Hits 1.621 – 1.627 of 1.627
1621 |
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/MedNLP/08-NTCIR10-MEDNLP-KuL.pdf
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1622 |
Language Anxiety and the Achievement of School based Oral English Test among Malaysian Form Four Students
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In: http://ijlter.org/index.php/ijlter/article/viewFile/32/pdf/
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1623 |
Test of English as a foreign language (TOEFL) : good indicator for student success at Community Colleges?
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1624 |
The relation between vocabulary and mental age of a rural white population
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1625 |
An approach to Natural Language understanding
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Abstract:
Doctor of Philosophy ; Department of Computing and Information Sciences ; David A. Gustafson ; Natural Language understanding over a set of sentences or a document is a challenging problem. We approach this problem using semantic extraction and an ontology for answering questions based on the data. There is more information in a sentence than that found by extracting out the visible terms and their obvious relations between one another. It is the hidden information that is not seen that gives this solution the advantage over alternatives. This methodology was tested against the FraCas Test Suite with near perfect results (correct answers) for the sections that are the focus of this paper (Generalized Quantifiers, Plurals, Adjectives, Comparatives, Verbs, and Attitudes). The results indicate that extracting the visible semantics as well as the unseen semantics and their interrelations using an ontology to reason over it provides reliable and provable answers to questions validating this technology.
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Keyword:
Computer Science (0984); FraCas Test Suite; Natural Language understanding; Ontology; Question Answering; Semantic
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URL: http://hdl.handle.net/2097/17581
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1626 |
Language of testing effects for academic achievement of French immersion students
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1627 |
On the reliability of switching costs across time and domains
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