Manual grading of students’ work takes a long time and it is stressful. Evaluator may be holistic or analytic, lenient non-lenient, experienced inexperienced; which leads to non-uniformity in the assessment. Therefore, essential do automated students' overcome human inadequacies through uniform assessment also, reduces workload evaluators. A novel automatic PowerPoint presentation skills using ...

Natural Language Processing (NLP) is the sub-field of Artificial Intelligence that represents and analyses human language automatically. NLP has been employed in many applications, such as information retrieval, processing automated answer ranking. Semantic analysis focuses on understanding meaning text. Among other proposed approaches, Latent Analysis (LSA) a widely used corpus-based approach ...

LiNGAM has been successfully applied to casual inferences of some real world problems. Nevertheless, basic LiNGAM assumes that there is no latent confounder of the observed variables, which may not hold as the confounding effect is quite common in the real world. Causal discovery for LiNGAM in the presence of latent confounders is a more significant and challenging problem. In this paper, we pr...

This study examines how differences in corpus size influence the accuracy of Latent Semantic Analysis (LSA) spaces and Latent Dirichlet Allocation (LDA) spaces in two tasks: a word association task and a vocabulary definition test. Specific optimizations were considered in building each semantic model. Initial results indicate that larger corpora lead to greater accuracy and that LDA probabilis...

In this paper we investigate how to identify initiation-response pairs in asynchronous, multi-threaded, multi-party conversations. We formulate the task of identifying initiation-response pairs as a pairwise ranking problem. A novel variant of Latent Semantic Analysis (LSA) is proposed to overcome a limitation of standard LSA models, namely that uncommon words, which are critical for signaling ...