Dynamic Injection of Scribble Features into Graphical Diagram Editors

Almost everyone sketches. People use sketches day in and day out in many different and heterogeneous fields, to share their thoughts and clarify ambiguous interpretations, for example. The media used to sketch varies from analog tools like flipcharts to digital tools like smartboards. Whereas analog tools are usually affected by insufficient editing capabilities like cut/copy/paste, digital tools greatly support these scenarios. Digital tools can be grouped into informal and formal tools. Informal tools can be understood as simple drawing environments, whereas formal tools offer sophisticated support to create, optimize and validate diagrams of a certain application domain. Most digital formal tools force users to stick to a concrete syntax and editing workflow, limiting the user’s creativity. For that reason, a lot of people first sketch their ideas using the flexibility of analog or digital informal tools. Subsequently, the sketch is "portrayed" in an appropriate digital formal tool. This work presents Scribble, a highly configurable and extensible sketching framework which allows to dynamically inject sketching features into existing graphical diagram editors, based on Eclipse GEF. This allows to combine the flexibility of informal tools with the power of formal tools without any effort. No additional code is required to augment a GEF editor with sophisticated sketching features. Scribble recognizes drawn elements as well as handwritten text and automatically generates the corresponding domain elements. A local training data library is created dynamically by incrementally learning shapes, drawn by the user. Training data can be shared with others using the WebScribble web application which has been created as part of this work.

Improving Multi-class Text Classification with Naive Bayes

There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of organizing documents can be automated through text classification. The accuracy and our understanding of such systems greatly influences their usefulness. In this paper, we seek 1) to advance the understanding of commonly used text classification techniques, and 2) through that understanding, improve the tools that are available for text classification. We begin by clarifying the assumptions made in the derivation of Naive Bayes, noting basic properties and proposing ways for its extension and improvement. Next, we investigate the quality of Naive Bayes parameter estimates and their impact on classification. Our analysis leads to a theorem which gives an explanation for the improvements that can be found in multiclass classification with Naive Bayes using Error-Correcting Output Codes. We use experimental evidence on two commonly-used data sets to exhibit an application of the theorem. Finally, we show fundamental flaws in a commonly-used feature selection algorithm and develop a statistics-based framework for text feature selection. Greater understanding of Naive Bayes and the properties of text allows us to make better use of it in text classification.

Improving Multiclass Text Classification with the Support Vector Machine

We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full multiclass results on two well-known text data sets, including the lowest error to date on both data sets. We develop a new indicator of binary performance to show that the SVM's lower multiclass error is a result of its improved binary performance. Furthermore, we demonstrate and explore the surprising result that one-vs-all classification performs favorably compared to other approaches even though it has no error-correcting properties.

Montaigne. Un text sense pretext

El text 'Sobre els pedants' del filòsof Michel de Montaigne (1533-1592) serveix d'excusa perquè dos catedràtics de la UdG exposin conceptes i reflexions sobre la ciència i el coneixement

Picnik - free online photo editing

Need to edit an image but don't have any software? No problem - you can do it all online for free at this website - and no annoying adverts either.

Anatomy of a medical journal article

This tutorial reviews the common elements that all journal articles contain (abstract, methods, etc.) and what can be learned from each element. In addition, the tutorial distinguishes between scholarly journal articles and other publications. The Health Education Assets Library (HEAL) is a digital library that provides freely accessible digital teaching resources of the highest quality that meet the needs of today's health sciences educators and learners.

TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 10: Text Mining

This class introduces basics of web mining and information retrieval including, for example, an introduction to the Vector Space Model and Text Mining. Guest Lecturer: Dr. Michael Granitzer Optional: Modeling the Internet and the Web: Probabilistic Methods and Algorithms, Pierre Baldi, Paolo Frasconi, Padhraic Smyth, Wiley, 2003 (Chapter 4, Text Analysis)

The Tyne Digital Library - Part 1 Introduction

The Tyne Digital Library (TDL) provides access to scholarly materials (e.g. papers, book chapters, bibliographic reference lists), databases of hydrological and physical information, maps of key physiographic and environmental data, and electronic journal articles, for students undertaking GEOG3023 River Basin Management. In addition, the TDL utilises technological innovations that enhance services for accessing this information.

Changing text and background colours in Adobe Acrobat

A 4-minute video that shows how students with dyslexia or visual stress can change the text and background colours in Adobe Acrobat Reader to suit their needs.

How to highlight selected text on a PowerPoint slide

This short 7-minute video shows two methods which can be used to highlight selected words or phrases on a PowerPoint slide.

La problemàtica de l'adaptació dels llibres de text. 'La problemática de la adaptación de los libros de texto'.

Partiendo de la diversidad de efectos que se dan sobre una lengua propia cuando en este territorio se ha impuesto otra, se analiza la situación de la lengua catalana. Para conseguir la normalidad lingüística, tiene que desaparecer la imposición de la otra lengua y debe intensificarse la interrelación entre los ciudadanos de toda el área lingüística. Se destaca la importancia de la escuela como factor de cohesión lingüística, y la adecuación de los libros de texto a los currículums vigentes en el sistema educativo de las Islas Baleares, respetando las modalidades insulares de la lengua catalana. Para esta adaptación de los libros de texto existen diferentes vías, como la de substitución y la de la coincidencia.

INFO2009 Text Tutorial - Accessibility

Maximizing Accessibility in Software - by Denis's Angels

INFO2009 Poster: Accessibility - Text Tutorial

Poster describing the text tutorial on accessibility, created by Denis's Angels for INFO2009.

Reference List: Accessibility Text Tutorial

List of references in Harvard format for the accessibility text tutorial created by Denis's Angels.