This paper describes University of Illinois’s Cognitive Computation Group (UI-CCG)’s submissions for three TAC tracks: Event Nugget Detection/Coreference; Entity Discovery and Linking (EDL); and Slot Filler Validation (SFV). The Event Nugget Detection and Coreference system employs a supervised model for event nugget detection with rich lexical and semantic features while we experiment with bot...

When the objective of an information retrieval task is to return a nugget rather than a document, query terms that exist in a document will often not be used in the most relevant information nugget in the document. In this paper, a new method of query expansion is proposed based on the Wikipedia link structure surrounding the most relevant articles selected automatically. Evaluated with the Nug...

This study was conducted to assess the effects of 0.5% Preservative Mixture (PM) containing calcium lactate (40%), sodium diacetate (40%) and sodium chloride (20%) on the microbiological, chemical and sensory quality of chicken meat nuggets stored at 4±2 C and under Modified Atmosphere Packaging o (MAP). There were two experimental groups of samples, namely control and PM-treated. The results s...

For a set of spatially dependent dynamical models, we propose a method for estimating parameters that control temporal dynamics by spatial smoothing. The new approach is particularly relevant for analyzing spatially distributed panels of short time series. The asymptotic results show that spatial smoothing will improve the estimation in the presence of nugget effect, even when the sample size i...

We propose a method with better predictions at extreme values than the standard method of Kriging. We construct our predictor in two ways: by penalizing the mean squared error through conditional bias and by penalizing the conditional likelihood at the target function value. Our prediction exhibits robustness to the model mismatch in the covariance parameters, a desirable feature for computer s...

This paper described our Event Nugget Detection system that we submitted to the TAC KBP 2016 Event Track. We sent out two runs; UMBC1 and UMBC2. UMBC1 is a sentencelevel classification system based on Convolution Neural Network and applied the probability to select a word as an event nugget. UMBC2 is the classification model trained from our features using Weka and filtered out low confidence p...

The effect of a Gaussian process parameter known as the nugget, on the development of computer model emulators is investigated. The presence of the nugget results in an emulator that does not interpolate the data and attaches a non-zero uncertainty bound around them. The limits of this approximation are investigated theoretically, and it is shown that they can be as large as those of a least sq...