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Current Result Document :
3
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ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
È¥ÇÕ Ä¿³ÎÀ» È°¿ëÇÑ °úÇбâ¼úºÐ¾ß ¿ë¾î°£ °ü°è ÃßÃâ
¿µ¹®Á¦¸ñ(English Title)
Extraction of Relationships between Scientific Terms based on Composite Kernels
ÀúÀÚ(Author)
ÃÖ¼ºÇÊ
ÃÖÀ±¼ö
Á¤Ã¢ÈÄ
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Sungpil Choi
Yunsoo Choi
Changhoo Jeong
Sunghyon Myaeng
¿ø¹®¼ö·Ïó(Citation)
VOL 15 NO. 12 PP. 0988 ~ 0992 (2009. 12)
Çѱ۳»¿ë
(Korean Abstract)
º» ³í¹®¿¡¼´Â ÇÕ¼º°ö ±¸¹® Æ®¸® Ä¿³Î(convolution parse tree kernel)°ú, ÇÑ ¹®Àå¿¡¼ ³ªÅ¸³ª´Â µÎ °³Ã¼ °£ÀÇ °ü°è¸¦ °¡Àå Àß ¼³¸íÇÏ´Â µ¿»ç »ó´ç¾î±¸¿¡ ´ëÇÑ °³³äȸ¦ ÅëÇØ »ý¼ºµÇ´Â ¿öµå³Ý ½Å¼Â º¤ÅÍ(WordNet synsets vector) Ä¿³ÎÀ» È°¿ëÇÏ¿© °úÇбâ¼úºÐ¾ß Àü¹®¿ë¾î °£ÀÇ °ü°è ÃßÃâÀ» ½ÃµµÇÏ¿´´Ù. º» ³í¹®¿¡¼ Àû¿ëÇÑ ¸ðµ¨ÀÇ ¼º´É Æò°¡¸¦ À§Çؼ ¼¼ °¡Áö °ËÁõ Ä÷º¼ÇÀ» È°¿ëÇÏ¿´À¸¸ç, °¢°¢ÀÇ Ä÷º¼Ç ¸¶´Ù ±âÁ¸ÀÇ Á¢±Ù ¹æ¹ý·Ð º¸´Ù ¿ì¼öÇÑ ¼º´ÉÀ» º¸¿©ÁÖ¾ú´Ù. ƯÈ÷ KREC 2008 Ä÷º¼ÇÀ» ´ë»óÀ¸·Î ÇÑ ¼º´É ½ÇÇè¿¡¼´Â, ±âÁ¸ÀÇ ÇÕ¼º°ö ±¸¹® Æ®¸® Ä¿³Î°ú µ¿»ç ½Å¼Â º¤ÅÍ(verb synsets vector)¸¦ ÇÔ²² Àû¿ëÇÑ ÇÕ¼º Ä¿³ÎÀÌ ºñ±³Àû ³ôÀº ¼º´É Çâ»ó(8% F1)À» ³ªÅ¸³»°í ÀÖ´Ù. ÀÌ´Â ¼º´ÉÀ» ³ôÀ̱â À§Çؼ °ü°è ÃßÃâ¿¡¼ ¸¹ÀÌ È°¿ëÇÏ¿´´ø °³Ã¼ ÀÚÁú Á¤º¸¿Í ´õºÒ¾î °³Ã¼ ÁÖº¯¿¡ Á¸ÀçÇÏ´Â ÁÖº¯ ¹®¸Æ Á¤º¸(µ¿»ç ¹× µ¿»ç »ó´ç¾î±¸)µµ ¸Å¿ì À¯¿ëÇÑ Á¤º¸ÀÓÀ» ÀÔÁõÇÏ°í ÀÖ´Ù.
¿µ¹®³»¿ë
(English Abstract)
In this paper, we attempted to extract binary relations between terminologies using composite kernels consisting of convolution parse tree kernels and WordNet verb synset vector kernels which explain the semantic relationships between two entities in a sentence.
In order to evaluate the performance of our system, we used three domain specific test collections. The experimental results demonstrate the superiority of our system in all the targeted collection. Especially, the increase in the effectiveness on KREC 2008, 8% in F1, shows that the core contexts around the entities play an important role in boosting the entire performance of relation extraction.
Å°¿öµå(Keyword)
°ü°è ÃßÃâ
Ä¿³Î ±â¹ý
È¥ÇÕ Ä¿³Î
ÇÕ¼º°ö ±¸¹® Æ®¸® Ä¿³Î
¿öµå³Ý ½Å¼Â Ä¿³Î
±â°è ÇнÀ
Relation Extraction
Kernel Methods
Composite Kernel
Convolution Parse Tree Kernel
ordNet Synset Kernel
Machine Learning
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