搜索结果: 1-7 共查到“应用语言学 Representations”相关记录7条 . 查询时间(0.156 秒)
Expressive Power of Abstract Meaning Representations
Abstract grammatical meaning system translation logic current definition
2016/10/31
The syntax of abstract meaning representations (AMRs) can be defined recursively, and a systematic translation to first-order logic (FOL) can be specified, including a proper treatment of negation. AM...
With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using d...
Page’s proposal to stipulate representations in which individual units correspond to meaningful entities is too unconstrained to support effective theorizing. An approach combining general computation...
Given a network of simple computing elements and some entities to be represented, the most straightforward scheme is to use one computing element for each entity. This is called a local representation...
Do monkeys think in metaphors? Representations of space and time in monkeys and humans
Metaphor Time Space Monkeys Embodied cognition
2015/4/9
Research on the relationship between the representation of space and time has produced two contrasting proposals. ATOM posits that space and time are represented via a common magnitude system, suggest...
Identifying Object Categories from Event-Related EEG:Toward Decoding of Conceptual Representations
Object Categories EEG Toward Decoding Conceptual Representations
2015/4/8
Multivariate pattern analysis is a technique that allows the decoding of conceptual information such as the semantic category of a perceived object from neuroimaging data. Impressive single-trial clas...
Formation of Category Representations in Superior Temporal Sulcus
Category Representations Superior Temporal Sulcus
2015/4/8
The human brain contains cortical areas specialized in representing object categories. Visual experience is known to change the responses in these category-selective areas of the brain. However, littl...