This poster was featured at the 2013 Perot Museum of Nature and Science's 'Social Science' exhibit. It discusses the Global Stochastic Field Simulator, conceived in the summer of 2011.

This poster was featured at the 2013 Perot Museum of Nature and Science's 'Social Science' exhibit. The poster discusses a framework to simulate and visualize epidemics.

Article on protein sequence classification using feature hashing.

This article proposes a reconfigurable surface plasmon polariton (SPP) wave adapter designed by transformation optics, which can control the propagation of SPP waves on un-even surfaces.

This paper shows results from an investigation whether a classifier can be taught to identify these constructions and consideration of the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses.

This paper presents a domain-independent technique for assessing learners' constructed responses.

This paper analyzes the performance of a domain-general sarcasm detection system on datasets from two different domains: Twitter and Amazon product reviews.

This article proposes a correction method for image enhancement models based on an adaptive local gamma transformation and color compensation inspired by the illumination reflection model. It is demonstrated that the proposed method adaptively reduces the influence of uneven illumination to avoid overenhancement and improves the visual effect of low-light images.

This paper presents a framework to infer spatial knowledge from verbal semantic role representations.

This presentation discusses call arrival rate and mobility. The effect of call arrival rate on the capacity of a code-division multiple-access (CDMA) cellular network is evaluated.

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.

This paper discusses Tantra. Tantra is a novel Pseudorandom number generator (PRNG) design that provides a long sequence high quality pseudorandom numbers at very high rate both in software and hardware implementations.

This paper discusses explorations in automatic book summarization.

This paper discusses automatic generation of a coarse grained WordNet.

In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.

This paper presents a novel fine-grained semantic representation of text and an approach to constructing it.

This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.

This paper presents the task definition, resources, participating systems, and comparative results for the shared task on word alignment which was organized as part of the Association for Computational Linguistics (ACL) 2005 Workshop on Building and Using Parallel Texts. The shared task included English-Inuktitut, Romanian-English, and English-Hindi sub-tasks, and drew the participation of ten teams from around the world with a total of 50 systems.

This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.

Paper for the 2011 ACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. This paper discusses topic modeling on historical newspaper.

This paper discusses measuring the semantic similarity of texts.

Article describes how memory allocation and management have a significant impact on performance and energy of modern applications. The authors observe that performance can vary by as much as 72% in some applications based on which memory allocator is used, and in this paper, the authors make a case for offloading memory allocation (and other similar management functions) from main processing cores to other processing units to boost performance, reduce energy consumption, and customize services to specific applications or application domains.

This article provides an overview of some of the specialized datasets that were created for various projects related to the CiteSeer˟ digital library.

This article discusses Open Mind Word Expert (OMWE), a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge.