title: Cue word guided question generation with BERT model fine-tuned on natural question dataset

authors: Zhang, Zijing

subjects: Deep Learning

abstract: This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

text: Cue word guided question generation with BERT model fine-tuned on natural question dataset This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

year: 2020

title: A simple algorithm for medial axis transform computation

authors: Au, Chi Kit

subjects: medial axis

abstract: Although medial axis transform is introduced as a shape description for many engineering applications, the computational algorithm is still challenging. This is especially true for the shape with free form boundary. This paper presents an algorithm for medial axis transform computation from a perspective of minimum distance between the points in a two-dimensional shape and its boundary. The minimum distance is given by a resultant distance function which is a superposition of the individual distance function between a point within a shape and each boundary point. By elaborating the resultant distance function, the medial axis transform will be obtained naturally. The distance function is modeled as a solid cone and the superposition is equivalent to the union Boolean set operation. The implementation of the approach is simplified using a solid modeling kernel. Several examples of two-dimensional shapes with free form boundaries are raised to illustrate the concept and algorithm.

text: A simple algorithm for medial axis transform computation Although medial axis transform is introduced as a shape description for many engineering applications, the computational algorithm is still challenging. This is especially true for the shape with free form boundary. This paper presents an algorithm for medial axis transform computation from a perspective of minimum distance between the points in a two-dimensional shape and its boundary. The minimum distance is given by a resultant distance function which is a superposition of the individual distance function between a point within a shape and each boundary point. By elaborating the resultant distance function, the medial axis transform will be obtained naturally. The distance function is modeled as a solid cone and the superposition is equivalent to the union Boolean set operation. The implementation of the approach is simplified using a solid modeling kernel. Several examples of two-dimensional shapes with free form boundaries are raised to illustrate the concept and algorithm.

year: 2013

title: Māori Psychology Workforce & Māori-Focussed Course Content Review

authors: Waitoki, Waikaremoana

abstract: The Ministry of Health (2014) acknowledges that inaccurate and unreliable workforce data collections have been an issue for some time. This is a particular issue for the psychology workforce, with there being no single data set able to accurately and reliably describe the psychology workforce in detail. The annual psychology workforce survey was discontinued post 2010, although District Health Board (DHB) Shared Services does provide a dataset pertaining to the DHB psychology workforce. This report details the paper presents data relating to the: Current Māori psychology workforce; and describes the inclusion of Māori focused content within university psychology department courses.

text: Māori Psychology Workforce & Māori-Focussed Course Content Review The Ministry of Health (2014) acknowledges that inaccurate and unreliable workforce data collections have been an issue for some time. This is a particular issue for the psychology workforce, with there being no single data set able to accurately and reliably describe the psychology workforce in detail. The annual psychology workforce survey was discontinued post 2010, although District Health Board (DHB) Shared Services does provide a dataset pertaining to the DHB psychology workforce. This report details the paper presents data relating to the: Current Māori psychology workforce; and describes the inclusion of Māori focused content within university psychology department courses.

year: 2015