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Information Retrieval using Dempster-Shafer Theory

Phuke V.A, H. N. Bharathi
2014 International Journal of Computer Applications  
Information retrieval model using Dempster-Shafer theory also known as evidence theory is used in this paper.  ...  Vector space model is a popular model and is widely used for information retrieval. The judgment of the relevance between a query and a document is evaluated using cosine similarity between them.  ...  theory of evidence is utilized to retrieve documents using noun phrases [2] .  ... 
doi:10.5120/17879-8876 fatcat:omqykxftlne5rjq6rc4rglmd44

DR-LINK system

Elizabeth D. Liddy, Sung H. Myaeng
1993 Proceedings of a workshop on held at Fredericksburg, Virginia September 19-23, 1993 -  
A retrieval system needs to be able to process natural language sentences and extract key concepts and the implicit relations among them, which cannot be expressed as a set of keywords or phrases.  ...  For example, it may be crucial to detect documents that talk about a dispute between Airbus and an aircraft company (i.e. the specific relationship between the two concepts), not just about dispute, Airbus  ...  using the Dempster Shafer algorithm) to DRsurl (univector).  ... 
doi:10.3115/1119149.1119161 dblp:conf/tipster/LiddyM93 fatcat:7ryyxjop2jbuvfcsluothtffje

Natural language processing for word sense disambiguation and information extraction [article]

K. R. Chowdhary
2020 arXiv   pre-print
The thesis concludes with the presentation of a novel strategy based on Dempster-Shafer theory of evidential reasoning, for document retrieval and information extraction.  ...  A Document Retrieval system collects the relevant documents carrying the required information, from the repository of texts.  ...  Chapter 7: This chapter presents a new approach for Document Retrieval and Information Extraction using Dempster-Shafer theory of evidential reasoning.  ... 
arXiv:2004.02256v1 fatcat:svbzrfogh5dt7a4edsghwfhxfy

Representing and retrieving structured documents using the Dempster‐Shafer theory of evidence: modelling and evaluation

Mounia Lalmas, Ian Ruthven
1998 Journal of Documentation  
In this paper we report on a theoretical model of structured document indexing and retrieval based on Dempster-Shafer's Theory of Evidence.  ...  This is especially true for long documents, documents that cover a variety of subjects and documents that contain an author-defined structure.  ...  Acknowledgements We would like to thank the IR groups at the University of Glasgow and the University of Dortmund for much encouragement and feedback on this work.  ... 
doi:10.1108/eum0000000007180 fatcat:iktolvdbgbev5mpvfhltfecuiy

A Subjective Logic Formalisation of the Principle of Polyrepresentation for Information Needs [article]

Christina Lioma and Birger Larsen and Hinrich Schütze and Peter Ingwersen
2017 arXiv   pre-print
information retrieval in a given context.  ...  A formal model is introduced and discussed, with illustrative applications to the modelling of information needs.  ...  model (see [52] for a survey), the best-known of which is Dempster-Shafer's Belief Theory [7, 46] (see [21] for an elaborated discussion on the differences between Dempster-Shafer and Subjective  ... 
arXiv:1704.01610v1 fatcat:m4w4czk3hjcwplxzzorspaissa

A subjective logic formalisation of the principle of polyrepresentation for information needs

Christina Lioma, Birger Larsen, Hinrich Schuetze, Peter Ingwersen
2010 Proceeding of the third symposium on Information interaction in context - IIiX '10  
information retrieval in a given context.  ...  A formal model is introduced and discussed, with illustrative applications to the modelling of information needs.  ...  model (see [52] for a survey), the best-known of which is Dempster-Shafer's Belief Theory [7, 46] (see [21] for an elaborated discussion on the differences between Dempster-Shafer and Subjective  ... 
doi:10.1145/1840784.1840804 dblp:conf/iiix/LiomaLSI10 fatcat:i7djesm3ajbqdpk7uwd454cvxm

Probabilistic word sense disambiguation

Judita Preiss
2004 Computer Speech and Language  
The main feature of the design is that it combines multiple probabilistic modules using both Dempster-Shafer theory and Bayes Rule.  ...  Additionally, the use of Lidstone's smoothing provides a uniform mechanism for weighting modules based on their accuracy, removing the need for an additional weighting scheme.  ...  Suitability of SCF Acquisition to Evaluating WSD We also investigate how suitable the SCF acquisition task is as an evaluation method for WSD.  ... 
doi:10.1016/j.csl.2004.05.003 fatcat:2qqz5vbe4vcc3jonad7nopxmqq

