Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
Accurate prediction of demographic attributes from social media and other informal online content is valuable for marketing, personalization, and legal investigation. This paper d...
John D. Burger, John C. Henderson, George Kim, Gui...
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
In this paper, dynamic meta modeling is proposed as a new approach to the operational semantics of behavioral UML diagrams. The dynamic meta model extends the well-known static met...
Gregor Engels, Jan Hendrik Hausmann, Reiko Heckel,...
This paper describes some of the features of a sophisticated language and environment designed for experimentation with unification-oriented linguistic descriptions. The system, w...