Paper: Fine-Grained Genre Classification Using Structural Learning Algorithms

ACL ID P10-1077
Title Fine-Grained Genre Classification Using Structural Learning Algorithms
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Prior use of machine learning in genre classification used a list of labels as clas- sification categories. However, genre classes are often organised into hierar- chies, e.g., covering the subgenres of fic- tion. In this paper we present a method of using the hierarchy of labels to improve the classification accuracy. As a testbed for this approach we use the Brown Cor- pus as well as a range of other corpora, in- cluding the BNC, HGC and Syracuse. The results are not encouraging: apart from the Brown corpus, the improvements of our structural classifier over the flat one are not statistically significant. We discuss the relation between structural learning per- formance and the visual and distributional balance of the label hierarchy, suggesting that only balanced hierarchies might profi...