This quarter, we participated in World Antibiotic Awareness Week on 16–22 November. Endorsed by the World Health Organization, the event acknowledged the global importance of antimicrobial resistance (AMR) as a growing public health issue. In the lead up to the week, I described the current AMR situation in the Australian animal health sector and our future plans and activities to address the i...

We propose a grammar induction technique for AMR semantic parsing. While previous grammar induction techniques were designed to re-learn a new parser for each target application, the recently annotated AMR Bank provides a unique opportunity to induce a single model for understanding broad-coverage newswire text and support a wide range of applications. We present a new model that combines CCG p...

With an ever increasing size of text present on the Internet, automatic summary generation remains an important problem for natural language understanding. In this work we explore a novel full-fledged pipeline for text summarization with an intermediate step of Abstract Meaning Representation (AMR). The pipeline proposed by us first generates an AMR graph of an input story, through which it ext...

The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We attack the task by first partitioning the AMR graph into smaller fragments, and then generating the translation for each fragment, before finally deciding the order by solving an asymmetric generalized traveling salesman problem (AGTSP). A Maximum Entropy classifier is...

We propose a method for semantic structure analysis of noun phrases using Abstract Meaning Representation (AMR). AMR is a graph representation for the meaning of a sentence, in which noun phrases (NPs) are manually annotated with internal structure and semantic relations. We extract NPs from the AMR corpus and construct a data set of NP semantic structures. We also propose a transition-based al...

We previously demonstrated the doxorubicininduced expression of urokinase-type plasminogen activator (uPA), interleukin-8 (IL-8), monocyte chemoattractant protein-1 (MCP-1) and tumor necrosis factor-· in human RCK8 lymphoma cells and NCI-H69 small cell lung carcinoma cells in which reactive oxygen species might be involved. Amurubicin hydrochloride (AMR), a novel derivative drug of doxorubicin,...

Integral curves, such as streamlines, streaklines, pathlines, and timelines, are an essential tool in the analysis of vector field structures, offering straightforward and intuitive interpretation of visualization results. While such curves have a long-standing tradition in vector field visualization, their application to Adaptive Mesh Refinement (AMR) simulation results poses unique problems. ...

In this paper, we investigate the use of a Gaussian Mixture Model (GMM)-based quantizer for quantization of the Line Spectral Frequencies (LSFs) in the Adaptive Multi-Rate (AMR) speech codec. We estimate the parametric GMM model of the probability density function (pdf) for the prediction error (residual) of mean-removed LSF parameters that are used in the AMR codec for speech spectral envelope...

Software analysis pattern is an approach of software reuse which provides a way to reuse expertise that can be used across domains at early level of development. Developing software for a mobile robot system involves multi-disciplines expert knowledge which includes embedded systems, real-time software issues, control theories and artificial intelligence aspects. This paper focuses on analysis ...