Enhancing text clustering by leveraging Wikipedia semantics
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Building semantic kernels for text classification using wikipedia
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Leveraging Web 2.0 Sources for Web Content Classification
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
Clustering Documents Using a Wikipedia-Based Concept Representation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Building a Text Classifier by a Keyword and Wikipedia Knowledge
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
International Journal of Human-Computer Studies
Wikipedia-assisted concept thesaurus for better web media understanding
Proceedings of the international conference on Multimedia information retrieval
Exploiting time-based synonyms in searching document archives
Proceedings of the 10th annual joint conference on Digital libraries
A self-supervised approach for extraction of attribute-value pairs from wikipedia articles
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Adaptable term weighting framework for text classification
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Unsupervised feature weighting based on local feature relatedness
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Grammatical dependency-based relations for term weighting in text classification
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
A multi-layer text classification framework based on two-level representation model
Expert Systems with Applications: An International Journal
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge
Proceedings of the 20th ACM international conference on Information and knowledge management
Wikipedia-based semantic smoothing for the language modeling approach to information retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Wikipedia-based smoothing for enhancing text clustering
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
A social network-based approach to expert recommendation system
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
A semantic-based social network of academic researchers
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA
Proceedings of the 21st ACM international conference on Information and knowledge management
Improving cross-document knowledge discovery using explicit semantic analysis
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
A new term ranking method based on relation extraction and graph model for text classification
ACSC '11 Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 113
A semantic social network-based expert recommender system
Applied Intelligence
Improving semi-supervised text classification by using wikipedia knowledge
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Improving question retrieval in community question answering using world knowledge
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
PSG: a two-layer graph model for document summarization
Frontiers of Computer Science: Selected Publications from Chinese Universities
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The exponential growth of text documents available on the Internet has created an urgent need for accurate, fast, and general purpose text classification algorithms. However, the "bag of words" representation used for these classification methods is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. In order to deal with this problem, we integrate background knowledge in our application: Wikipedia into the process of classifying text documents. The experimental evaluation on Reuters newsfeeds and several other corpus shows that our classification results with encyclopedia knowledge are much better than the baseline "bag of words" methods.