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In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is...
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This volume deals with the computational application of systemic functional grammar (SFG) for natural language generation. In particular, it describes the implementation of a fragment of the grammar of German in the computational framework of KOMET-PENMAN for multilingual generation. The text also presents a specification of explicit well-formedness constraints on syntagmatic structure which are defined in the form of typed feature structures. It thus achieves a model of systemic functional grammar that unites both the strengths of systemics, such as stratification, functional diversification and the orientation to context, and the kind of syntactic generalizations that are typically found in modern, syntagmatically-focused computational grammars.
This proceedings volume gives an up-to-date overview of the most recent results in the field of plant molecular response to environmental constraints, especially heat, cold, water/drought, salt or light. It centers on molecular approaches in understanding the bases of plant tolerance to physical stresses, links among different environmental stresses, and the manipulation of gene expression by recombinant DNA technology to obtain tolerant transgenic plants.