E-assessment is an important component of e-learning and equalification. Formative and summative assessment serve different purposes and both types of evaluation are critical to the pedagogical process. While students are studying, practicing, working, or revising, formative assessment provides direction, focus, and guidance. Summative assessment provides the means to evaluate a learner’s achie...

The effect of exposure to an original or common idea on crowdsourced idea generation was studied by asking crowd workers to design a public service advertisement. As compared to having no idea exposure, exposure to an original idea decreased fluency and increased the average originality of ideas generated by each person. By contrast, exposure to a common idea had no effect on either idea origin...

Evaluation methods for Distributional Semantic Models typically rely on behaviorally derived gold standards. These methods are difficult to deploy in languages with scarce linguistic/behavioral resources. We introduce a corpus-based measure that evaluates the stability of the lexical semantic similarity space using a pseudo-synonym same-different detection task and no external resources. We sho...

We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model that assumes the expression of observed high-dimensional binary data is driven by a small number of hidden binary sources combined via noisy-or units. The component analysis procedure is equivalent to learning of NOCA par...

Linguistic ambiguity and semantic inference are commonly used as a technique to generate humor. The purpose of this study was to investigate the interaction between semantic processing and humor. Sixty undergraduate students participated in this study. The independent variables of semantic processing (ambiguity/bridge inference) and humor (funny/non-funny) were manipulated. Dependent variables ...

A PHASE II TWO STAGE CLINICAL TRIAL DESIGN TO HANDLE LATENT HETEROGENEITY FOR A BINARY RESPONSE Christopher N. Barnes

In this paper, we use simple techniques derived from on Latent Semantic Analysis (LSA) to provide a simple and robust way of generating extractive summaries for TAC 2008 Update Summarization task.

This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introduced, with their arguments defined on an ontology of sorts. A semantic parser is used to extract these relations from noun phrases and verb argument structures. The method was successfully used in two applications: rapi...

By using a small example, an analogy to photographic compression, and a simple visualization using heatmaps, we show that latent semantic analysis (LSA) is able to extract what appears to be semantic meaning of words from a set of documents by blurring the distinctions