title: KEA: Practical automatic keyphrase extraction

authors: Witten, Ian H.

abstract: Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical methods, calculates feature values for each candidate, and uses a machine-learning algorithm to predict which candidates are good keyphrases. The machine learning scheme first builds a prediction model using training documents with known keyphrases, and then uses the model to find keyphrases in new documents. We use a large test corpus to evaluate Kea’s effectiveness in terms of how many author-assigned keyphrases are correctly identified. The system is simple, robust, and available under the GNU General Public License; the paper gives instructions for use.

text: KEA: Practical automatic keyphrase extraction Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical methods, calculates feature values for each candidate, and uses a machine-learning algorithm to predict which candidates are good keyphrases. The machine learning scheme first builds a prediction model using training documents with known keyphrases, and then uses the model to find keyphrases in new documents. We use a large test corpus to evaluate Kea’s effectiveness in terms of how many author-assigned keyphrases are correctly identified. The system is simple, robust, and available under the GNU General Public License; the paper gives instructions for use.

year: 2005

title: Developing a biotechnology learning hub for New Zealand

authors: Buntting, Catherine Michelle

subjects: Biotechnology

abstract: The article discusses the development of New Zealand's Biotechnology Learning Hub. The authors explains the Biotechnology Learning Hub is an on-line portal developed as a result of initial findings. Its principal aim is to bring the biotechnology and education sectors together in a more sustainable way. The author outlines classroom studies, meetings with the Biotechnolgy industry, and the features of the hub.

text: Developing a biotechnology learning hub for New Zealand The article discusses the development of New Zealand's Biotechnology Learning Hub. The authors explains the Biotechnology Learning Hub is an on-line portal developed as a result of initial findings. Its principal aim is to bring the biotechnology and education sectors together in a more sustainable way. The author outlines classroom studies, meetings with the Biotechnolgy industry, and the features of the hub.

year: 2005

title: Intra-propositional relations and their signalling: An investigation of authentic Māori texts

authors: Whaanga, Hēmi

subjects: Language & education

abstract: I report here on one part of a research project that involved the investigation of a range of authentic Māori texts in terms of two types of meaning relation – those that operate within propositions (‘intra-propositional relations’) and those that link propositions or groups of propositions (‘inter-propositional relations’). The focus here is on intra-propositional relations (relationships within propositions). On the basis of the comparison of a number of intra-propositional relational models, a new model which draws inspiration from the work of Crombie is proposed and applied to a corpus of texts written in Māori, the emphasis being on the ways in which these relations are signalled in Māori.

text: Intra-propositional relations and their signalling: An investigation of authentic Māori texts I report here on one part of a research project that involved the investigation of a range of authentic Māori texts in terms of two types of meaning relation – those that operate within propositions (‘intra-propositional relations’) and those that link propositions or groups of propositions (‘inter-propositional relations’). The focus here is on intra-propositional relations (relationships within propositions). On the basis of the comparison of a number of intra-propositional relational models, a new model which draws inspiration from the work of Crombie is proposed and applied to a corpus of texts written in Māori, the emphasis being on the ways in which these relations are signalled in Māori.

year: 2010