Abstract
The snapshot of a word means the most informative fragment of the word. By taking the snapshot instead of the whole, the value space of lexical features can be significantly reduced. From the perspective of machine learning, a small space of feature values implies a loss of information but less data-spareness and less unseen data. The snapshot of words can be taken by using the word folding technique, the goal of which is to reduce the value space of lexical features while minimizing the loss of information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brill, E.: Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging. Computational Linguistics 21(4), 543–565 (1995)
Daelamans, W.: Memory-Based Language Processing. Introduction to the Special Issue. Journal of Experimental and Theoretical AI 11(3), 287–292 (1999)
Charniak, E.: Eauqtions for part-of-speech tagging. In: Proceedings of the Eleventh National Conference on Artificial Intelligence, pp. 784–789 (1993)
Berger, A., Pietra, S.D., Pietra, V.D.: A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics 22(1), 39–71 (1996)
Vapnik, V.: Statistical Learning Theory. John Wiley and Sons Inc., New York (1998)
Porter, M.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)
Marcus, M., Santorini, B., Marcinkiewicz, M.A.: Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics 19(2), 310–330 (1993)
Kim, J.-D., Ohta, T., Tateisi, Y., Tsujii, J.: GENIA corpus – a semantically annotated corpus for bio-textmining. Bioinformatics 19(suppl.), i180–i182 (2003)
Tjong, E.F., Sang, K.: Representing Text Chunks. In: Proceedings of 19th Conference of the European Chapter of the Association for Computational Linguistics, pp. 173–179 (1999)
Kim, J.-D., Rim, H.-C., Tsujii, J.: Self-Organizing Markov Models and Their Application to Part-of-Speech Tagging. In: Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pp. 296–302 (2003)
Quinlan, R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, JD., Tsujii, J. (2005). Word Folding: Taking the Snapshot of Words Instead of the Whole. In: Su, KY., Tsujii, J., Lee, JH., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2004. IJCNLP 2004. Lecture Notes in Computer Science(), vol 3248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30211-7_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-30211-7_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24475-2
Online ISBN: 978-3-540-30211-7
eBook Packages: Computer ScienceComputer Science (R0)