Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines

We introduce a formal distinction between contradictions and disagreements in natural language texts, motivated by the need to formally reason about contradictory medical guidelines. This is a novel and potentially very useful distinction, and has not been discussed so far in NLP and logic. We also describe a NLP system capable of automated finding contradictory medical guidelines; the system uses a combination of text analysis and information retrieval modules. We also report positive evaluation results on a small corpus of contradictory medical recommendations.Comment: 5 pages, 1 figure, accepted at 12th International Conference on Computational Semantics (IWCS-2017

Annual Report 2016-2017

The College of Computing and Digital Media has always prided itself on curriculum, creative work, and research that stays current with changes in our various fields of instruction. As we looked back on our 2016-17 academic year, the need to chronicle the breadth and excellence of this work became clear. We are pleased to share with you this annual report, our first, highlighting our accomplishments. Last year, we began offering three new graduate programs and two new certificate programs. We also planned six degree programs and three new certificate programs for implementation in the current academic year. CDM faculty were published more than 100 times, had their films screened more than 200 times, and participated in over two dozen exhibitions. Our students were recognized for their scholarly and creative work, and our alumni accomplished amazing things, from winning a Student Academy Award to receiving a Pulitzer. We are proud of all the work we have done together. One notable priority for us in 2016-17 was creating and strengthening relationships with industry—including expanding our footprint at Cinespace and developing the iD Lab—as well as with the community, through partnerships with the Chicago Housing Authority, Wabash Lights, and other nonprofit organizations. We look forward to continuing to provide innovative programs and spaces this academic year. Two areas in particular we’ve been watching closely are makerspaces and the “internet of things.” We’ve already made significant commitments to these areas through the creation of our 4,500 square foot makerspace, the Idea Realization Lab, and our new cyber-physical systems bachelor’s program and lab. We are excited to continue providing the opportunities, curriculum, and facilities to support our remarkable students. David MillerDean, College of Computing and Digital Mediahttps://via.library.depaul.edu/cdmannual/1000/thumbnail.jp

Air Force Institute of Technology Research Report 2018

This Research Report presents the FY18 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs). Interested individuals may discuss ideas for new research collaborations, potential CRADAs, or research proposals with individual faculty using the contact information in this document

Air Force Institute of Technology Research Report 2009

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

A Contrastive Corpus Analysis between Modern Art Criticism and Photography Criticism for Curriculum Development in Art ESP

The field of ESP encompasses a number of areas. In the developing area of English for Art Purposes or Art ESP, there is almost no material in publication for Art schools and other programs to use. This dissertation addresses the need for material in this field by using contrastive corpus analysis to identify suitable material for this subject and then discusses how contrastive analysis software can also be used to help create content in the form of lesson plans and curriculum material. This study focuses on the unique language features of modern art criticism and photography criticism by looking at the driving differences that characterize each genre by asking the following research questions: 1.Can the language of photography criticism in terms of indicative linguistic features be considered as a distinct genre from modern art criticism? 2.If so, which features drive these differences, and how can the identification of these features be used to create content material for use with nonnative English speakers? This study used a contrastive analysis method by utilizing a computational tool called the Gramulator to isolate and identify the characteristic features that differentiate a Photography Criticism corpus of 48 samples and a Modern Art Criticism corpus of 94 samples. The main findings were viewed in terms of one, two and three word collocations. The software tool also viewed the amount of narrative and science language used in each corpus. The results for this section of the study showed a predicted result of a high rate of scientific language with 30 out of 48 samples showing science language. The Modern Art results were more surprising with a very near split of 44 out of 94 showing science language and 50 out of 94 showing narrative. The software tool was then used to show and discuss how these results could be utilized to create different content for the area of Art ESP. The results were then concluded to support the claim that these are two separate genres of writing