Composition and decomposition of Japanese Katakana and Kanji morphemes for decision rule induction from patent documents

ADCS 2010 - Proceedings of the Fifteenth Australasian Document Computing Symposium

Volumn , Issue , 2010, Pages 28-35

  Yasukawa, Michiko ^a   Yokoo, Hidetoshi ^a  

^a GUNMA UNIVERSITY   (Japan)

Author keywords

Information retrieval; Natural Language Techniques and Documents

Indexed keywords

DECISION RULE INDUCTION; DECISION RULES; INITIAL STAGES; KATAKANA; MORPHOLOGICAL ANALYSIS; MORPHOLOGICAL ANALYZER; NATURAL LANGUAGE TECHNIQUES; PATENT CLASSIFICATIONS; PATENT DOCUMENTS; RULE INDUCTION; WORD LISTS; WORD SEGMENTATION;

INFORMATION RETRIEVAL;

COMPUTATIONAL LINGUISTICS;

EID: 84872848900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (20)

1. Apt́e, C., Damerau, F., Weiss, S.M., Automated Learning of Decision Rules for Text Categorization. ACM Trans. Inf. Syst. 12(3), 233-251 (1994)
2. Manning, C.D., Raghavan, P., Scḧutze, H., Introduction to Information Retrieval. Cambridge University Press. (2008)
3. Dale, R., Moisl, H., Somers, H., Handbook of Natural Language Processing. CRC Press. (2000)
4. ChaSen, http://chasen-legacy.sourceforge.jp/
5. Mecab, http://mecab.sourceforge.net/
6. Murawaki, Y., Kurohashi, S. Online acquisition of Japanese unknown morphemes using morphological constraints. EMNLP 08, pp. 429-437 (2008)
7. Nishimura, Y., Linguistic Innovations and Interactional Features of Casual Online Communication in Japanese. JCMC, vol.9, no.1 (2003)
8. Fujii, A., Iwayama, M., Kando, N., Overview of the Patent Retrieval Task at the NTCIR-6. Proc. NTCIR-6 Workshop Meeting, pp. 359-365 (2007)
9. WIPO, International Patent Classication (IPC). http://www.wipo.int/classifications/ipc/en/
10. Generic Engine for Transposable Association (GETA). http://geta.ex.nii.ac.jp/e/
11. Indurkhya, N., RIKTEXT, Rule Induction Kit for Text. http://www.data-miner.com/riktext.pdf (2004)
12. Weiss, S.M., Indurkhya, N., Zhang, T., Damerau, F.J., Text Mining Predictive Methods for Analyzing Unstructured Information. Springer. (2005)
13. Singhal, A., Buckley, C., Mitra, M., Pivoted Document Length Normalization. SIGIR 96, pp. 21-29 (1996)
14. Tseng, H., Chang, P., Galen, A., Jurafsky, D., Manning, C., A Conditional Random Field Word Segmenter. 4th SIGHAN Workshop on Chinese Language Processing. pp. 168-171 (2005)
15. Fuchun, P., Feng, F., McCallum, A., Chinese segmentation and new word detection using conditional random fields, COLING 04. pp. 562-568 (2004)
16. Alfonseca, E., Bilac, S., Pharies, S., German Decompounding in a Difficult Corpus, CICLing 08, pp. 128- 139 (2008)
17. Watanabe, Y., Murata, M., Takeuchi, M., Nagao, M., Document Classification Using Domain Specific Kanji Characters Extracted by X2 Method. COLING 96, pp. 794-799 (1996)
18. Ando, R. K. Lee, L., Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences. Natural Language Engineering 9 (2), 127-149 (2002)
19. Seki, K., Hattori, H., Uehara, K., Generating diverse katakana variants based on phonemic mapping. SIGIR 08, pp. 793-794 (2008)
20. Nakazawa, T., Kawahara, D., Kurohashi, S., Automatic Acquisition of Basic Katakana Lexicon from a Given Corpus. IJCNLP 05, pp. 682-693 (2005)