An interdisciplinary team of scientists is collaborating to enhance the understanding of the uncertainty in the ocean environment, including the sea bottom, and characterize its impact on tactical system performance. To accomplish these goals quantitatively an end-to-end system approach is necessary. The conceptual basis of this approach and the framework of the end-to-end system, including its...

The overall goals of this research are: 1. To define and characterize the variabilities and uncertainties in the components and linkages of the general physical-geo-acoustical system relevant to the support of naval operations. 2. To transfer quantitatively the spatial-temporal environmental variabilities and uncertainties through the interdisciplinary system, including coupled interactions, in...

Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story generators rely on a large repository of background knowledge containing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven a...

Much work in Information Integration and the Semantic Web assumes that rich semantic models of sources exist. In practice, there is a tremendous amount of data on the Web, but it is typically hard to find, has little or no explicit structure, and there is rarely any semantic description of the data. We describe an integrated end-to-end system that can automatically discover web sources, invoke ...

We describe a supervised approach to predicting the set of all inflected forms of a lexical item. Our system automatically acquires the orthographic transformation rules of morphological paradigms from labeled examples, and then learns the contexts in which those transformations apply using a discriminative sequence model. Because our approach is completely data-driven and the model is trained ...

The 2016 Clinical TempEval challenge addresses temporal information extraction from clinical notes. The challenge is composed of six sub-tasks, each of which is to identify: (1) event mention spans, (2) time expression spans, (3) event attributes, (4) time attributes, (5) events’ temporal relations to the document creation times (DocTimeRel), and (6) narrative container relations among events a...

This paper describes the WHU IRLAB participation to the Total Recall Track in TREC 2015. We implement an end-to-end system to deal with the total recall task. We propose an iterative query expansion method, which construct queries using iteratively selected terms. We choose to participate the "Play-at-home" evaluation. Results are presented and discussed.

Faults in computer networks may result in millions of dollars in cost. Faults in a network need to be localized and repaired to keep the health of the network. Fault management systems are used to keep today’s complex networks running without significant cost, either by using active techniques or passive techniques. In this paper, we propose a novel approach based on imperialist competitive alg...