[PDF] Top 20 Using a Wikipedia based Semantic Relatedness Measure for Document Clustering
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Using a Wikipedia based Semantic Relatedness Measure for Document Clustering
... distance measure in graphs, ...for semantic query suggestion using a query/URL bipartite graph (Mei et ...lexical relatedness of words in a graph built from WordNet (Hughes and Ramage, ... See full document
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Experiments on Semantic based Clustering for Cross document Coreference
... The SemEval evaluation has prepared two sets of data to investigate the cross-document coreference problem: one for development and one for testing. The data consists of around 100 Web files per per- son name, ... See full document
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Ontology Based Semantic Document Clustering Using LDA Algorithm
... of clustering has been considered generally in the database and statistics writing in the context of a wide variety of data mining ...The clustering issue can be characterized as discovering gatherings of ... See full document
5
Semantic Relatedness of Wikipedia Concepts – Benchmark Data and a Working Solution
... The relatedness between concept A and concept B CC(A, B) is the average word- to-concept relatedness between the words in A and the con- cept ...level relatedness between A and B is the average over ... See full document
5
tESA: a distributional measure for calculating semantic relatedness
... actual document-document similarity, while in tESA we assume that sets of documents might share common vocabulary ...or document (depending on the actual implementation) and the tar- get vector space ... See full document
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A Semantic Relatedness Measure Based on Combined Encyclopedic, Ontological and Collocational Knowledge
... The idea is to avoid “historical sections” in pages de- scribing current notions or objects. Historical sections are detected by a higher frequency of past-tense verbs, unless of course the whole page is of a historical ... See full document
6
Semantic based Document Clustering: A Detailed Review
... term- document matrix depends on the strength of the relationship between its associated term and the respective ...calculated using different criteria like Inverse Document frequency and Information ... See full document
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Corpus Co-Occurrence, Dictionary and Wikipedia Entries as Resources for Semantic Relatedness Information
... of semantic similarity (Lin, 1998; Schulte im Walde, 2006; Sahlgren, 2006; Padó and La- pata, 2007), and also in psycholinguistic models of se- mantic priming (Lund et ... See full document
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Cross lingual Semantic Relatedness Using Encyclopedic Knowledge
... between relatedness measures. Specifically, using the translation produced by the machine translation engine for the first word in a pair, we calculate the relatedness within the space of the ... See full document
10
Semantic Relatedness from Automatically Generated Semantic Networks
... measuring semantic relatedness which first builds a large-scale se- mantic network and then determines the relatedness of nodes by the similarity of their surrounding local ...and Wikipedia ... See full document
5
Text Document Clustering based on Semantics
... like clustering can be ...consider semantic aspect of terms in the ...a document can be calculated using the traditional frequency weights called tf-idf (term frequency-inverse document ... See full document
6
Document Similarity Measure for Classification and Clustering using TF-IDF
... and clustering algorithms. A cosine-based pairwise adaptive similarity [6] for document clustering used cosine to calculate a correlation similarity between two projected documents in a ... See full document
5
Semantic Based Multilingual Document Clustering via Tensor Modeling
... through machine translation techniques based on a se- lected anchor language. Conversely, a comparable cor- pus is a collection of multilingual documents written over the same set of classes (Ni et al., 2011; Yo- ... See full document
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Harnessing different knowledge sources to measure semantic relatedness under a uniform model
... path based, Information Content (IC) based, statistical and hybrid ...Path based methods (Hirst and St-Onge, 1998; Leacock and Chodorow, 1998; Pekar and Staab, 2002; Rada et ...1994) measure ... See full document
12
A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
... SR using these re- sources in ...by using lexical semantic ...of Wikipedia, Wiktionary and WordNet. We then analyze the lexical semantic relations that hold among query and ... See full document
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Measuring Word Semantic Relatedness Using WordNet-Based Approach
... a document. Typically, many semantic similarity measures are used for calculating the relatedness among ...senses based on the whole graph. The main disadvantage of graph-based methods ... See full document
8
Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology
... The growing size of web documents challenges the information retrieval and search engine systems. Every day lakhs and lakhs of web pages has been launched. This increasing phenomenon requires to be indexed by various ... See full document
6
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
... with semantic relations posing a strong competition against ...of semantic relatedness, many have piloted the studies of using Wiktionary as an alternative to ...rank based algorithm to ... See full document
8
Domain Specific Semantic Relatedness From Wikipedia: Can A Course Be Transferred?
... is based on the Brown cor- pus, or more recently, ...Wikipedia. Wikipedia- based measures, however, typically do not take into account the rapid growth of that re- source, which exponentially ... See full document
6
Semantic Based Document Clustering Using Lexical Chains
... a document by its corresponding concepts(s) extracted from an ontology before applying the clustering ...the clustering algorithm to be invoked multiple times (for different cluster initialization, ... See full document
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