Incorporating Structured Commonsense Knowledge in Story Completion

The ability to select an appropriate story ending is the first step towards perfect narrative comprehension. Story ending prediction requires not only the explicit clues within the context, but also the implicit knowledge (such as commonsense) to construct a reasonable and consistent story. However, most previous approaches do not explicitly use background commonsense knowledge. We present a neural story ending selection model that integrates three types of information: narrative sequence, sentiment evolution and commonsense knowledge. Experiments show that our model outperforms state-of-the-art approaches on a public dataset, ROCStory Cloze Task , and the performance gain from adding the additional commonsense knowledge is significant

An Analysis of Rx for Discovery Reading for Elementary Students Below Grade Level in Reading

Abstract Rx for Discovery Reading® is an intervention developed by the National Institute for Learning Development to impact the reading abilities of students below grade level in reading. For this study, the areas of phonological processing, decoding, and fluency were investigated using pre- and post-test scores from the KTEA-II, GORT, and DIBELS. The problem studied was whether Rx for Discovery Reading® would raise the mean standard scores in these three areas. Using a small-group format, twenty-nine students were involved in the intervention for fifty forty-five minute sessions over one school year. Eight NILD educational therapists in a variety of geographical areas implemented the intervention. At the conclusion of the field test, the data were examined, discovering that the students had significantly higher post-test standard scores compared to the pre-test standard scores. These results demonstrate that this intervention may contribute greatly in enabling students become more proficient readers, overcoming a reading deficit