Bryan R. Gibson

A bibliometric and network analysis of the field of computational linguistics

The ACL Anthology is a large collection of research papers in computational linguistics. Citation data were obtained using text extraction from a collection of PDF files with significant manual postprocessing performed to clean up the results. Manual annotation of the references was then performed to complete the citation network. We analyzed the networks of paper citations, author citations, and author collaborations in an attempt to identify the most central papers and authors. The analysis includes general network statistics, PageRank, metrics across publication years and venues, the impact factor and h‐index, as well as other measures.

Improving Reading to Improve Math

Reading provides information across the curriculum. Thus, to the extent that fundamental (i.e., generalizable) reading comprehension strategies can be taught, the benefits should be found in multiple domains. To test this claim, children in the third and fourth grades read by simulating text content using the two-part, embodied Moved by Reading intervention. While reading six initial texts, children literally manipulated pictures on a computer screen to simulate sentence content; next, for additional texts the children imagined the manipulation of the pictures. These additional texts were in the form of mathematical story problems. Compared to a control condition, children using Moved by Reading solved more problems correctly, and this improvement is mainly attributed to a 35% reduction in the use of irrelevant numerical information in solution attempts. Thus, Moved by Reading teaches a fundamental strategy that encourages the sense-making that can aid mathematical story problem solution.