title: Industrial and organisational psychology

authors: O’Driscoll, Michael P.

subjects: psychology

abstract: Industrial and organisational (I/0) psychology is concerned with people’s work-related values, attitudes and behaviours, and how these are influenced by the conditions in which they work. I/O psychologists contribute to both the effectiveness of organisations (e.g. improving productivity) and the health and well-being of people working within organisations. The field is related to other disciplines, such as organisational behaviour and human resource management, and also has close links with other sub-disciplines within psychology, especially social psychology and some aspects of human experimental psychology (e.g. cognition).

text: Industrial and organisational psychology Industrial and organisational (I/0) psychology is concerned with people’s work-related values, attitudes and behaviours, and how these are influenced by the conditions in which they work. I/O psychologists contribute to both the effectiveness of organisations (e.g. improving productivity) and the health and well-being of people working within organisations. The field is related to other disciplines, such as organisational behaviour and human resource management, and also has close links with other sub-disciplines within psychology, especially social psychology and some aspects of human experimental psychology (e.g. cognition).

year: 2007

title: The NLANR NAI Network Analysis Infrastructure

authors: McGregor, Anthony James

subjects: monitoring

abstract: The National Laboratory for Applied Network Research is creating a network analysis infrastructure to support network research and engineering of high performance research networks. The NAI includes a passive monitoring project, an active monitoring project, and collection of network management and control data. Together these projects have deployed more than 120 monitors around the high-performance research networks in the United States. This article describes NAI and the projects using it. The article concludes with a discussion of the future plans for the infrastructure.

text: The NLANR NAI Network Analysis Infrastructure The National Laboratory for Applied Network Research is creating a network analysis infrastructure to support network research and engineering of high performance research networks. The NAI includes a passive monitoring project, an active monitoring project, and collection of network management and control data. Together these projects have deployed more than 120 monitors around the high-performance research networks in the United States. This article describes NAI and the projects using it. The article concludes with a discussion of the future plans for the infrastructure.

year: 2000

title: Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language

authors: Cocks, John

subjects: Māori

abstract: This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in interest as a consequence of the increasing availability of manually annotated training data in major languages such as English and French. However, these approaches are not practical for most minority languages, where appropriate training data is either non-existent or not publically available. Furthermore, before developing a part-of-speech tagging system, a suitable tagset is required for that language. In this thesis, we make the following contributions to bridge this gap:

Firstly, we propose a method for diacritic restoration based on naive Bayes classifiers that act at word-level. Classifications are based on a rich set of features, extracted automatically from training data in the form of diacritically marked text. This method requires no additional resources, which makes it language independent. The algorithm was evaluated on one language, namely Māori, and an accuracy exceeding 99% was observed.

Secondly, we present our work on creating one of the necessary resources for the development of a part-of-speech tagging system in Māori, that of a suitable tagset. The tagset described was developed in accordance with the EAGLES guidelines for morphosyntactic annotation of corpora, and was the result of in-depth analysis of the Māori grammar.

text: Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in interest as a consequence of the increasing availability of manually annotated training data in major languages such as English and French. However, these approaches are not practical for most minority languages, where appropriate training data is either non-existent or not publically available. Furthermore, before developing a part-of-speech tagging system, a suitable tagset is required for that language. In this thesis, we make the following contributions to bridge this gap:

Firstly, we propose a method for diacritic restoration based on naive Bayes classifiers that act at word-level. Classifications are based on a rich set of features, extracted automatically from training data in the form of diacritically marked text. This method requires no additional resources, which makes it language independent. The algorithm was evaluated on one language, namely Māori, and an accuracy exceeding 99% was observed.

Secondly, we present our work on creating one of the necessary resources for the development of a part-of-speech tagging system in Māori, that of a suitable tagset. The tagset described was developed in accordance with the EAGLES guidelines for morphosyntactic annotation of corpora, and was the result of in-depth analysis of the Māori grammar.

year: 2012