A Rule-Based Framework of Metadata Extraction from Scientific Papers

2011 ◽  
Author(s):  
Zhixin Guo ◽  
Hai Jin
Keyword(s):  
Rule Based ◽  
Metadata Extraction ◽  
Scientific Papers

scholarly journals Rule-based word clustering for document metadata extraction

2005 ◽  
Author(s):  
Hui Han ◽  
Eren Manavoglu ◽  
Hongyuan Zha ◽  
Kostas Tsioutsiouliklis ◽  
C. Lee Giles ◽  
...  
Keyword(s):  
Rule Based ◽  
Metadata Extraction ◽  
Word Clustering

Knowledge discovery about scientific papers or proceedings referenced NASA/DAAC data with a rule-based classifier

2002 ◽  
Author(s):  
Donglian Sun ◽  
Chris Lynnes ◽  
Richard K. Kiang ◽  
Steve Kempler ◽  
George Serafino
Keyword(s):  
Knowledge Discovery ◽  
Rule Based ◽  
Scientific Papers ◽  
Rule Based Classifier

Automated document metadata extraction

2009 ◽  
Vol 35 (5) ◽  
pp. 563-570 ◽  
Author(s):  
Bolanle Adefowoke Ojokoh ◽  
Olumide Sunday Adewale ◽  
Samuel Oluwole Falaki
Keyword(s):  
Machine Learning ◽  
Pattern Matching ◽  
Recall Accuracy ◽  
Web Documents ◽  
Rule Based ◽  
Metadata Extraction ◽  
The Future ◽  
Matching Techniques ◽  
Theses And Dissertations ◽  
F Measure

Web documents are available in various forms, most of which do not carry additional semantics. This paper presents a model for general document metadata extraction. The model, which combines segmentation by keywords and pattern matching techniques, was implemented using PHP, MySQL, JavaScript and HTML. The system was tested with 40 randomly selected PDF documents (mainly theses). An evaluation of the system was done using standard criteria measures namely precision, recall, accuracy and F-measure. The results show that the model is relatively effective for the task of metadata extraction, especially for theses and dissertations. A combination of machine learning with these rule-based methods will be explored in the future for better results.

Using Conventional Articulation Tests With Highly Unintelligible Children

1992 ◽  
Vol 23 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Pamela G. Garn-Nunn ◽  
Vicki Martin
Keyword(s):  
Test Results ◽  
Phonological Processes ◽  
Rule Based ◽  
Severity Level ◽  
Error Sensitivity ◽  
Conventional Tests ◽  
Severity Levels ◽  
Conventional Test ◽  
Impaired Children

This study explored whether or not standard administration and scoring of conventional articulation tests accurately identified children as phonologically disordered and whether or not information from these tests established severity level and programming needs. Results of standard scoring procedures from the Assessment of Phonological Processes-Revised, the Goldman-Fristoe Test of Articulation, the Photo Articulation Test, and the Weiss Comprehensive Articulation Test were compared for 20 phonologically impaired children. All tests identified the children as phonologically delayed/disordered, but the conventional tests failed to clearly and consistently differentiate varying severity levels. Conventional test results also showed limitations in error sensitivity, ease of computation for scoring procedures, and implications for remediation programming. The use of some type of rule-based analysis for phonologically impaired children is highly recommended.

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