Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
An optimally working mobile system requires tight cooperation and an information stream that flows impeccably between its components. This, however, is not the current state of t...
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
This paper describes an annotation guideline for a temporal relation-tagged corpus of Chinese. Our goal is construction of corpora to be used for a corpus-based analysis of tempor...
Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern abstraction mechanisms in legacy languages, as well as the gradual dete...