The aim of this research is to investigate the terrain deformation in the metropolitan area of Sydney using multiple satellite radar imagery. The persistent scatterer interferometry (PSI) strategy developed at Geodesy and Earth Observing Systems Group (GEOS) of the University of New South Wales (UNSW) is used to map the land deformation in Sydney with C-band ENVISAT radar images in this study. ...

In this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries. One of the two resources is the sar-graph, which aggregates for each target relation ten thousands of linguistic patterns of semantically associated relations that signal instances of the target relation (Uszko...

For definitional QA, we adopted a hybrid approach that combines several complementary technology components. Information retrieval (IR) was used to retrieve from the corpus the relevant documents for each question. Various linguistic and extraction tools were used to analyze the retrieved texts and to extract various types of kernel facts from which the answer to the question is generated. Thes...

abstract the use of water sources has increased due to extend of agricultural activity for answering food needs of increasing population. while because of exploitation and consumption of water, the use of this restricted resource is not appropriate. consequently in many districts of country the head level of ground water aquifers have been fallen and water level is negative. so, application of ...

this interdisciplinary paper aims at guangzhou’s development and its effects on surface andgroundwater quality taking the new city axis as an example. qualitative morphological analyses, field mappings, interviews and water sampling of standard in-situ and various hydrochemical parameters were conducted between 2007 and 2009 in order to examine the following research questions: which types of l...

In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images have to be compared without using feature extraction. Due to the fact that different scene patterns can be present in the images, we propose a modified Hausdorff distance (HD) locally measured in an adaptive way. The re...

Bootstrapped pattern learning for entity extraction usually starts with seed entities and iteratively learns patterns and entities from unlabeled text. Patterns are scored by their ability to extract more positive entities and less negative entities. A problem is that due to the lack of labeled data, unlabeled entities are either assumed to be negative or are ignored by the existing pattern sco...

One of the central issues for information extraction is the cost of customization from one scenario to another. Research on the automated acquisition of patterns is important for portability and scalability. In this paper, we introduce Tree-Based Pattern representation where a pattern is denoted as a path in the dependency tree of a sentence. We outline the procedure to acquire Tree-Based Patte...