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Finally, we extracted the candidates of morpheme sequence from the final part of Web article sentence, then we propose the combination of two methods for them in order to improve the extraction accuracy of the sets: 1) ranking based on frequency, branching factor and length of string, and 2) filtering to remove inappropriate expressions which eliminate semantically indispensable nouns.", "subitem_description_type": "Abstract"}]}, "item_2_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "106368", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Iwakoshi, Moritaka"}]}, {"nameIdentifiers": [{"nameIdentifier": "106369", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Masuda, Hidetaka"}]}, {"nameIdentifiers": [{"nameIdentifier": "106370", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Nakagawa, Hiroshi"}]}]}, "item_2_publisher_20": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": 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