Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Ä¿³Î Ripple-Down RuleÀ» ÀÌ¿ëÇÑ ÅÂ±ë ¸»¹¶Ä¡ ¿À·ù ÀÚµ¿ ¼öÁ¤ |
¿µ¹®Á¦¸ñ(English Title) |
Automatic Correction of Errors in Annotated Corpus Using Kernel Ripple-Down Rules |
ÀúÀÚ(Author) |
¹ÚÅÂÈ£
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Tae-Ho Park
Jeong-Won Cha
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¿ø¹®¼ö·Ïó(Citation) |
VOL 43 NO. 06 PP. 0636 ~ 0644 (2016. 06) |
Çѱ۳»¿ë (Korean Abstract) |
ÀÚ¿¬¾î󸮿¡¼ ±â°èÇнÀÀ» À§ÇÑ ÇнÀ ¸»¹¶Ä¡´Â ¸Å¿ì Áß¿äÇÏ´Ù. Á¤Á¦µÈ ´ë·®ÀÇ ¸»¹¶Ä¡´Â ÀÚ¿¬¾îó¸® ½Ã½ºÅÛ¿¡ Á÷Á¢ ¿µÇâÀ» ÁØ´Ù. º» ³í¹®¿¡¼´Â ´ë·®ÀÇ ¸»¹¶Ä¡ ¿À·ù¸¦ ÀÚµ¿À¸·Î ¼öÁ¤ÇÏ´Â »õ·Î¿î ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ¿À·ù ¸»¹¶Ä¡¿Í Á¤´ä ¸»¹¶Ä¡¿¡¼ »ç¶÷ÀÌ Å±ëÇÑ ¹®¼ÀÇ Æ¯¼ºÀ» ¹Ý¿µÇÑ ¼öÁ¤ ±ÔÄ¢À» ÀÚµ¿À¸·Î »ý¼ºÇÏ¿´´Ù. ¼öÁ¤ ±ÔÄ¢Àº RDR(Ripple-Down Rules)À» »ç¿ëÇÏ¿© Ç¥ÇöÇÏ¿´´Ù. ¼öÁ¤ ¹æ¹ýÀÇ °¡Ä¡¸¦ º¸À̱â À§ÇØ Ç°»ç ºÎÂø ¸»¹¶Ä¡¿Í °³Ã¼¸í ºÎÂø ¸»¹¶Ä¡¿¡ ´ëÇؼ ½ÇÇèÇÏ¿´À¸¸ç µÎ ºÐ¾ß¿¡¼ À¯ÀǹÌÇÑ °á°ú¸¦ º¸¿´´Ù. ÀÌ ¹æ¹ýÀº ´ë·®ÀÇ ¸»¹¶Ä¡¸¦ Á¦ÀÛÇÒ ¶§ ¿À·ù¸¦ ÃÖ¼ÒÈÇÏ´Â ¹æ¹ýÀ¸·Î »ç¿ëÀÌ °¡´ÉÇÏ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Annotated Corpus is important to understand natural language using machine learning method. In this paper, we propose a new method to automate error reduction of annotated corpora. We use the Ripple-Down Rules(RDR) for reducing errors and Kernel to extend RDR for NLP. We applied our system to the Korean Wikipedia and blog corpus errors to find the annotated corpora error type. Experimental results with various views from the Korean Wikipedia and blog are reported to evaluate the effectiveness and efficiency of our proposed approach. The proposed approach can be used to reduce errors of large corpora. |
Å°¿öµå(Keyword) |
ÇüÅ ºÐ¼® ¸»¹¶Ä¡
¿À·ù ¼öÁ¤
Ä¿³Î RDR
ÀÚ¿¬¾îó¸®
morphological annotation corpora
error correction
kernel RDR
natural language processing
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