Fuzzy Domain Ontology Discovery for Business Knowledge Management

Raymond Y. K. Lau
2007 The IEEE intelligent informatics bulletin  
This paper illustrates a novel fuzzy domain ontology discovery algorithm for supporting real-world business ontology engineering.  ...  Empirical studies have con rme d that the proposed method can discover high quality fuzzy domain ontology which leads to signi cant improvement in information retrieval performance.  ...  The Dempster-Shafer theory of evidence model is adopted to model the relations among classes.  ... 
dblp:journals/cib/Lau07 fatcat:lan4xgml7jgolpsl5gsstkrvzq

Supervised Noun Phrase Coreference Research: The First Fifteen Years

Vincent Ng
2010 Annual Meeting of the Association for Computational Linguistics  
The research focus of computational coreference resolution has exhibited a shift from heuristic approaches to machine learning approaches in the past decade.  ...  Acknowledgments We thank the three anonymous reviewers for their invaluable comments on an earlier draft of the paper. This work was supported in part by NSF Grant IIS-0812261.  ...  The Dempster-Shafer rule (Dempster, 1968) , which combines the positive and negative pairwise decisions to score a partition, is used by Kehler (1997) and Bean and Riloff (2004) to identify the most  ... 
dblp:conf/acl/Ng10 fatcat:i5icpasxfbfn7m2qzlynehu6xq

Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning

R.Y.K. Lau, Dawei Song, Yuefeng Li, T.C.H. Cheung, Jin-Xing Hao
2009 IEEE Transactions on Knowledge and Data Engineering  
As a result, adaptive teaching for a large class is handicapped.  ...  The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm.  ...  The noun phrase patterns "Noun Noun" were used for all the experiments discussed in this paper.  ... 
doi:10.1109/tkde.2008.137 fatcat:vnskfamvazcgvj26bzty4cqzbi

A Dempster-ShaferModel for Document Retrieval using Noun Phrases

Marcos Theophylactou, Mounia Lalmas
1998 unpublished
We use single terms and term groups as indexing elements to represent documents and queries. The model is formally expressed within the Dempster-Shafer Theory of Evidence.  ...  In this paper, we propose a document retrieval system based on natural language processing of documents and queries.  ...  Acknowledgement We would like to thank Ian Ruthven for his comments on previous versions of this paper. References  ... 
doi:10.14236/ewic/irsg1998.13 fatcat:p7sx3igo5femjo4ps3cxlp2xl4


2010 International journal on artificial intelligence tools  
We denote the enhanced approach CorSum-SF and use the summaries generated by CorSum-SF to train a Multinomial Naïve Bayes classifier for categorizing web document summaries into predefined classes.  ...  We further enhance CorSum by considering the significance factor of sentences in documents, in addition to using word-correlation factors, for document summarization.  ...  and (iii) the presence of noun phrases to compute a score for each sentence in a document D.  ... 
doi:10.1142/s0218213010000285 fatcat:lgjid4q6crgajonthtmilctfsi

Representations for multi-document event clustering

Wim De Smet, Marie-Francine Moens
2012 Data mining and knowledge discovery  
We study several techniques for representing, fusing and comparing content representations of news documents.  ...  Content terms can be classified as topical terms or named entities, yielding several models for content fusion and comparison. All used methods are completely unsupervised.  ...  Other methods are here possible including probabilistic models (Pearl 1991) or models based on Dempster-Shafer evidential theory (Shafer 1976 ).  ... 
doi:10.1007/s10618-012-0270-1 fatcat:bnvptyrmwbhpxera5iq6se2exe

Language-based querying of image collections on the basis of an extensible ontology

Christopher Town, David Sinclair
2004 Image and Vision Computing  
models of saliency and relevance and those employed by a retrieval system.  ...  The design of a specialised query language for content based image retrieval (CBIR) provides a means of addressing many of the problems associated with commonly used query paradigms such as query-by-example  ...  Acknowledgements The authors would like to acknowledge directional guidance and support from AT&T Laboratories Research and financial assistance from the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1016/j.imavis.2003.10.002 fatcat:bcyyqxyt3je2xhkw4rvecw5v4q

Probabilistic XML: Models and Complexity [chapter]

Benny Kimelfeld, Pierre Senellart
2013 Studies in Fuzziness and Soft Computing  
In essence, a probabilistic XML document is a compact representation of a probability distribution over ordinary XML documents.  ...  Various models of probabilistic XML provide different languages, with various degrees of expressiveness, for such compact representations.  ...  We are grateful to Evgeny Kharlamov for his helpful comments. This work was partially supported by the European Research Council grant Webdam (under FP7), grant agreement 226513.  ... 
doi:10.1007/978-3-642-37509-5_3 fatcat:lcoqkx7euvfb3dietqvb6v3qva
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