This paper provides an overview of the design and motivation for creating the Social Cognition Parallax Interview Corpus (SCOPIC), an open-ended, accessible corpus that balances the need for language-specific annotation with typologically-calibrated markup. SCOPIC provides richly annotated data, focusing on functional categories relevant to social…

Although contemporary models of faculty involvement in publicly engaged scholarship recognize the important influence of disciplines on faculty members, few studies have investigated disciplinary variations empirically. This study used the Biglan classification of academic disciplines to analyze publicly engaged scholarly activities reported by…

Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…

A series of experiments was performed to investigate the effectiveness and utility of automatically classifying documents through the use of multiple discriminant functions. Classification is accomplished by computing the distance from the mean vector of each category to the vector of observed frequencies of a document and assigning the document…

The report very briefly summarizes the research performed during the contract period March 1, 1964, to February 28, 1971. The emphasis of the research was on the discovery and development of techniques for automatically indexing and classifying documents. The research was limited to statistical techniques rather than semantic or syntactic. A…

A collection of twenty-three lexical resources in information science, published in both the United States and Europe between 1960 and 1967, was analyzed with the purpose of tabulating the occurrence of different terms in them. This analysis, accomplished by means of a matrix generated on the IBM System 360 Model 40 computer, quantified the…

The major advantage of sequential classification, a technique for automatically classifying documents into previously selected categories, is that the entire document need not be processed before it is classified. This method assumes the availability of a priori categories, a selection of keywords representative of these categories, and the a…

The feasibility of using a distance measure, called the Bayesian distance, for automatic sequential document classification was studied. Results indicate that, by observing the variation of this distance measure as keywords are extracted sequentially from a document, the occurrence of noisy keywords may be detected. This property of the distance…

This symposium on adult learning and human resource development consists of three presentations. "Adult Learning Principles and Concepts in the Workplace: Implications for Training in HRD" (Margot B. Weinstein) reports on findings from interviews with restaurant employees who reported that training practices using adult learning…