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A Semantic Feature for Relation Recognition Using a Web based Corpus

A Semantic Feature for Relation Recognition Using a Web based Corpus

... We used the package of (Chang and Lin, 2001) to design the following experiments. In addition, ν- SVM with a radial kernel function was used to learn the relation classifier. To determine the parameters in ν-SVM, ... See full document

7

Comparison of the Baseline Knowledge , Corpus , and Web based Similarity Measures for Semantic Relations Extraction

Comparison of the Baseline Knowledge , Corpus , and Web based Similarity Measures for Semantic Relations Extraction

... ilarity scores associated to each target concept to z- scores. (3) Summarize the distribution of similari- ties across relations by plotting the z-scores grouped by relations in a box plot. (4) Verify the statistical ... See full document

11

Web Page Structure Enhanced Feature Selection for Classification of Web Pages

Web Page Structure Enhanced Feature Selection for Classification of Web Pages

... achieved using text classification techniques. Web page classification is different from traditional text classification due to additional information, provided by web page structure which provides ... See full document

6

A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

... The relation- ships between these classes can be expressed by using a hierarchical structure: superclasses represent higher- level concepts and subclasses represent finer concepts, and the finer concepts ... See full document

6

Inforex – a web-based tool for text corpus management and semantic annotation

Inforex – a web-based tool for text corpus management and semantic annotation

... of relation that connect two ...annotated using general mech- anism for ...anaphora relation is too ...new relation requires three operations: (1) selection of a source word or named entity, ... See full document

7

A Corpus for Evaluating Semantic Multilingual Web Retrieval Systems: The Sense Folder Corpus

A Corpus for Evaluating Semantic Multilingual Web Retrieval Systems: The Sense Folder Corpus

... evaluate Semantic Multilingual Web Retrieval Systems, we have to analyze different parameters like lin- guistic relations, document encodings, classification and clustering ...and Semantic Domains ... See full document

6

Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web

Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web

... for semantic relation extraction, as de- scribed in many reports such as (Kambhatla, 2004); (Bunescu and Mooney, 2005); (Harabagiu et ...for semantic relation extraction are mostly supervised, ... See full document

9

Large Corpus based Semantic Feature Extraction for Pronoun Coreference

Large Corpus based Semantic Feature Extraction for Pronoun Coreference

... use semantic labeling because it provides more general and meaningful patterns, with a “deeper” analysis than parsed ...the semantic la- beling is the dependency representation of the text, where each ... See full document

9

Using Syntactic and Semantic based Relations for Dialogue Act Recognition

Using Syntactic and Semantic based Relations for Dialogue Act Recognition

... In contrast to existing systems using mainly lexical features, i.e. words, single markers such as punctuation (Verbree et al., ) or combinations of various features (Stolcke et al., 2000) for the dia- logue act ... See full document

9

Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology

Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology

... of web document clustering and information ...a web search approach based on the semantic features and key ...ontology based document retrieval has been presented in ...an ... See full document

6

Corpus based Semantic Lexicon Induction with Web based Corroboration

Corpus based Semantic Lexicon Induction with Web based Corroboration

... for semantic class learning have also been developed specifically for the ...eral Web-based semantic class learners build upon Hearst’s early work (Hearst, 1992) with hyponym ...hyponym ... See full document

9

Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification

Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification

... Event recognition and event type classifi- cation are among the important areas in text ...large feature space. In this paper, we propose a novel feature selection method using a ... See full document

9

Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages

Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages

... the semantic or category ...of Web pages are involved (Ali and Omar, ...of using stemming to identify the relevant features for Arabic text clustering are ...that using stemming in combination ... See full document

60

GSM Based Automatic License Plate Recognition System

GSM Based Automatic License Plate Recognition System

... automatic recognition has many uses. For example, the license plate recognition (LPR) system can be used in smart parking areas or smart toll stations to open gates for vehicles bearing authorized license ... See full document

5

Predicting the Presence of Discourse Connectives

Predicting the Presence of Discourse Connectives

... correct relation would be without a connective, the more necessary it is to include ...coherence relation holding be- tween them and a candidate connective that could be used to signal the relation, ... See full document

10

Feature-based decision rules for control charts pattern recognition: A comparison between CART and QUEST algorithm   Pages 199-210
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Feature-based decision rules for control charts pattern recognition: A comparison between CART and QUEST algorithm Pages 199-210 Download PDF

... rules is that simultaneous application of all these rules is likely to result in excessive number of false alarms or incorrect recognition. Many other researchers (Pham and Oztemel, 1992b; Hwarng and Hubele, 1993; ... See full document

12

Automatic Evaluation of Relation Extraction Systems on Large scale

Automatic Evaluation of Relation Extraction Systems on Large scale

... works based on realistic-sized ...of relation extraction systems based on an automatic annotator that uses a public online database and a large web ... See full document

6

Text mining in archaeology: Extracting information from archaeological reports

Text mining in archaeology: Extracting information from archaeological reports

... The OPTIMA NER phase also implements a negation detection mechanism targeted at matching phrases which negate any of the four CRM entities (Place, Physical Object, Material and Time Appellation) (Vlachidis and Tudhope ... See full document

15

A Method of Web Page Classification Based on Feature Dimension Reduction

A Method of Web Page Classification Based on Feature Dimension Reduction

... program using java and python prepared in the experiment, first is to use the java to grab the page, but when to visit with protective measures, it will be rejected, but with their browser to access it, is ... See full document

5

Text Mining in Archaeology : Extracting Information from Archaeological Reports

Text Mining in Archaeology : Extracting Information from Archaeological Reports

... the Semantic Technologies for Archaeological Research (STAR) project (Vlachidis et ...of semantic technologies in cross search and integration of archaeological digital ...of semantic technologies ... See full document

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