A Novel ILP Framework for Summarizing Content with High Lexical Variety

Summarizing content contributed by individuals can be challenging, because people make different lexical choices even when describing the same events. However, there remains a significant need to summarize such content. Examples include the student responses to post-class reflective questions, product reviews, and news articles published by different news agencies related to the same events. High lexical diversity of these documents hinders the system's ability to effectively identify salient content and reduce summary redundancy. In this paper, we overcome this issue by introducing an integer linear programming-based summarization framework. It incorporates a low-rank approximation to the sentence-word co-occurrence matrix to intrinsically group semantically-similar lexical items. We conduct extensive experiments on datasets of student responses, product reviews, and news documents. Our approach compares favorably to a number of extractive baselines as well as a neural abstractive summarization system. The paper finally sheds light on when and why the proposed framework is effective at summarizing content with high lexical variety.Comment: Accepted for publication in the journal of Natural Language Engineering, 201

CREATe 2012-2016: Impact on society, industry and policy through research excellence and knowledge exchange

On the eve of the CREATe Festival May 2016, the Centre published this legacy report (edited by Kerry Patterson & Sukhpreet Singh with contributions from consortium researchers)

Patent Analysis for Smart Grid Development in the U.S

By increasing demand for energy among nations the rate of fossil fuel consumption is boosting. The raise of fossil fuel consumption has motivated nations to gain some capabilities for the purpose of dealing with some consequences; the more fossil fuel consumption, the higher price for energy, and the higher rate of GHG as well. Recently smart grid technology has been introduced as a healing approach in terms of using energy more efficiently. This study made an effort to have some discussions around smart grid technology development in the United States by patent analysis and forecasting. The outcomes in both technology and company levels determined, although smart grid technology is growing up by 2015, it will still be at the first stage of its life cycle and to reach at its maturity phase several factors such as governmental support, standardization policies, and the nature of technology are involved in

The Assessment CyberGuide for Learning Goals and Outcomes

The CyberGuide serves as a companion resource for implementing the APA Guidelines for the Undergraduate Major in Psychology. These resources should aid psychology departments and their faculty to design the most appropriate and effective assessment plans. We have organized this Cyberguide into four parts that will assist departments in developing assessment plans: I. Understanding Assessment: Departmental, Institutional, Educational, and Societal Perspectives II. Designing Viable Assessment Plans III. Sustaining an Assessment Culture IV. Applying Assessment Strategies in Psycholog

Doing pedagogical research in engineering

This is a book

You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems

Visual query systems (VQSs) empower users to interactively search for line charts with desired visual patterns, typically specified using intuitive sketch-based interfaces. Despite decades of past work on VQSs, these efforts have not translated to adoption in practice, possibly because VQSs are largely evaluated in unrealistic lab-based settings. To remedy this gap in adoption, we collaborated with experts from three diverse domains---astronomy, genetics, and material science---via a year-long user-centered design process to develop a VQS that supports their workflow and analytical needs, and evaluate how VQSs can be used in practice. Our study results reveal that ad-hoc sketch-only querying is not as commonly used as prior work suggests, since analysts are often unable to precisely express their patterns of interest. In addition, we characterize three essential sensemaking processes supported by our enhanced VQS. We discover that participants employ all three processes, but in different proportions, depending on the analytical needs in each domain. Our findings suggest that all three sensemaking processes must be integrated in order to make future VQSs useful for a wide range of analytical inquiries.Comment: Accepted for presentation at IEEE VAST 2019, to be held October 20-25 in Vancouver, Canada. Paper will also be published in a special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG) IEEE VIS (InfoVis/VAST/SciVis) 2019 ACM 2012 CCS - Human-centered computing, Visualization, Visualization design and evaluation method

Non-profit Health Care Services Marketing: Persuasive Messages Based on Multidimensional Concept Mapping and Direct Magnitude Estimation

Persuasive messages for marketing healthcare services in general and coordinated care in particular are more important now for providers, hospitals, and third-party payers than ever before. The combination of measurement based information with creativity may be among the most critical factors in reaching markets or expanding markets. The research presented here provides an approach to marketing coordinated care services which allows healthcare managers to plan persuasive messages given the market conditions they face. Using market respondents’ thinking about product attributes combined with distance measurement between pairs of product attributes, a conceptual marketing map is presented and applied to advertising, message copy, and delivery. The data reported here are representative of the potential caregivers for which the messages are intended. Results are described with implications for application to coordinated care services. Theory building and marketing practice are discussed in the light of findings and methodology