|
|
|
|
|
Morteza Karimzadeh and Alan M. MacEachren
Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP). However, only a few relatively small (geo-)annotated dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liping Yang, Alan M. MacEachren, Prasenjit Mitra and Teresa Onorati
|
|
|
|
|
|
|
|
|
|
|
Raechel A. Bianchetti and Alan M. MacEachren
|
|
|
|
|
|
|
|
|
|
|
Jonathan K. Nelson, Sterling Quinn, Brian Swedberg, Wanghuan Chu and Alan M. MacEachren
|
|
|
|
|
|
|
|
|
|
|
Robert E. Roth, Kevin S. Ross and Alan M. MacEachren
|
|
|
|
|
|
|
|
|
|
|
Sharma, R. Yeasin, M. Krahnstoever, N. Rauschert, I. Cai, G. Brewer, I. MacEachren, A. M. Sengupta, K.
Pág. 1327 - 1354
|
|
|
|
|
|