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An evaluation of term dependence models in information retrieval [chapter]

G. Salton, C. Buckley, C. T. Yu
Research and Development in Information Retrieval  
Term Dependency Models From a decision-theoretic viewpoint, the information retrieval task is controlled by two prohabilistic parameters which specify for each document of a collection the probability  ...  In this study, methods are outlined for generating dependency factors for term pairs and term triples and for using them in retrieval.  ...  [8] Many additional modifications in the experimental design may be made in an attempt to evaluate the use of term dependencies in information retrieval.  ... 
doi:10.1007/bfb0036345 dblp:conf/sigir/SaltonBY82 fatcat:ny27zwxbxbck3f534ufrztdpzq

Term associations in query expansion

Michael Symonds, Guido Zuccon, Bevan Koopman, Peter Bruza, Laurianne Sitbon
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
This has created an increased interest in dependency-based models.  ...  However, researchers have recently demonstrated that consistent and significant improvements in retrieval effectiveness can be achieved by explicitly modelling term dependencies within the query expansion  ...  INTRODUCTION Dependency-based models of information retrieval have demonstrated superior retrieval effectiveness over models that ignore term dependencies, like tf.idf and language modelling approaches  ... 
doi:10.1145/2505515.2507852 dblp:conf/cikm/SymondsZKBS13 fatcat:nbnxylefzrgk5mlbhpgtqakfgy

A Comparison of Retrieval Models using Term Dependencies

Samuel Huston, W. Bruce Croft
2014 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14  
A number of retrieval models incorporating term dependencies have recently been introduced.  ...  Most of these modify existing "bag-ofwords" retrieval models by including features based on the proximity of pairs of terms (or bi-terms).  ...  Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF grant #CNS-0934322.  ... 
doi:10.1145/2661829.2661894 dblp:conf/cikm/HustonC14 fatcat:s7w3xwp6bvaali7kuy2pmxr6ym

Query-Dependent Feature Weighting [chapter]

Donald Metzler
2011 A Feature-Centric View of Information Retrieval  
The extension is a generic framework for learning the importance of query term concepts in a way that directly optimizes an underlying retrieval metric.  ...  the most likely concepts in terms of query segmentation.  ...  Direct optimization of an underlying retrieval metric ties the model described in this chapter to learning-to-rank approaches for information retrieval (LR4IR) (see Liu 2009 for a recent survey).  ... 
doi:10.1007/978-3-642-22898-8_5 fatcat:3l4sid3novbvbarxruveete3sq

Properties of Extended Boolean Models in Information Retrieval [chapter]

Joon Ho Lee
1994 SIGIR '94  
In this paper, we analyze the behaviourat aspects of the previous extended boolean models and address important mathematical properties to affect retrieval effectiveness.  ...  Extended boolean models such as fuzzy set, Wailer-Kraft, Paice, P-Norm and Infinite-One have been proposed in the past to support ranking facility for the boolean retrievats ystem.  ...  The documents are represented by two pairs of an index term and its weight. dl = { (Information, O), (Retrieval, O) ] d~= { (Information, 1), (Retrieval, O) } ql = Infonnatiou AND Reuieval When the product  ... 
doi:10.1007/978-1-4471-2099-5_19 dblp:conf/sigir/Lee94 fatcat:eozzldvbzfgj7fq2ojyedxhpgq

Refining term weights of documents using term dependencies

Hee-soo Kim, Ikkyu Choi, Minkoo Kim
2004 Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04  
When processing raw documents in Information Retrieval (IR) System, a term-weighting scheme is used to calculate the importance of each term which occurs in a document.  ...  However, most term-weighting schemes assume that a term is independent of the other terms. Term dependency is an indispensable consequence of language use [1].  ...  In our experiments, we evaluated the proposed method by comparing retrieval performances in vector space model and language model.  ... 
doi:10.1145/1008992.1009116 dblp:conf/sigir/KimCK04 fatcat:d6ejvwavrzba3hel4pxsrygxae

Pertinent Information retrieval based on Possibilistic Bayesian network : origin and possibilistic perspective [article]

Kamel Garrouch, Mohamed Nazih Omri, Bachir Elayeb
2012 arXiv   pre-print
In this paper we present a synthesis of work performed on tow information retrieval models: Bayesian network information retrieval model witch encode (in) dependence relation between terms and possibilistic  ...  network information retrieval model witch make use of necessity and possibility measures to represent the fuzziness of pertinence measure.  ...  CONCLUSION AND FUTURE WORK In this paper we have presented tow information retrieval models: the first, BNR model encode the dependence relations between terms used to index documents.  ... 
arXiv:1206.0968v1 fatcat:zo2yvsuuzbeefoxzqcux5hvw5e

Test-framework: performance profiling and testing web search engine on non factoid queries

