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A kernel-based approach to document retrieval
2010
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems - DAS '10
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We show how our method based on similarity kernels outperforms the usual distance-based retrieval. ...
In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. ...
BACKGROUND ON KERNELS In this paper we adopt a kernel-based approach for document retrieval. ...
doi:10.1145/1815330.1815379
dblp:conf/das/GordoGVR10
fatcat:gxleqdnwibbrhihnpozsxavewm
Position-based contextualization for passage retrieval
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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The core principle is to let any occurrence of a query term in a document affect the passage retrieval score, whether the occurrence is in the passage or not. ...
We present a novel contextualization approach for passage retrieval. ...
A novel contextualization approach We consider a novel contextualization approach for passage retrieval that is based on leveraging a fundamental principle underlying the locality-based similarity [8] ...
doi:10.1145/2505515.2507865
dblp:conf/cikm/CarmelSK13
fatcat:4sfwqafmp5buljhqeylgybhrxq
Proximity-based opinion retrieval
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
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We propose a proximity-based opinion propagation method to calculate the opinion density at each point in a document. ...
In this paper we propose a simple probabilistic model for assigning relevant opinion scores to documents. ...
This research was partly funded by the "Secrétariat d'étatà l'Éducation età la Recherche (SER)" and COST Action IC0702 "Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis ...
doi:10.1145/1835449.1835517
dblp:conf/sigir/GeraniCC10
fatcat:3weyimudl5dyjb4pgeau6g6i44
Combining visual features and text data for medical image retrieval using latent semantic kernels
2010
Proceedings of the international conference on Multimedia information retrieval - MIR '10
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Then, a system to search using the query-by-example paradigm is evaluated instead of a keyword-based search. ...
In this paper we propose an strategy to fuse visual features and unstructured-text data in a medical image retrieval system. ...
This novel approach is based on a kernel method solution that allows to model complex document representations by operating with appropriate similarity measures. ...
doi:10.1145/1743384.1743442
dblp:conf/mir/CaicedoMNG10
fatcat:jvbk72tepvczvmsjjdizqobzje
One Class Classification Methods Based Non-Relevance Feedback Document Retrieval
2006
2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops
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However, the initial retrieved documents, which are displayed to a user, sometimes don't include relevant documents. ...
In order to solve this problem, we propose a new feedback method using information of non-relevant documents only. We named this method nonrelevance feedback document retrieval. ...
In general, since a user hardly describes a precise query in the first trial, interactive approach to modify the query vector by evaluation of the user on documents in a list of retrieved documents. ...
doi:10.1109/wi-iatw.2006.98
dblp:conf/iat/OnodaMY06a
fatcat:xswgpadpdbhh5gzdhyntymmrna
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
2006
The 2006 IEEE International Joint Conference on Neural Network Proceedings
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However, the initial retrieved documents, which are displayed to a user, sometimes don't include relevant documents. ...
Our proposed approach has been very useful for document retrieval with relevance feedback experimentally. ...
In our experiments, One Class SVM based non-relevance feedback approach makes better performance than SVDD based approach for an interactive document retrieval. ...
doi:10.1109/ijcnn.2006.246829
dblp:conf/ijcnn/OnodaMY06
fatcat:22vxy47cejf5beksniudq5bnre
Fisher kernel based relevance feedback for multimodal video retrieval
2013
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13
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This paper proposes a novel approach to relevance feedback based on the Fisher Kernel representation in the context of multimodal video retrieval. ...
Hence during relevance feedback we create a new Fisher Kernel representation based on the most relevant examples. ...
In this paper, we propose a new RF approach for video genre retrieval, using a combination of Fisher Kernels with SVM Classifiers. ...
doi:10.1145/2461466.2461478
dblp:conf/mir/MironicaIUS13
fatcat:ijtevl3zbre2xj2dmjqn5ozavq
Retrieving Passages and Finding Answers
2014
Proceedings of the 2014 Australasian Document Computing Symposium on - ADCS '14
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Retrieving topically-relevant text passages in documents has been studied many times, but finding non-factoid, multiple sentence answers to web queries is a different task that is becoming increasingly ...
As the first stage of developing retrieval models for "answer passages", we describe the process of creating a test collection of questions and multiple-sentence answers based on the TREC GOV2 queries ...
