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Sentence similarity calculation plays an important role in text processing-related research. Many unsupervised techniques such as knowledge-based techniques, corpus-based techniques, string similarity based techniques, and graph alignment techniques are available to measure sentence similarity. However, none of these techniques have been experimented with Tamil. In this paper, we present the first-ever...
Communities of learning face two major problems for his development, low quality and quantity of participation and information overload due to high amount of participation. These two problem can be solved by giving instant feedback and ordering the data available in the online environment. This work presents an automatic method to evaluate and quantificate participation in order to score messages...
Verbal fluency tests (VFTs) are widely used frontal lobe neuropsychological tests. They have been frequently used in various functional brain mapping studies. There are two versions of VFTs based on the type of cue: the letter fluency task (LFT) and the category fluency task (CFT). However, the fundamental aspects of brain connectivity across the frontotemporal regions during the VFTs have not been...
Fuzzy sentence semantic similarity measures are designed to be applied to real world problems where a computer system is required to assess the similarity between human natural language and words or prototype sentences stored within a knowledge base. Such measures are often developed for a specific corpus/domain where a limited set of words and sentences are evaluated. As new “fuzzy” measures are...
Semantic similarity is an essential component of numerous applications in fields such as natural language processing, artificial intelligence, linguistics, and psychology. Most of the reported work has been done in English. To the best of our knowledge, there is no word similarity measure developed specifically for Arabic. This paper presents a method to measure the semantic similarity between two...
What users expect of a robot strongly influences their ratings of the interaction. If the robot satisfies the expectations, the users are usually pleased. If not, their experience of the interaction is negative. We as robot designers strive to design for positive interaction experiences. Therefore, users' expectations need to be taken into account. However, in this paper we argue that not all expectations...
Satisfaction is a key indicator of system success, and so has been the subject of much IS research. The nostalgia effect, whereby individuals feel satisfied or dissatisfied when thinking about past goal attainment or failure, has been observed to influence analysts' decisions with respect to ongoing systems development. The Yield Shift Theory (YST) of Satisfaction offers an explanation for the nostalgia...
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