This paper presents an analysis of customer choice criteria and multiple banking. In particular, the study presents an analysis of the relative importance of various choice criteria for main and secondary banks, highlights differences and considers marketing implications. A quantitative methodology incorporating 495 respondents is employed in the analysis. Findings show significant differences ...

Google results have been scrutinized over the years for what they privilege, be it surface web, powerful, optimized webpages, personalized and/or their own properties. For some time now, another type of returns also has source attention: offensive result. The following revisits a selection and other problematic found by journalists researchers alike. In technique termed ‘algorithmic probing’, p...

Existing temporal action detection (TAD) methods rely on large training data including segment-level annotations, limited to recognizing previously seen classes alone during inference. Collecting and annotating a set for each class of interest is costly hence unscalable. Zero-shot TAD (ZS-TAD) resolves this obstacle by enabling pre-trained model recognize any unseen classes. Meanwhile, ZS-TAD a...

Many employment barriers exist for people with cognitive disabilities [1-5]. However, one of the most significant barriers is support for learning tasks associated with a specific job [4-7]. Challenges for many individuals with cognitive disabilities include difficulties reading instructions, following directions, memory, attention, and more. Recent literature indicates that individuals with co...

Document-level event argument extraction (DEAE) aims to identify the arguments corresponding roles of a given type in document. However, scattering and overlapping make DEAE face great challenges. In this paper, we propose novel model called Role Knowledge Prompting for Document-Level Event Argument Extraction (RKDE), which enhances interaction between templates through role knowledge guidance ...