The PASCAL recognising textual entailment challenge

被引:0
|
作者
Dagan, Ido [1 ]
Glickman, Oren
Magnini, Bernardo
机构
[1] Bar Ilan Univ, IL-52900 Ramat Gan, Israel
[2] IRST, ITC, I-38100 Trento, Italy
来源
MACHINE LEARNING CHALLENGES: EVALUATING PREDICTIVE UNCERTAINTY VISUAL OBJECT CLASSIFICATION AND RECOGNIZING TEXTUAL ENTAILMENT | 2006年 / 3944卷
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 describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark(1). The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This application-independent task is suggested as capturing major inferences about the variability of semantic expression which are commonly needed across multiple applications. The Challenge has raised noticeable attention in the research community, attracting 17 submissions from diverse groups, suggesting the generic relevance of the task.
引用
收藏
页码:177 / 190
页数:14
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