第7åèªç¶è¨èªå¦çåå¼·ä¼ã§ææ¸è¦ç´ã«é¢ããã話ãããã¦ããã ãã¾ããããã®éã«ç¨ãã¾ããã¹ã©ã¤ããå ¬éãã¾ããä»åã¯å ¥éç·¨ï¼åç´ç·¨ï¼ãªã®ã§ããã®ãã¡ä¸ç´ç·¨ãããããããã¾ããã Introduction to Automatic Summarization View more presentations from Hitoshi NISHIKAWA æ¯åãã¹ã©ã¤ãã®ã¬ã¤ã¢ã¦ãããããããªã£ã¦ãã¾ããããä»åã¯pdfã«å¤æãã¦ã¢ãããã¼ããã¾ãããããããã°è¯ãã£ãã®ã§ãããä»åã¯ã¬ã¤ã¢ã¦ããä¹±ãã¦ããªãã¯ãã§ããéå»ã®ã¹ã©ã¤ããpdfåãã¦ã¢ãããã¼ãããªããã¤ããã§ãã æ¬¡ã¯ã°ã¼ã°ã«ã«ããã¶ã¬ãããµã¼ãã¤è²·åã®è©±ããNLPè¥æã®ä¼ç¬¬6åã·ã³ãã¸ã¦ã ã®è©±ãæ¸ãã¾ãã
MEAD MEAD is the most elaborate publicly available platform for multi-lingual summarization and evaluation.The platform implements multiple summarization algorithms such as position-based, centroid-based, largest common subsequence, and keywords. The methods for evaluating the quality of the summaries are both intrinsic and extrinsic. MEAD implements a battery of summarization algorithms, includin
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