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

This paper presents models to predict event durations.

This paper discusses the history of the Texas Digital Newspaper Program and associated digital newspaper initiatives at the University of North Texas Libraries.

This paper discusses measuring the impact of preserving digital assets.

This paper discusses the Classification of the End-of-Term Archive project.

This paper accompanies a poster presentation on the anti-diabetic and cholesterol-lowering effects of common and cassia cinnamon (Cinnamomum verum and C. aromaticum).

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

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 presents a methodology to extract positive interpretations from negated statements.

This paper describes an automatic question generator that uses semantic pattern recognition to create questions of varying depth and type for self-study or tutoring.

This paper describes a meta-synthesis of existing qualitative research on smart libraries to demonstrate the transition of technology changing to meet users' needs.

This paper describes the use of a content analysis with the lens of information architecture to better understand how research data services are organize in North American academic library websites, and to what extent the research data lifecycle is supported within these services.

This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.

Paper presented at the 2019 ASEE Annual Conference & Exposition. The research presented studies achievement scores and affinity towards STEM scores of male and female students after participating in a unit focused on understanding a solenoid.

Paper presented at the 2019 ASEE Annual Conference & Exposition. The research presented was funded by the NSF Division of Undergraduate Education and seeks to improve the quality of technical writing instruction for undergraduate STEM students by creating a data-driven learning approach for teaching STEM students writing patterns specific to their respective disciplines.

This paper describes a dialogue system framework for a companionable robot, which aims to guide patients towards health behavior changes via natural language analysis and generation.

This paper was presented at the 2017 IFLA World Library and Information Congress. This paper contains a summary of the study to discern what students learned from a library and information science service learning study abroad program to Russia in 2012.

This paper presents the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual entailment.

Paper presenting the results of a study into the persistence and availability of web resources reference from papers in scholarly repositories.

This paper discusses the PREMIS Event Service. The University of North Texas (UNT) Libraries have created a digital library infrastructure that is designed using the Curation Micro Services methodology for building repositories. Based on modular components designed for reuse and re-configuration the authors propose a general-purpose preservation event logging system using the PREMIS Event and Agent data model. An example implementation developed with the Django Web framework and employing RESTful design patterns with the Atom Publishing Protocol is described.

This paper identifies the uncertain areas and figures out the problematic land cover types in the MODIS Collection 5 global land cover dataset without ground validation samples.

This paper proposes a new shared task on grading student answers with the goal of enabling well-targeted and flexible feedback in a tutorial dialogue setting.