Campana E, Tanenhaus M K, Allen J F, Remington R
Psychology Department, 699 S. Mill Avenue, Arizona State University, Tempe, AZ 85281, USA.
Brain and Cognitive Sciences, RC Box 270268, University of Rochester, Rochester, NY 14627, USA.
Nat Lang Eng. 2011 Jul 1;17(3):311-329. doi: 10.1017/S1351324910000227.
The generation of referring expressions is a central topic in computational linguistics. Natural referring expressions - both definite references like 'the baseball cap' and pronouns like 'it' - are dependent on discourse context. We examine the practical implications of context-dependent referring expression generation for the design of . Currently, not all spoken systems have the goal of generating natural referring expressions. Many researchers believe that the context-dependency of natural referring expressions actually makes systems usable. Using the dual-task paradigm, we demonstrate that generating natural referring expressions that are dependent on discourse context reduces cognitive load. Somewhat surprisingly, we also demonstrate that practice does not improve cognitive load in systems that generate consistent (context-independent) referring expressions. We discuss practical implications for spoken systems as well as other areas of referring expression generation.
指代表达式的生成是计算语言学中的一个核心话题。自然指代表达式——无论是像“棒球帽”这样的限定性指代还是像“它”这样的代词——都依赖于话语语境。我们研究了依赖语境的指代表达式生成在[此处原文似乎缺失具体内容]设计中的实际意义。目前，并非所有口语系统都以生成自然指代表达式为目标。许多研究人员认为，自然指代表达式的语境依赖性实际上会降低系统的可用性。使用双任务范式，我们证明生成依赖于话语语境的自然指代表达式会降低认知负荷。有点令人惊讶的是，我们还证明练习并不能改善生成一致（与语境无关）指代表达式的系统中的认知负荷。我们讨论了对口语系统以及指代表达式生成的其他领域的实际意义。