We employ a homogeneity measure based on the length of the document to assign weights to each component. ...
doi:10.1145/2682862.2682877
dblp:conf/adcs/KeikhaPCS14
fatcat:ctp3zimpdbe4db4t23zoyh65ny
Conformer-Kernel with Query Term Independence for Document Retrieval
[article]
2020
arXiv
pre-print
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to BERT-based ranking models. ...
We show that the Conformer's GPU memory requirement scales linearly with input sequence length, making it a more viable option when ranking long documents. ...
This approach can not only negatively impact retrieval quality, but has been shown to specifically under-retrieve longer documents [Hofstätter et al., 2020a] . ...
arXiv:2007.10434v1
fatcat:vxpfn3fnwbge3fx5kiejezvhj4
Header-Words Based for Printed Arabic Document Images Retrieval System
2017
Iraqi Journal of Science
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In this paper, a printed Arabic document images retrieval system based on spotting the header words of official Arabic documents is proposed. ...
Printed Arabic document image retrieval is a very important and needed system for many companies, governments and various users. ...
The proposed system implement a new approach to retrieve the desired documents by extracting significant features from the header-words of document images. ...
doi:10.24996/ijs.2017.58.3c.18
fatcat:ytubhdaqynhjbdcmrbviirv72m
Combining content and structure similarity for XML document classification using composite SVM kernels
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
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Combination of structure and content features is necessary for effective retrieval and classification of XML documents. ...
Classification experiments performed on the INEX 1.3 XML corpus, demonstrate that the composite kernel classifier achieves significantly better performance as compared to complex and time consuming approaches ...
Other approaches include rule-based approaches like XRules [9] . ...
doi:10.1109/icpr.2008.4761539
dblp:conf/icpr/GhoshM08
fatcat:5ltulzed2naobjyaucdp2pn2k4
Document-Document similarity matrix and Multiple-Kernel Fuzzy C-Means Algorithm-based web document clustering for information retrieval
IJARCCE - Computer and Communication Engineering
2014
IJARCCE
IJARCCE - Computer and Communication Engineering
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In this work, Document-Document similarity matrix and Multiple-Kernel Fuzzy C-Means Algorithm-based web document clustering is developed for information retrieval. ...
Due to continuous development of World Wide Web, web database are growing massively where automatic grouping of web documents pose a new challenge for researchers to easily retrieve the information. ...
DOCUMENT-DOCUMENT SIMILARITY MATRIX AND MULTIPLE-KERNEL FUZZY C-MEANS ALGORITHM TO
WEB DOCUMENT CLUSTERING FOR INFORMATION RETRIEVAL This section presents the proposed document clustering approach using ...
doi:10.17148/ijarcce.2014.31054
fatcat:kxkj4xi2e5gktgdmtntumya7vu
An One Class Classification Approach to Non-relevance Feedback Document Retrieval
[chapter]
2005
Lecture Notes in Computer Science
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The non-relevance feedback document retrieval is based on One-class Support Vector Machine. ...
However, the initial retrieved documents, which are displayed to a user, sometimes don't include relevant documents. ...
In general, since a user hardly describes a precise query in the first trial, interactive approach to modify the query vector using evaluation of the documents on a list of retrieved documents by a user ...
doi:10.1007/11540007_161
fatcat:vmiuefdzwbaddikcjl6ixfzlsy
Learning Similarity with Probabilistic Latent Semantic Analysis for Image Retrieval
2015
KSII Transactions on Internet and Information Systems
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It first derives Fisher kernel, a function over the parameters and variables, based on PLSA. ...
Content based image retrieval (CBIR) is the most promising way to tackle this problem, where the most important topic is to measure the similarity of images so as to cover the variance of shape, color, ...
Learning Fisher Kernel with PLSA In this section, we will proceed to derive the Fisher kernel based on PLSA and propose a supervised learning approach for the derived kernel. ...
doi:10.3837/tiis.2015.04.009
fatcat:vc3po2xtqrdbbdom4mjb5xkf64
CRTER
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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Term proximity retrieval rewards a document where the matched query terms occur close to each other. ...
We propose a Cross Term Retrieval (CRTER) model that combines the Cross Terms' information with basic probabilistic weighting models to rank the retrieved documents. ...
Therefore, traditional proximity-based approaches may not be able to boost the relevant documents of this specific topic. ...
doi:10.1145/2009916.2009941
dblp:conf/sigir/ZhaoHH11
fatcat:oczgvpy3wrbdth7aeap6ml4vre
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