Althaf Ali A, Mahammad Shafi R
2019 Indonesian Journal of Electrical Engineering and Computer Science  
In testing, we use test cases composed to different type of queries to evaluate the performance aspects of the information retrieval system for large scale information collection.  ...  In this technique, we apply expectation maximization algorithm as an iterative method to find maximum likelihood estimate.We discuss on the important aspects in this work based on Recommendation models  ...  It is the first work to evaluate the search engine in terms of query model, crawler model, Indexing model, ranking model and Information retrieval model in terms of concept based mining.  ... 
doi:10.11591/ijeecs.v14.i3.pp1373-1381 fatcat:42kxp6frazfmnltvir5nq36awu

Dependencies: Formalising Semantic Catenae for Information Retrieval [article]

Christina Lioma
2017 arXiv   pre-print
These tools are principally expressed in nine distinct models that capture aspects of semantic dependence in highly interpretable and non-complex ways.  ...  This dissertation contributes a series of such tools, diverse in their mathematical formulation, but common in their application to model semantic inferences when machines process text.  ...  Model V is evaluated both on text reordering (standard task in coherence modelling) and also on ad hoc information retrieval.  ... 
arXiv:1709.03742v1 fatcat:4fdrnsmwdnb4pe37b6ritmvnme

A quasi-synchronous dependence model for information retrieval

Jae Hyun Park, W. Bruce Croft, David A. Smith
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
Incorporating syntactic features in a retrieval model has had very limited success in the past, with the exception of binary term dependencies.  ...  We model four different types of relationships between syntactically dependent term pairs to perform inexact matching between documents and queries.  ...  ACKNOWLEDGEMENT This work was supported in part by the Center for Intelligent Information Retrieval and in part by ARRA NSF IIS-9014442 .  ... 
doi:10.1145/2063576.2063585 dblp:conf/cikm/ParkCS11 fatcat:322ei4cg25bvrptjiminyektqu

Learning concept importance using a weighted dependence model

Michael Bendersky, Donald Metzler, W. Bruce Croft
2010 Proceedings of the third ACM international conference on Web search and data mining - WSDM '10  
In this paper, we show that one of the most effective existing term dependence models can be naturally extended by assigning weights to concepts.  ...  Our experimental results indicate that our model consistently and significantly outperforms both the standard bag-of-words model and the unweighted term dependence model, and that combining endogenous  ...  The retrieval experiments are set-up as follows. For all TREC collections, we obtain an initial list of top-1000 results retrieved by an unweighted sequential dependence model.  ... 
doi:10.1145/1718487.1718492 dblp:conf/wsdm/BenderskyMC10 fatcat:eofm5bl77bbahjujc6ase5afvu

Information retrieval with query hypergraphs

Michael Bendersky
2012 SIGIR Forum  
Bruce taught me innumerable valuable lessons in conducting successful and meaningful research.  ...  His critical thinking, deep appreciation of the prior work, constant pursuit of advancing the state-of-the-art, and boundless intellectual curiosity had, and will continue to have, a profound impact on  ...  Figure 8 . 8 1(a) shows an excerpt from the top document retrieved by a sequential dependence model (Metzler and Croft 2005) -a state-of-the-art retrieval model that incorporates term dependencies -in  ... 
doi:10.1145/2422256.2422273 fatcat:6qycajgmcvhlja7yehghwvsexi

Two-stage query segmentation for information retrieval

Michael Bendersky, W. Bruce Croft, David A. Smith
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
In this paper, we examine two query segmentation models that reduce the number of dependencies.  ...  Modeling term dependence has been shown to have a significant positive impact on retrieval.  ...  EVALUATION In this section, we evaluate the retrieval performance attained by the proposed segmentation models.  ... 
doi:10.1145/1571941.1572140 dblp:conf/sigir/BenderskyCS09 fatcat:l5jh2t7euzg5xohcdrtyjh5ne4

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
2018 BMC Medical Informatics and Decision Making  
We trained multiple word embeddings using health-related articles in Wikipedia and then evaluated their performance in the analogy and semantic relation term retrieval tasks.  ...  We also assessed if the evaluation results depend on the domain of the textual corpora by comparing the embeddings of health-related Wikipedia articles with those of general Wikipedia articles.  ...  Acknowledgements We would like to thank Sihui Liu from Department of Mathematics at Florida State University for her help in processing the medical-related semantic relations from the Unified Medical Language  ... 
doi:10.1186/s12911-018-0630-x pmid:30066651 pmcid:PMC6069806 fatcat:nsuli7yixbdmncnrpuijavt7eu

Ad-hoc Retrieval on FIRE Data Set with TF-IDF and Probabilistic Models

Chandra ShekharJangid, Santosh K Vishwakarma, Kamaljit I Lakhtaria
2014 International Journal of Computer Applications  
Information Retrieval is finding documents of unstructured nature which should satisfy user's information needs. There exist various models for weighting terms of corpus documents and query terms.  ...  This work is carried out to analyze and evaluate the retrieval effectiveness of various IR models while using the new data set of FIRE 2011.  ...  EXPERIMENTAL EVALUATION Evaluation is always an important part of any research of any area in all around the world, same it useful in context of information retrieval.  ... 
doi:10.5120/16435-6136 fatcat:h3zd2sn6erhhxhsidsokzfjao4
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