Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…

The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…

This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…

With the rapid development of Internet technologies, distance education has become a popular educational mode. In this paper, the authors propose an online image automatic annotation distance education system, which could effectively help children learn interrelations between image content and corresponding keywords. Image automatic annotation is…

Describes an information retrieval methodology based on relevance weighting of search terms in pairs of documents. The vector space model of information retrieval is reviewed, the Bayesian model of text retrieval is discussed, and an automatic implementation of weight estimation using the Medline database is described. (16 references) (LRW)

Describes the development and outcome of a cooperative computerization effort involving nine public and university museums. The discussion covers the project goals, data development and analysis, and contributions resulting form the project. Appendices provide the system data fields used and a comparison between automation of library and museum…

RESULTS ARE REPORTED OF A STUDY OF THE FEASIBILITY OF A NATIONAL ADULT EDUCATION INFORMATION CENTER, IN WHICH IT WAS PROPOSED TO (1) STUDY INFORMATION PROBLEMS AND RESOURCES IN ADULT EDUCATION AND RECOMMEND NEW SERVICES WHICH WOULD BE MOST USEFUL TO THE FIELD , (2) DEVELOP THE TOOLS OF SUBJECT ANALYSIS WHICH WOULD BE NEEDED IN THESE SERVICES, AND…