A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
A computationally relevant theory of lexical semantics must take into consideration both the form and the content of three different static knowledge sources -- the lexicon, the o...
: Noncanonical semantic representations are representations which cannot be derived by some grammar G although they are semanticMly equivalent to representations which can be deriv...
Diagrammatic methodologies for the representation of agent interaction protocols can be classified as joint representations that describe an interaction in terms of a single sequ...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...