Exploring Scientific Information with Advanced New Search Tools. The rapidly growth of scientific literature in many fields makes finding information a challenge. For example, biologists produce over 1 million articles each year. Existing search tools have only limited success satisfying the demands of scientists' queries. This project will deliver intelligent e-research assistants capable of answering scientists' questions directly rather than returning a list of documents. This will allow scie ....Exploring Scientific Information with Advanced New Search Tools. The rapidly growth of scientific literature in many fields makes finding information a challenge. For example, biologists produce over 1 million articles each year. Existing search tools have only limited success satisfying the demands of scientists' queries. This project will deliver intelligent e-research assistants capable of answering scientists' questions directly rather than returning a list of documents. This will allow scientists to more efficiently exploit the literature enabling them to be more innovative and productive. This technology is applicable where ever finding facts in large volumes of text is critical, e.g. analysing surveillance material. Advanced search tools will have considerable academic and industrial impact.Read moreRead less
Ask the Net: Intelligent Natural Language Learning. Natural Language Processing (NLP) has progressed rapidly using corpus-based machine learning techniques. However, corpus development costs cause a ?data bottleneck? which prevents systems from reaching human competence. This project overcomes the difficulties of creating huge corpora by employing the innate language ability of untrained contributors. We will show how to automatically select and present examples, containing informative lingui ....Ask the Net: Intelligent Natural Language Learning. Natural Language Processing (NLP) has progressed rapidly using corpus-based machine learning techniques. However, corpus development costs cause a ?data bottleneck? which prevents systems from reaching human competence. This project overcomes the difficulties of creating huge corpora by employing the innate language ability of untrained contributors. We will show how to automatically select and present examples, containing informative linguistic structures, which are most beneficial for training NLP systems. These examples will be analysed by many contributors whose responses will be automatically collated into corpora. Huge corpora are vital to emerging language technologies for managing textual information in the global economy.
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Online linguistic exploration: deeper, faster, broader language documentation. This project will develop a new online mode for collaborative linguistic research. Linguists will be able to harness the power of natural language processing techniques for their study of the world's languages. A demonstration system will be developed, permitting linguists to locate examples of syntactic constructions in a large database of parsed text, and to explore similarities across different languages. The pr ....Online linguistic exploration: deeper, faster, broader language documentation. This project will develop a new online mode for collaborative linguistic research. Linguists will be able to harness the power of natural language processing techniques for their study of the world's languages. A demonstration system will be developed, permitting linguists to locate examples of syntactic constructions in a large database of parsed text, and to explore similarities across different languages. The project will also encompass a selection of minority languages for which only a small amount of data is available.Read moreRead less
Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-ti ....Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-time assessments of teamwork productivity. Automated assessments of how well relationships are progressing in teams will enable them to realise the same levels of productivity gains that automated workflow management has facilitated.Read moreRead less
Special Research Initiatives - Grant ID: SR0567319
Funder
Australian Research Council
Funding Amount
$145,000.00
Summary
DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. T ....DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. The project will support collaborative annotation of data stored in the network so its use can be maximised across disciplines.
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Parsing the web: Exploiting redundancy to understand language. This project will automatically learn the grammatical structure of language by exploiting redundancy of facts, like 'Mozart was born in 1756', from a trillion words of web text. These facts will be used to understand more complex sentences. This will enable smart information use of text with grammatical information for large-scale information access for the first time. This project will strengthen Australia's world-class expertise, ....Parsing the web: Exploiting redundancy to understand language. This project will automatically learn the grammatical structure of language by exploiting redundancy of facts, like 'Mozart was born in 1756', from a trillion words of web text. These facts will be used to understand more complex sentences. This will enable smart information use of text with grammatical information for large-scale information access for the first time. This project will strengthen Australia's world-class expertise, providing opportunities for future researchers in this area. Our expanded C&C tools and trillion word corpus will be used by academics, companies and governments, in Australia and internationally, aiding applications including financial surveillance and fraud detection.
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