Data-Driven Text Generation using Neural Networks & Provenance is Complicated and Boring — Is there a solution?

Title: Data-Driven Text Generation using Neural Networks Speaker: Pavlos Vougiouklis, University of Southampton Abstract: Recent work on neural networks shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks. This talk will focus on the Natural Language Generation (NLG) problem and, more specifically, on the extend to which neural network language models could be employed for context-sensitive and data-driven text generation. In addition, a neural network architecture for response generation in social media along with the training methods that enable it to capture contextual information and effectively participate in public conversations will be discussed. Speaker Bio: Pavlos Vougiouklis obtained his 5-year Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2013. He was awarded an MSc degree in Software Engineering from the University of Southampton in 2014. In 2015, he joined the Web and Internet Science (WAIS) research group of the University of Southampton and he is currently working towards the acquisition of his PhD degree in the field of Neural Network Approaches for Natural Language Processing. Title: Provenance is Complicated and Boring — Is there a solution? Speaker: Darren Richardson, University of Southampton Abstract: Paper trails, auditing, and accountability — arguably not the sexiest terms in computer science. But then you discover that you've possibly been eating horse-meat, and the importance of provenance becomes almost palpable. Having accepted that we should be creating provenance-enabled systems, the challenge of then communicating that provenance to casual users is not trivial: users should not have to have a detailed working knowledge of your system, and they certainly shouldn't be expected to understand the data model. So how, then, do you give users an insight into the provenance, without having to build a bespoke system for each and every different provenance installation? Speaker Bio: Darren is a final year Computer Science PhD student. He completed his undergraduate degree in Electronic Engineering at Southampton in 2012.

Engineering Foundation Year - Sustaining Success - Lecture 1 - slides

These materials are used in student tutorials as part of the routes to success course. The tutorials are typically delivered to a large group (~50) in an interactive manner, with the slides serving as reference/check materials. Some of the questions in the slides can also be used as individual handouts

The Higher Education Academy Engineering Subject Center

The engineering subject center provides support for engineering students and staff in higher education at university. The website provides articles helping students in a large range of subjects, such as book reviews for a variety subjects, support in writing reports or essays and personal development in subject areas and university life in general.

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Exam questions and solutions for a first year engineering maths exam. Short questions (section A) and longer questions (section B). Diagrams for the question are all together in the support.zip file, as .eps files

Engineering 1B

Exercises and solutions for a first year course. Diagrams for the questions are all together in the support.zip file, as .eps files

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Engineering Foundation Year - Sustaining Success Week 1

Slides for first week of teaching

Engineering Foundation Year - Sustaining Success Week 1

Slides for first week of teaching, PDF 6 up

Engineering Foundation Year - Sustaining Success Week 1

Slides for first week of teaching, PDF

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single sheet containing all the section headings for the portfolio, providing overview

Collection Engineering Foundation Year, Sustaining Success, Week 1

slides, notes, and background information covered in first week of this six week set of classes

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Lecture notes for skills module Routes to Success: Sustaining Success Lecture 2. Portfolio building