Enrichment of BOW Representation with Syntactic and Semantic Background Knowledge

Author:

Alfred Rayner,Anthony Patricia,Alias Suraya,Tahir Asni,Chin Kim On,Keng Lau Hui

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Choudhary, B., Bhattacharyya, P.: Textclustering using Universal Networking Language representation. In: Eleventh International World Wide Web Conference (2003)

2. Zelikovitz, S., Hirsh, H.: Improving Text Classification with LSI Using Background Knowledge. In: Proceedingsof CIKM 2001,10th ACM International Conference on Information and Knowledge Management (2001)

3. Cohen, W.W., Singer, Y.: Context-sensitive learning methods for text categorization. ACM Trans. Inf. Syst. (1999)

4. Goadrich, M., Oliphant, L., Shavlik, J.: Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction. In: Proceedings of the Fourteenth International Conference on Inductive Logic Programming, Porto, Portugal (2004)

5. Maria, F.C., Stan, M.: Incorporating Syntax and Semantics in the Text Representation for Sentence Selection. In: Recent Advances in Natural Language Processing, Borovets, Bulgaria (2007)

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