Subjectivity is essential to consciousness. But though subjectivity is necessary for consciousness it is not sufficient. In part one I derive a distinction between conscious awareness and unconscious subjectivity from a critique of Block’s (1995) distinction between access and phenomenal consciousness. In part two I contrast two historically influential models of unconscious thought: cognitive ...

We address the issue of human subjectivity when authoring summaries, aiming at a simple, robust evaluation of machine generated summaries. Applying a cross comprehension test on human authored short summaries from broadcast news, the level of subjectivity is gauged among four authors. The instruction set is simple, thus there is enough room for subjectivity. However the approach is robust becau...

Subjectivity analysis has received increasing attention in natural language processing field. Most of the subjectivity analysis works however are conducted on single languages. In this paper, we propose to perform multilingual subjectivity analysis by combining multi-view learning and AdaBoost techniques. We aim to show that by boosting multi-view classifiers we can develop more effective multi...

It is no more useful for researchers to acknowledge simply that subjectivity is an invariable component of their research than it is for them to assert that their ideal is to achieve objectivity. Acknowledgments and assertions are not sufficient. Beginning with the premise that subjectivity is inevitable, this paper argues that researchers should systematically seek out their subjectivity, not ...

Student academic performance prediction is one of the important works in teaching management, which can realize accurate scientific and personalized learning by mining features affecting accurately predicting academic. Due to subjectivity feature extraction randomness hyperparameters, accuracy needs be improved. Therefore, order improve prediction, an method based on Feature Engineering ensembl...

Learner corpora are receiving special attention as an invaluable source of educational feedback and are expected to improve teaching materials and methodology. However, they include various types of incorrect sentences. Error type classification is an important task in learner corpora which enables clarifying for learners why a certain sentence is classified as incorrect in order to help learne...

This paper presents the open learner modelling capabilities offered by an adaptive web testing tool. Adaptation decisions are based on user customizable compound rules requiring the identification of several learner characteristics which are then displayed graphically and textually to learners and educators. The open learner modelling capabilities include anonymous access to models of peers and...

Learner-centered education becomes more and more popular. One way of offering learner-centered education is to have assignments where learners can select from a pool of learning tasks with different difficulty levels (e.g., many easy tasks, few challenging tasks, etc.). However, a problem that learners can face in such assignments is to select the tasks that are most appropriate for them. In th...

Three potential sources of comprehensible input for second language acquisition are examined: Modified Input, Interactionally Modified Input and Modified Output. To this end, an attempt is made to closely investigate how each type of linguistic environment facilitates learner comprehension, and subsequently, acquisition. Different theoretical claims as well as a number of empirical studies are ...