Resolution of Data Sparseness in Named Entity Recognition Using Hierarchical Features and Feature Relaxation Principle.

MLA

Gelbukh, Alexander, et al. “Resolution of Data Sparseness in Named Entity Recognition Using Hierarchical Features and Feature Relaxation Principle.” Computational Linguistics & Intelligent Text Processing, 2005, pp. 750–61. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edo&AN=32975876&authtype=sso&custid=ns315887.

APA

Gelbukh, A., Guodong Zhou, Jian Su, & Lingpeng Yang. (2005). Resolution of Data Sparseness in Named Entity Recognition Using Hierarchical Features and Feature Relaxation Principle. In Computational Linguistics & Intelligent Text Processing (pp. 750–761).

Chicago

Gelbukh, Alexander, Guodong Zhou, Jian Su, and Lingpeng Yang. 2005. “Resolution of Data Sparseness in Named Entity Recognition Using Hierarchical Features and Feature Relaxation Principle.” In Computational Linguistics & Intelligent Text Processing, 750–61. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edo&AN=32975876&authtype=sso&custid=ns315887.