当“近代早期书籍”(early modern book)遇上“数字工具”,它们会发生怎样的化学反应?关于这一议题,目前的讨论集中在两个层面:“获取”和“文本”。文章以早期英语图书在线、福尔杰莎士比亚图书馆等机构的数字化馆藏为例,对上述两个议...当“近代早期书籍”(early modern book)遇上“数字工具”,它们会发生怎样的化学反应?关于这一议题,目前的讨论集中在两个层面:“获取”和“文本”。文章以早期英语图书在线、福尔杰莎士比亚图书馆等机构的数字化馆藏为例,对上述两个议题进行讨论。如果数字工具可以帮助我们拉远与书籍的距离,重新认识这一习以为常的事物,或许可以藉此学到一些意料之外的新知识。展开更多
In this work,an approach is proposed to acquire synonymous attribute phrases of named entities(NEs) from an online encyclopedia.Synonymous attribute phrases are the phrases that express the same attribute with differe...In this work,an approach is proposed to acquire synonymous attribute phrases of named entities(NEs) from an online encyclopedia.Synonymous attribute phrases are the phrases that express the same attribute with different surface forms for a class of NEs.Specifically,the proposed approach is composed of three stages.Firstly,the entries related to a given NE class are automatically selected from an online encyclopedia.Secondly,attribute phrases are extracted based on the statistics of phrase frequency.Thirdly,synonymous attributes are identified in a pairwise manner through a classification framework combining multiple features.The proposed approach is applied on Baidu Baike,a Chinese online encyclopedia,for four different NE classes.Experimental results show that the approach obtains an average precision of 74%and an average F-value of 65%for the four NE classes.In particular,thousands of synonymous attribute phrase pairs are acquired for each class,which demonstrates the effectiveness of the proposed approach.展开更多
文摘当“近代早期书籍”(early modern book)遇上“数字工具”,它们会发生怎样的化学反应?关于这一议题,目前的讨论集中在两个层面:“获取”和“文本”。文章以早期英语图书在线、福尔杰莎士比亚图书馆等机构的数字化馆藏为例,对上述两个议题进行讨论。如果数字工具可以帮助我们拉远与书籍的距离,重新认识这一习以为常的事物,或许可以藉此学到一些意料之外的新知识。
基金Supported by the National High Technology Research and Development Programme of China(No.2008AA01Z144)the National NaturalScience Foundation of China(No.61073126,61073129)
文摘In this work,an approach is proposed to acquire synonymous attribute phrases of named entities(NEs) from an online encyclopedia.Synonymous attribute phrases are the phrases that express the same attribute with different surface forms for a class of NEs.Specifically,the proposed approach is composed of three stages.Firstly,the entries related to a given NE class are automatically selected from an online encyclopedia.Secondly,attribute phrases are extracted based on the statistics of phrase frequency.Thirdly,synonymous attributes are identified in a pairwise manner through a classification framework combining multiple features.The proposed approach is applied on Baidu Baike,a Chinese online encyclopedia,for four different NE classes.Experimental results show that the approach obtains an average precision of 74%and an average F-value of 65%for the four NE classes.In particular,thousands of synonymous attribute phrase pairs are acquired for each class,which demonstrates the effectiveness of the proposed approach.
