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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)

Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¹®Çü Á¤º¸¸¦ ÀÌ¿ëÇÑ ±ÔÄ¢ ±â¹Ý Çѱ¹¾î ÀÇÁ¸±¸¹®ºÐ¼®
¿µ¹®Á¦¸ñ(English Title) Rules-based Korean Dependency Parsing Using Sentence Pattern Information
ÀúÀÚ(Author) ±è¼ºÅ   ±è¹ÎÈ£   ±èÇö¾Æ   ±ÇÇõö   Sung-Tae Kim   Minho Kim   Hyuna Kim   Hyuk-Chul Kwon  
¿ø¹®¼ö·Ïó(Citation) VOL 47 NO. 05 PP. 0488 ~ 0495 (2020. 05)
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(Korean Abstract)
º» ³í¹®¿¡¼­ Á¦¾ÈÇÏ´Â ±¸¹®ºÐ¼®±â´Â ¹®Àå¿¡¼­ ³ª¿À´Â ¸ðµç ÇüÅÂ¼Ò ºÐ¼® Èĺ¸¿¡ ÀÇÁ¸°ü°è¸¦ ºÎ¿©ÇÏ´Â ±¤¹üÀ§ ÀÇÁ¸±¸¹®ºÐ¼®±âÀÌ´Ù. ÁßÀǼºÀÌ ¹ß»ýÇÒ ¼ö ÀÖ´Â ¹®Àå¿¡ ´ëÇØ ³ª¿À´Â ¸ðµç Èĺ¸ ±¸¹®ºÐ¼® Æ®¸®¸¦ Ãâ·ÂÇÏ¸ç ±ÔÄ¢À» ÅëÇØ ¼øÀ§È­¸¦ ÁøÇàÇÑ´Ù. agenda mechanismÀ» ÀÌ¿ëÇÑ Â÷Æ® ÆḺ̌â¹ýÀ¸·Î Áö¹è-ÀÇÁ¸°ü°è¸¦ Çü¼ºÇÏ°í ÀÔ·Â ¹®ÀåÀ¸·ÎºÎÅÍ 4´Ü°èÀÇ ±¸¹®ºÐ¼®°úÁ¤À» ÅëÇÏ¿© Èĺ¸Æ®¸®¸¦ »ý¼ºÇÑ´Ù. ¶ÇÇÑ ¹®Çü Á¤º¸ ¸»¹¶Ä¡ÀÇ ÀûÀýÇÑ »ç¿ëÀ» À§ÇØ ÀÌÀü ¿¬±¸ÀÇ ÇÑ°èÁ¡À» ±Øº¹ÇÑ ±ÔÄ¢°ú ¾Ë°í¸®ÁòÀ» ±¸ÇöÇÏ°í ¹®Çü Á¤º¸¸¦ ÅëÇØ Èĺ¸ ±¸¹®ºÐ¼® Æ®¸®ÀÇ ¼øÀ§È­¸¦ °­È­ÇÏ¿´´Ù. »Ó¸¸ ¾Æ´Ï¶ó ¼øÀ§È­°¡ ¾î·Á¿î [¸í»ç-°üÇü»ç±¸] ÀÚÁú¿¡ ´ëÇØ ¹®Çü Á¤º¸¸¦ »ç¿ëÇÏ¿© ¼øÀ§È­¸¦ °­È­ÇÏ¿´´Ù. ±× °á°ú, 1¼øÀ§ÀÇ ±¸¹® ºÐ¼® Æ®¸®¿¡ ´ëÇÑ UAS(unlabeled attachment score)°¡ 0.74%p Çâ»óµÇ¾ú°í, Èĺ¸Æ®¸®¿¡ ´ëÇÑ Æò±Õ Á¤´ä ¼øÀ§´Â 28.1%ÀÇ ¼º´ÉÇâ»óÀ» º¸¿´´Ù. ¶ÇÇÑ ÃÖ°í¼º´ÉÀº UAS 94.02%¸¦ º¸¿´´Ù
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(English Abstract)
The parser proposed in this paper is a wide range dependency parser that facilitates dependency r-elations to all the possible candidates appearing in sentences. Output a parse tree of all candidates appearing in a sentence in which neutrality can occur, and use the rules to advance the ranking. Use the agenda mechanism to form a dominance-dependency relationship with the graph analysis method and create a candidate tree from the input sentence through the four stages of the analysis process. Additionally, for the proper use of sentence pattern information corpus, we implemented rules and algorithms that overcome the limitations of previous studies and enhanced the ranking of candidate parse trees using the sentence pattern information. As well as difficulty in ranking the [noun - determiner] strengthened the ranking using sentence pattern information about qualities. As a result, the UAS (unlabeled attachment score) of the parse tree top-rank improved by 0.74%p, and the average correct ranking of the candidate tree improved by 28.1%. Additionally, the highest performance was UAS 94.02%.
Å°¿öµå(Keyword) ¹®Çü Á¤º¸   ±ÔÄ¢ ±â¹Ý   ÀÇÁ¸±¸¹®ºÐ¼®   ÁßÀǼº Ç¥Çö   sentence information   rule-based   dependency analysis   neutral expression  
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