Boosting Inductive Transfer for Text Classification Using Wikipedia

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Boosting Inductive Transfer for Text Classification Using Wikipedia
Authors
Somnath Banerjee
Publication date
2007
DOI
10.1109/ICMLA.2007.25
Links
Original

Boosting Inductive Transfer for Text Classification Using Wikipedia - scientific work related to Wikipedia quality published in 2007, written by Somnath Banerjee.

Overview

Inductive transfer is applying knowledge learned on one set of tasks to improve the performance of learning a new task. Inductive transfer is being applied in improving the generalization performance on a classification task using the models learned on some related tasks. In this paper, authors show a method of making inductive transfer for text classification more effective using Wikipedia. Authors map the text documents of the different tasks to a feature space created using Wikipedia, thereby providing some background knowledge of the contents of the documents. It has been observed here that when the classifiers are built using the features generated from Wikipedia they become more effective in transferring knowledge. An evaluation on the daily classification task on the Reuters RCV1 corpus shows that method can significantly improve the performance of inductive transfer. Authors method was also able to successfully overcome a major obstacle observed in a recent work on a similar setting.

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Wikipedia Quality

Banerjee, Somnath. (2007). "[[Boosting Inductive Transfer for Text Classification Using Wikipedia]]".DOI: 10.1109/ICMLA.2007.25.

English Wikipedia

{{cite journal |last1=Banerjee |first1=Somnath |title=Boosting Inductive Transfer for Text Classification Using Wikipedia |date=2007 |doi=10.1109/ICMLA.2007.25 |url=https://wikipediaquality.com/wiki/Boosting_Inductive_Transfer_for_Text_Classification_Using_Wikipedia}}

HTML

Banerjee, Somnath. (2007). &quot;<a href="https://wikipediaquality.com/wiki/Boosting_Inductive_Transfer_for_Text_Classification_Using_Wikipedia">Boosting Inductive Transfer for Text Classification Using Wikipedia</a>&quot;.DOI: 10.1109/ICMLA.2007.25.