A reader’s perception of even an “objective” text is to some degree subjective. We present the results of a pilot study in which we looked at the degree of subjectivity in readers’ perceptions of lexical semantic relations, which are the building blocks of the lexical chains used in many applications in natural language processing. An example is presented in which the subjectivity reflects the ...

Experts classifications of spatial data are strongly affected by subjectivity and rigidity of rules. They do not take into account, in a quantitative way, the overlap of classes and as a major consequence, their classifications are often not reproducibles. To overcome this subjectivity, exploratory techniques can suggest a coherent set of rules that will produce suitable polythetic and overlapp...

Reputation systems bear some challenging problems where buyers have different subjectivity in evaluating their experience with sellers and they may not have incentives to share their experience. In this paper, we propose a novel reputation system based on dynamic coalition formation where buyers with similar subjectivity and rich experience will be awarded virtual credits for helping others fin...

In an earlier paper (Redmill 2002) risk analysis was defined as comprising four stages scope definition, hazard identification, hazard analysis, and risk assessment. In the first stage, the scope and terms of reference of the analysis are defined. In the second, the hazards that could lead to breaches of safety are identified. In the third, the risks associated with the hazards are determined, ...

In this research we aim to detect subjective sentences in multimodal conversations. We introduce a novel technique wherein subjective patterns are learned from both labeled and unlabeled data, using n-gram word sequences with varying levels of lexical instantiation. Applying this technique to meeting speech and email conversations, we gain significant improvement over state-of-the-art approache...