L.
2014 International Journal of Computer Applications  
Information retrieval is concerned with the storage of text documents and their subsequent retrieval in response to user's requests for information.  ...  General Terms Information Retrieval (IR), Malayalam, IR Models Keywords Boolean Model, vector space Model, Probabilistic Model, Bayesian network Model, Inference Network Model, Latent  ...  Probabilistic Model The probabilistic retrieval model is based on the probability relevance, which states that an information retrieval system is rank the documents according to their probability of relevance  ... 
doi:10.5120/18820-0230 fatcat:tm37gfyvrvbtfhyzzybow225bq

On Event Spaces and Probabilistic Models in Information Retrieval

Stephen Robertson
2005 Information retrieval (Boston)  
The information retrieval case, involving queries, documents and relevance, is analysed. The event space issue makes for some difficulty in comparing different probabilistic models in IR.  ...  A basic notion of probability theory is the event space, on which the probability measure is defined. A probabilistic model needs an event space.  ...  Introduction There have been several attempts recently to reconcile, or at least to understand the relationship between, traditional probabilistic models of information retrieval and the newer language  ... 
doi:10.1007/s10791-005-5665-9 fatcat:dxeriefscbaoffxilxqyxxl6b4

Inference networks for document retrieval

H. Turtle, W. B. Croft
1990 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '90  
The use of inference networks to support document retrieval is introduced. A network-basead retrieval model is described and compared to conventional probabilistic and Boolean models.  ...  Acknowledgments This work was supported in part by OCLC Online Computer Library Center, by the Air Force Office of Scientific Research under contract 90-0110, and by NSF Grant IRI-8814790.  ...  One corresponds to the event that "information retrieval" has been automatically extracted from a subset of the collection, the second corresponds to the event that "information retrieval" has been manually  ... 
doi:10.1145/96749.98006 dblp:conf/sigir/TurtleC90 fatcat:z7izrvc3ljfgdhocx7oq2vk67m

Inference Networks for Document Retrieval

Howard Turtle, W. Bruce Croft
2017 SIGIR Forum  
The use of inference networks to support document retrieval is introduced. A network-basead retrieval model is described and compared to conventional probabilistic and Boolean models.  ...  Acknowledgments This work was supported in part by OCLC Online Computer Library Center, by the Air Force Office of Scientific Research under contract 90-0110, and by NSF Grant IRI-8814790.  ...  One corresponds to the event that "information retrieval" has been automatically extracted from a subset of the collection, the second corresponds to the event that "information retrieval" has been manually  ... 
doi:10.1145/3130348.3130361 fatcat:wnn5vbaacjg4vofyk4fagnj6ym

Looking back: On relevance, probabilistic indexing and information retrieval

Paul Thompson
2008 Information Processing & Management  
Although it is one of the most widely cited papers in the field of information retrieval, many researchers today may not be familiar with its influence.  ...  This paper describes the Maron and Kuhns article and the influence that it has had on the field of information retrieval.  ...  Acknowledgements The author thanks M.E. Maron, I.J. Good, and R. Solomonoff for their comments on the state of information retrieval research around 1960.  ... 
doi:10.1016/j.ipm.2007.10.002 fatcat:ijfndl2zhnbjvkmkwbz3uxic4e

Evaluation of an inference network-based retrieval model

Howard Turtle, W. Bruce Croft
1991 ACM Transactions on Information Systems  
The use of inference networks to support document retrieval is introduced. A network-based retrieval model is described and compared to conventional probabilistic and Boolean models.  ...  The performance of a retrieval system based on the inference network model is evaluated and compared to performance with conventional retrieval models,  ...  One corresponds to the event that "information retrieval" has been automatically extracted from a subset of the collection, the second corresponds to the event that "information retrieval" has been manually  ... 
doi:10.1145/125187.125188 fatcat:byqcaa2zljcjdflsliz2smsi7a
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