Iron Maiden is one of the leading bands of the New Wave of British Heavy Metal （NWoBHM）. The song lyrics of the first three albums deal, among other things, with the usual topics the youth of the time were concerned...Iron Maiden is one of the leading bands of the New Wave of British Heavy Metal （NWoBHM）. The song lyrics of the first three albums deal, among other things, with the usual topics the youth of the time were concerned with （love, rebellion and resistance against the establishment）, although they were viewed from a different angle： instead of love the lyrics talk about prostitution （Charlotte the Harlot）, sexual harassment （Prowler）, and juvenile criminality （Running Free）. This paper aims, on the one hand to show an overview of the topics of the song lyrics from the earlier Iron Maiden albums, and on the other hand to examine the concrete consequences the lyrics had on the music of the band （text interpretation）. During the 1980s, Iron Maiden began to diverge both musically （in the direction of experimental heavy metal） and thematically （among others, science fiction and war） from the NWoBHM. A further aim of this paper is to examine how much these new themes in the narrative influenced the music of Iron Maiden.展开更多
In this paper we propose a multiple feature approach for the normalization task which can map each disorder mention in the text to a unique unified medical language system（UMLS）concept unique identifier（CUI）. We d...In this paper we propose a multiple feature approach for the normalization task which can map each disorder mention in the text to a unique unified medical language system（UMLS）concept unique identifier（CUI）. We develop a two-step method to acquire a list of candidate CUIs and their associated preferred names using UMLS API and to choose the closest CUI by calculating the similarity between the input disorder mention and each candidate. The similarity calculation step is formulated as a classification problem and multiple features（string features,ranking features,similarity features,and contextual features） are used to normalize the disorder mentions. The results show that the multiple feature approach improves the accuracy of the normalization task from 32.99% to 67.08% compared with the Meta Map baseline.展开更多
文摘Iron Maiden is one of the leading bands of the New Wave of British Heavy Metal （NWoBHM）. The song lyrics of the first three albums deal, among other things, with the usual topics the youth of the time were concerned with （love, rebellion and resistance against the establishment）, although they were viewed from a different angle： instead of love the lyrics talk about prostitution （Charlotte the Harlot）, sexual harassment （Prowler）, and juvenile criminality （Running Free）. This paper aims, on the one hand to show an overview of the topics of the song lyrics from the earlier Iron Maiden albums, and on the other hand to examine the concrete consequences the lyrics had on the music of the band （text interpretation）. During the 1980s, Iron Maiden began to diverge both musically （in the direction of experimental heavy metal） and thematically （among others, science fiction and war） from the NWoBHM. A further aim of this paper is to examine how much these new themes in the narrative influenced the music of Iron Maiden.
基金Supported by the National Natural Science Foundation of China(61133012,61202193,61373108)the Major Projects of the National Social Science Foundation of China(11&ZD189)+1 种基金the Chinese Postdoctoral Science Foundation(2013M540593,2014T70722)the Open Foundation of Shandong Key Laboratory of Language Resource Development and Application
文摘In this paper we propose a multiple feature approach for the normalization task which can map each disorder mention in the text to a unique unified medical language system（UMLS）concept unique identifier（CUI）. We develop a two-step method to acquire a list of candidate CUIs and their associated preferred names using UMLS API and to choose the closest CUI by calculating the similarity between the input disorder mention and each candidate. The similarity calculation step is formulated as a classification problem and multiple features（string features,ranking features,similarity features,and contextual features） are used to normalize the disorder mentions. The results show that the multiple feature approach improves the accuracy of the normalization task from 32.99% to 67.08% compared with the Meta Map baseline.
