Incorporation of two terminology projects into a system for information retrieval using NLP for term expansion

In this paper, we will discuss two medical terminology projects at the University College of Ghent, Faculty of translation studies, and the benefits of combining them to provide Dutch professionals and laymen with better access to information in biomedical databases. Our first project, the MeSH Termbase Project (MTB) is aimed at health care professionals, medical translators and also patients in need of language support. The main aim of our second project, the Multilingual Glossary of Technical and Popular Medical Terms, is the simplification of the terminology used in patient information leaflets

NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings

Current approaches for service composition (assemblies of atomic services) require developers to use: (a) domain-specific semantics to formalize services that restrict the vocabulary for their descriptions, and (b) translation mechanisms for service retrieval to convert unstructured user requests to strongly-typed semantic representations. In our work, we argue that effort to developing service descriptions, request translations, and matching mechanisms could be reduced using unrestricted natural language; allowing both: (1) end-users to intuitively express their needs using natural language, and (2) service developers to develop services without relying on syntactic/semantic description languages. Although there are some natural language-based service composition approaches, they restrict service retrieval to syntactic/semantic matching. With recent developments in Machine learning and Natural Language Processing, we motivate the use of Sentence Embeddings by leveraging richer semantic representations of sentences for service description, matching and retrieval. Experimental results show that service composition development effort may be reduced by more than 44\% while keeping a high precision/recall when matching high-level user requests with low-level service method invocations.Comment: This paper will appear on SCC'19 (IEEE International Conference on Services Computing) on July 1

The Impact of Digital Tools on Student Writing and How Writing is Taught in Schools

In a survey of Advanced Placement and National Writing Project teachers, a majority say digital tools encourage students to be more invested in their writing by encouraging personal expression and providing a wider audience for their work. Most also say digital tools make teaching writing easier, despite an increasingly ambiguous line between formal and informal writing and students' poor understanding of issues such as plagiarism and fair use

Dublin City University at QA@CLEF 2008

We describe our participation in Multilingual Question Answering at CLEF 2008 using German and English as our source and target languages respectively. The system was built using UIMA (Unstructured Information Management Architecture) as underlying framework

Creating structure from disorder: using folksonomies to create semantic metadata

This paper reports on an on-going research project to create educational semantic metadata out of folksonomies. The paper describes a simple scenario for the usage of the generated semantic metadata in teaching, and describes the ‘FolksAnnotation’ tool which applies an organization scheme to tags in a specific domain of interest. The contribution of this paper is to describe an evaluation framework which will allow us to validate our claim that folksonomies are potentially a rich source of metadata

Playing with Play: Machinima in the Classroom

“So, machinima is really a genre, and not a medium?” The students in my Digital Media and Rhetoric course are grappling with both how to define machinima and how to evaluate whether one is “good” or not. I frustrate them by refusing to provide a definitive answer to this and other similar questions they have asked about the form. This intentional frustration continues as, after watching a few examples they ask me what grade I would give those machinima, if they were turned in for this assignment. Rather than providing a simple answer I redirect, asking them what criteria they would use to evaluate machinima and how the examples we’ve seen in class stand up to this scrutiny. At the beginning of this particular unit, when I announced that we wouldn’t be writing another research paper, they were exuberant. Now, however, the complexity of the task before them is slowly unveiling itself. While a majority of these students are gamers, few of them have experience in video production. None of them have previously looked at fan culture as a source of meaning and knowledge production. We are in unfamiliar territory, and they are getting restless