This paper presents re-training, a bootstrapping algorithm that automatically acquires semantically annotated data, ensuring high levels of precision. This algorithm uses a corpus-based system of word sense disambiguation that relies on maximum entropy probability models. The re-training method consists of the iterative feeding of training-classification cycles with new and high-confidence exam...

This paper presents a practical tri-training method for Chinese chunking using a small amount of labeled training data and a much larger pool of unlabeled data. We propose a novel selection method for tri-training learning in which newly labeled sentences are selected by comparing the agreements of three classifiers. In detail, in each iteration, a new sample is selected for a classifier if the...

Co-teaching is regularly paired with school improvements and educational reforms, yet research does not clearly separate the challenges of co-teaching for teacher professional development, course improvement wider reforms. We explored how emerged what barriers teachers experienced as meaningful their after a national core curriculum reform. Two cross-sectional data sets were collected. Three qu...

This study explored the significance and impact of co-teaching on teacher's teaching skills. In doing so, considered whether practice is worth implementing some strategies that could help with successful implementation for maximum benefits. A qualitative approach was used, primary instrument collecting data semi-structured interviews. The sample comprised 13 Saudi Arabian teachers who had exper...

Physics Education Research (PER) is currently facing significant difficulties in disseminating research-based knowledge and instructional strategies to other faculty. Co-teaching is a promising and cost-effective alternative to traditional professional development that may be applicable in many situations. This paper discusses the rationale for coteaching and our initial experience with co-teac...