The Excitement Open Platform for Textual Inferences

被引：0
|
作者：
Magnini, Bernardo [1 ]
Zanoli, Roberto [1 ]
Dagan, Ido [4 ]
Eichler, Kathrin [3 ]
Neumann, Guenter [3 ]
Noh, Tae-Gil [2 ]
Pado, Sebastian [2 ]
Stern, Asher [4 ]
Levy, Omer [4 ]
机构：
[1] FBK, Trento, Italy
[2] Stuttgart Univ, Stuttgart, Germany
[3] DFKI, Kaiserslautern, Germany
[4] Bar Ilan Univ, Ramat Gan, Israel
来源：
PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS | 2014年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches. The EOP is distributed as an open source software.
引用
收藏
页码：43 / 48
页数：6
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