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|Title:||Text classification using Belief Augmented Frames||Authors:||Tan, C.K.-Y.||Issue Date:||2004||Citation:||Tan, C.K.-Y. (2004). Text classification using Belief Augmented Frames. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 3157 : 515-523. ScholarBank@NUS Repository.||Abstract:||In this paper we present our work on applying Belief Augmented Frames to the text classification problem. We formulate the problem in two alternative ways, and we evaluate the performance of both formulations against established text classification algorithms. We also compare the performance against a text classifier based on Probabilistic Argumentation System, an alternative argumentation system similar to Belief Augmented Frames. We show that Belief Augmented Frames are a promising new approach to text classification, and we present suggestions for future work. © Springer-Verlag Berlin Heidelberg 2004.||Source Title:||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)||URI:||http://scholarbank.nus.edu.sg/handle/10635/42057||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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