A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Measuring semantic similarity in the taxonomy of WordNet
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Corpus-based and knowledge-based measures of text semantic similarity
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Natural Language Processing with Python
Natural Language Processing with Python
Measuring semantic distance using distributional profiles of concepts
Measuring semantic distance using distributional profiles of concepts
Domain-specific semantic relatedness from Wikipedia: can a course be transferred?
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
| Hi-index | 0.00 |
Semantic distance is the degree of closeness between two pieces of text determined by their meaning. Semantic distance is typically measured by analyzing a set of documents or a list of terms and assigning a metric based on the likeness of their meaning or the concept they represent. Although related research provides some semantic-based algorithms, few applications exist. This work proposes a semantic-based approach for automatically identifying potential course equivalencies given their catalog descriptions. The method developed by Li et al. (2006) is extended in this paper to take a course description from one university as the input and suggest equivalent courses offered at another university. Results are evaluated and future work is discussed.