We address the problem of generating adjectives in a text generation system. We distinguish between usages of adjectives informing the hearer of a property of an object and usages expressing an intention of the speaker, or an argumentative orientation. For such argumentative usages, we claim that a generator cannot simply map from information in the knowledge base to adjectives. Instead, we ide...

This paper presents the integration of a largescale, reusable lexicon for generation with the FUF/SURGE unification-based syntactic realizer. The lexicon was combined from multiple existing resources in a semi-automatic process. The integration is a multi-step unification process. This integration allows the reuse of lexical, syntactic, and semantic knowledge encoded in the lexicon in the devel...

This paper discusses the development of a database and an interactive data visualizat ion of Arizona aerospace and defense suppliers. The paper also summarizes key results of a survey of those companies focusing on their strategic competitiveness and next generation manufacturing (NGM) read iness.The survey categories included: company demographics, supply chain management, global engagement, s...

purpose: the aim of this study is to analyze the theoretical foundations, the concept, documentation history, steps and the procedure of documentation of knowledge on the basis of life cycle of organizational knowledge and the introduction of automatic and semi-automatic operational strategies of the extraction of tacit knowledge and coding or the representation of explicit knowledge. methodolo...

Pathway analysis has become the first choice for gaining insight into the underlying biology of differentially expressed genes and proteins, as it reduces complexity and has increased explanatory power. We discuss the evolution of knowledge base-driven pathway analysis over its first decade, distinctly divided into three generations. We also discuss the limitations that are specific to each gen...

ing challenge. In a typical advanced high school or introductory college biology course, a student is expected to learn about 5000 concepts and several hundred thousand new relationships among them.1 Science textbooks are difficult to read and yet there are few alternative resources for study. Despite the great need for science graduates, too few students are willing to study science and many d...

A module for generation of referring expressions (GRE) derives descriptions that identify specified entities in context. In the implemented system I describe here for specifying simple cases of GRE by example, system-builders pair entities with descriptions of them that would be satisfactory for a system to use in context. Automatic methods then construct a suitable knowledge base and context s...

This paper presents an environment that supports the production of instructions, exploiting methodologies and technologies from Human-Computer-Interaction, Natural Language Processing and Software Engineering. In this environment, instructions are automatically generated from task models. The environment includes an interactive tool to build task models, an extensible set of knowledge acquisiti...

Being able to access knowledge bases in an intuitive way has been an active area of research over the past years. In particular, several question answering (QA) approaches which allow to query RDF datasets in natural language have been developed as they allow end users to access knowledge without needing to learn the schema of a knowledge base and learn a formal query language. To foster this r...

We have begun to see the emergence of large-scale knowledge bases that house tens of thousands of facts encoded in expressive representational languages. The richness of these representations ooer the promise of signiicantly improving the quality of natural language generation, but their repre-sentational complexity, scale, and task-independence pose great challenges to generators. We have desi...