We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
We describe a bidirectional framework for natural language parsing and generation, using a typedfeatureformalismand an HPSG-based grammar with a parser and generator derived from ...
To ensure the re-use of domain ontologies the usual approach relies on a pivot language, e.g., Kif, intoandfromwhich the domainontologyis translated. This requires several distinc...
In this paper we present a logical treatment of semifree word order and bounded discontinuous constituency. We extend standard feature value logics to treat word order in a single...