This paper presents a two-stage approach to summarizing multiple contrastive viewpoints in opinionated text. In the first stage, we use an unsupervised probabilistic approach to model and extract multiple viewpoints in text. We experiment with a variety of lexical and syntactic features, yielding significant performance gains over bag-of-words feature sets. In the second stage, we introduce Com...

For reverse-engineering software architectures, architectural viewpoints need to be defined in a way where all customer needs are considered. This paper presents a systematic, scenario-based approach for identifying customer-specific viewpoints. The approach was successfully applied in the Cobus II project to identify 11 customer-specific viewpoints for describing the architecture of a COBOL sy...

Proposed object-oriented approaches are still in an initial stage of investigation and are mainly limited to modelling CAD applications which manipulate ill-deened, evolving and multifaceted objects. In this paper , we argue in favour of a model, called CEDAR, which aims at easing the modelling process by endowing object-oriented approach with a viewpoint notion. keywords: object-oriented datab...

Political viewpoints identification (PVI) is a task in Natural Language Processing that takes political texts and recognizes the writer’s opinions towards matter. PVI reduces ambiguity by identifying underlying meaning clarifying bias margin along spectrum (bias leaning). Thus, even non-experts can better understand texts. For instance, they identify misinformation, bias, hidden agendas. In thi...