Zelikovitz, S. and H. Hirsh. 2001. Using LSI for Text Classification in the Presence of Background Text. Proceedings of CIKM-01, 10th ACM International Conference on Information and Knowledge Management.  Home/Search Document Details and Download
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Combining Clustering and Co-training to Enhance Text.. - Raskutti, Ferra.. (2002) (1 citation) (Correct)
....metrics. We then present the results of our experiments (Section 5) and discuss their implications (Section 6) Finally, Section 7 summarises our contributions. 2. RELATED RESEARCH Various researchers have shown that unlabelled data is useful for reducing error rates in text classification [1, 3, 4, 8, 13]. There are two main approaches for exploiting unlabelled data: 1) transform the input feature spaces using information in the unlabelled data [13] and (2) iteratively label part of the unlabelled data [1, 3, 4, 8] Zelikovitz and Hirsh [13] follow the first approach, and use the unlabelled ....
....2. RELATED RESEARCH Various researchers have shown that unlabelled data is useful for reducing error rates in text classification [1, 3, 4, 8, 13] There are two main approaches for exploiting unlabelled data: 1) transform the input feature spaces using information in the unlabelled data [13], and (2) iteratively label part of the unlabelled data [1, 3, 4, 8] Zelikovitz and Hirsh [13] follow the first approach, and use the unlabelled corpus to create a model of the domain that incorporates the words that co occur in the corpus. This new model, created using Latent Semantic Indexing, ....
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S. Zelikovitz and H. Hirsh. Using LSI for text classification in the presence of background text. In Proceedings of the Tenth International Conf. on Information and Knowledge Management, 2001.
An Infrastructure for Open Latent Semantic Linking - Macedo, Pimentel, al. (2002) (Correct)
....(the same word has often di#erent meanings) by automatically organizing documents into a semantic structure more appropriate for information retrieval. Many researchers have applied, extended and evaluated LSA. One example is the use of LSA to organize retrieval results semantically [5] [39]. Soto used LSA to compute semantic similarity between task descriptions and menu labels in applications based in menu [35] Papadimitriu et al..li s results indicate that, under certain conditions, LSA does succeed in capturing the underlying of a corpus and achieves improved retrieval performance ....
S. Zelikovitz and H. Hirsh. Using lsi for text classification in the presence of background text. In Proceedings of 10th International Conference on Information and Knowledge Management, pages 113--118, 2001.
Analysis of the values in the LSI Term-Term Matrix - Mill, Kontostathis (Correct)
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Zelikovitz, S. and H. Hirsh. 2001. Using LSI for Text Classification in the Presence of Background Text. Proceedings of CIKM-01, 10th ACM International Conference on Information and Knowledge Management.
Assessing the Impact of Sparsification on LSI Performance - Kontostathis, Pottenger.. (2004) (Correct)
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Sarah Zelikovitz and Haym Hirsh. Using LSI for text classification in the presence of background text. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of CIKM-01, tenth ACM International Conference on Information and Knowledge Management, pages 113--118, Atlanta, GA, 2001. ACM Press, New York. 6
Identification of Critical Values in Latent Semantic.. - Kontostathis, Pottenger, .. (Correct)
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Sarah Zelikovitz and Haym Hirsh. Using LSI for text classification in the presence of background text. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of CIKM-01, tenth ACM International Conference on Information and Knowledge Management, pages 113--118, Atlanta, GA, 2001. ACM Press, New York.
Pruning the Vocabulary for Better Context Recognition - Madsen, Sigurdsson, Hansen, .. (2004) (Correct)
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S. Zelikovitz and H. Hirsh. Using LSI for text classification in the presence of background text. In Henrique Paques, Ling Liu, and David Grossman, editors, Proceedings of CIKM-01, 10th ACM International Conference on Information and Knowledge Management, pages 113-- 118, Atlanta, US, 2001. ACM Press, New York, US.
Assessing the Impact of Sparsification on LSI Performance - Kontostathis, Pottenger.. (2004) (Correct)
No context found.
Sarah Zelikovitz and Haym Hirsh. Using LSI for text classification in the presence of background text. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of CIKM-01, tenth ACM International Conference on Information and Knowledge Management, pages 113--118, Atlanta, GA, 2001. ACM Press, New York. 6
Identification of Critical Values in Latent Semantic.. - Kontostathis, Pottenger, .. (2005) (Correct)
No context found.
Sarah Zelikovitz and Haym Hirsh. Using LSI for text classification in the presence of background text. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of CIKM-01, tenth ACM International Conference on Information and Knowledge Management, pages 113--118, Atlanta, GA, 2001. ACM Press, New York.
Detecting Patterns in the LSI Term-Term Matrix - Kontostathis, Pottenger (2002) (1 citation) (Correct)
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Zelikovitz, S. and H. Hirsh. Using LSI for Text Classification in the Presence of Background Text. Proceedings of CIKM-01, 10th ACM International Conference on Information and Knowledge Management. 2001
Assessing the Impact of Sparsification on LSI Performance - Kontostathis, Pottenger.. (2004) (Correct)
No context found.
Zelikovitz, S. and H. Hirsh. 2001. Using LSI for Text Classification in the Presence of Background Text. Proceedings of CIKM-01, 10th ACM International Conference on Information and Knowledge Management.
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