It would be useful to enable dialogue agents to project, through linguistic means, their individuality or personality. Equally, each member of a pair of agents ought to adjust its language (to a greater or lesser extent) to match that of its interlocutor. We describe CRAG, which generates dialogues between pairs of agents, who are linguistically distinguishable, but able to align. CRAG-2 makes use of OPENCCG and an over-generation and ranking approach, guided by a set of language models covering both personality and alignment. We illustrate with examples of output, and briefly note results from user studies with the earlier CRAG-1, indicating how CRAG-2 will be further evaluated. Related work is discussed, along with current limitations and future directions.

Since its inception in 2012, the Minitrack on Knowledge Economics at the Hawaii InternationalConference on System Sciences (HICSS) has attracted an increasing amount of high-quality contribution. The combination of adequate marketing measures and being a topic that is continuously gaining importance led to the current standing of the HICSS Minitrack. In this paper, we analyze the content and methodology of the accepted submissions. Further on, upcoming research questions are raised. The main purpose of this work is to present the current status of the research on Knowledge Economics while also offering other scholars a solid foundation for future research projects.

Previous work on the induction of selectional preferences has been mainly carried out for English and has concentrated almost exclusively on verbs and their direct objects. In this paper, we focus on class-based models of selectional preferences for German verbs and take into account not only direct objects, but also subjects and prepositional complements. We evaluate model performance against human judgments and show that there is no single method that overall performs best. We explore a variety of parametrizations for our models and demonstrate that model combination enhances agreement with human ratings.

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The International Journal of Knowledge Management (IJKM) has continuously attracted high-quality contributions. The combination of proper journal management and marketing led to the ongoing success of the journal. Within this contribution, we analyze the content of 176 papers published from 2005 until 2013. Furthermore, the authors raise upcoming research questions. The main goal of this work is to present the current status of the research on Knowledge Management, while offering other scholars a robust basis for future research endeavors.