Sentence examples for semantic maps from inspiring English sources

Most of the previous studies devoted to allocating words in space based on their meaning, including Latent Semantic Analysis (LSA: [4]) and related techniques [5], focused on this aspect of word semantics, resulting in domain-specific semantic maps.

Its semantic maps serve in the reorganization, enrichment and consolidation of heterogeneous thematic metadata.

We start by defining a specific type of semantic maps, which integrates hierarchical spatial information and semantic knowledge.

We define extra strong semantic maps (and extra strong computing in general) as those that go beyond human capabilities.

Similarly, the semantic maps of Chinese zai and you can also be shown as below (Figs. 22 23).

The applications involving semantic maps are also outlined in the work at hand, emphasizing on human interaction, knowledge representation and planning.

Although the constructed semantic map reveals definitive semantics in each of its significant principal components, the vector associated with every word in the map should be interpreted as a "noisy" measure rather than an exact set of numerical values.

We propose in this paper a semantic mapping approach to associate business semantics to the resources during their search.

Another case is Haspelmath (1997), a canonical semantic map study on the syntax and semantics of indefinite pronouns.

To build a metric system for the semantics of words means to allocate words in a metric space based on their semantics, i.e., to create a semantic map of words.

A key issue in the analysis of the constructed semantic map is the assignment of clearly recognizable semantics, if any, to each of the significant principal components, which are all geometrically orthogonal to each other.