Paper: Simplicity is Better: Revisiting Single Kernel PPI Extraction

ACL ID C10-1024
Title Simplicity is Better: Revisiting Single Kernel PPI Extraction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

It has been known that a combination of multiple kernels and addition of various resources are the best options for im- proving effectiveness of kernel-based PPI extraction methods. These supple- ments, however, involve extensive ker- nel adaptation and feature selection processes, which attenuate the original benefits of the kernel methods. This pa- per shows that we are able to achieve the best performance among the state- of-the-art methods by using only a sin- gle kernel, convolution parse tree kernel. In-depth analyses of the kernel reveal that the keys to the improvement are the tree pruning method and consideration of tree kernel decay factors. It is note- worthy that we obtained the perfor- mance without having to use any addi- tional features, kernels or corpora.