Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

Natural Language Processing is an upcoming field in the area of text mining. As text is an unstructured source of information, to make it a suitable input to an automatic method of information extraction it is usually transformed into a structured format. Part of Speech Tagging is one of the preprocessing steps which perform semantic analysis by assigning one of the parts of speech to the given word. In this paper we had discussed various models of supervised and unsupervised technique, experimentally compared the results obtained in models of Supervised CRF and Supervised Maximum Entropy Model. We had also discussed the problem occurring with supervised part of speech tagging.

1. Introduction
2. Classification of Part of Speech Tagging
3. Classification of Supervised and Unsupervised Tagging Techniques
4. Comparison of Different Models of Supervised and Unsupervised Technique
5. Experimental Results Obtained for CRF Model and Maximum Entropy Model
6. Discussion
7. Conclusion
8. References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal