There is a range of large knowledge bases, such as Freebase and DBpedia, as well as linked data sets available on the web, but they typically lack lexical information stating how the properties and classes they comprise are realized lexically.
The psychologists hypothesized that a critical ability underlying intelligence is the rapid retrieval of lexical information, such as letter names, from memory.
Such features are based in lexical information, syntactic and NER.
In addition, Machine Translation is applied to enrich the resource with lexical information for all languages.
This performance degradation is due to the impossibility of using lexical information.
Corresponding interaction strategies for geometric, topological, geographic and lexical information are likewise required.
We describe a theory of lexical semantics making use of a knowledge representation framework that offers a richer, more expressive vocabulary for lexical information.
Rather, the data are consistent with an account in which N400 reduction reflects facilitated access of lexical information.
This finding suggests that errors occur at a level at which lexical information about the target is activated and retrieved.
The most advanced device for imposing structure on lexical information is that of inheritance, both at the object (lexical items) and meta (lexical concepts) levels of lexicon.
Most useful feature sets include lexical information and various linguistic/semantic parser outputs [1, 2, 15, 23, 38].
