Phosphorylation of the H2AX protein is an early step in the double strand break (DSB) repair pathway; therefore, phosphorylated histone (γH2AX) foci scoring is widely used as a measure for DSBs. Foci scoring is performed either manually or semi-automatically using hand-operated capturing and image analysis software. In general, both techniques are laborious and prone to artifacts associated wit...

Ki67 is a commonly used marker of cancer cell proliferation, and has significant prognostic value in breast cancer. In spite of its clinical importance, assessment of Ki67 remains a challenge, as current manual scoring methods have high inter- and intra-user variability. A major reason for this variability is selection bias, in that different observers will score different regions of the same t...

Accuracy of content have not been fully utilized in the previous studies on automated speaking assessment. Compared to writing tests, responses in speaking tests are noisy (due to recognition errors), full of incomplete sentences, and short. To handle these challenges for doing content-scoring in speaking tests, we propose two new methods based on information extraction (IE) and machine learnin...

Automated Essay Scoring (AES) refers to the Artificial Intelligence (AI) application with “intelligence” in assessing and scoring essays. There are several well-known commercial AES adopted by western countries, as well many research works conducted investigating automated essay scoring. However, most of products not related Malaysian English test context. The tend score essays based on rubrics...

Traditional assessments of public speaking skills rely on human scoring. We report a n initial study on the development of an automated scoring model for public speaking performances using multimodal technologies. Task design, rubric development, and human rating were conducted according to standards in educational assessment. An initial corpus of 17 speakers with four speaking tasks was collec...

Since its 1947 founding, ETS has conducted and disseminated scientific research to support its products and services, and to advance the measurement and education fields. In keeping with these goals, ETS is committed to making its research freely available to the professional community and to the general public. Published accounts of ETS research, including papers in the ETS Research Report ser...

Conventional Automated Essay Scoring (AES) measures may cause severe problems when directly applied in scoring Automatic Speech Recognition (ASR) transcription as they are error sensitive and unsuitable for the characteristic of ASR transcription. Therefore, we introduce a framework of Finite State Transducer (FST) to avoid the shortcomings. Compared with the Latent Semantic Analysis with Suppo...

This paper addresses the ongoing discussion on influencing factors of automatic essay scoring with latent semantic analysis (LSA). Throughout this paper, we contribute to this discussion by presenting evidence for the effects of the parameters text pre-processing, weighting, singular value dimensionality and type of similarity measure on the scoring results. We benchmark this effectiveness by c...