19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007) Word Segmentation Using Domain Knowledge Based on Conditional Random Fields Paris, France October 29-October 31 ISBN: 0-7695-3015-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.93
In this investigation, we propose an experimental ap- proach for word segmentation in Japanese under domain- dependent situation. We apply Conditional Random Fields (CRF) to our issue. CRF learns several probabilistic pa- rameters from training data with specific feature functions dependent on domains. Here we propose how to define domain specific feature functions.
Citation:
Takuya Fukuda, Masataka Izumi, Takao Miura, "Word Segmentation Using Domain Knowledge Based on Conditional Random Fields," ictai, vol. 2, pp.436-439, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||