Building a Large Lexical Databank Which Provides Deep Semantics

to word2vec on evaluation tasks while avoiding reliability problems we deem it the best currently available word embedding method for applying distributional semantics in the

A more implementation-oriented description of the process is the following: (i) analyze affixes by hand to gain fixed correspondences between affix and lexical

One is the conceptual similarity of the in- ternal representation and the target verb meaning, and the other is the degree of satisfaction of the selection restrictions

By developing core theories of several fundamental phenomena and defining lexical items within these theories, using the full power of predicate calculus, we are

ity (or an indistinguishability relation). The partial or- dering and the indistinguishability relation are consistent with each other. Cranking up the

'Word meaning between lexical and conceptual structure', by Pe- ter Gerstl; 'Lexical semantics and terminological knowledge representation', by Gerrit Burkert; 'A

tion can cluster a list of words which occur in exactly the same contextual structure and if the extreme case occurs, namely when the same context in all these equal consets with

1) some cases of enantiosemy are homographs, that is two words which used to be quite different in the past, but developed the same form in modern English. For instance, the