Patients in the intensive care unit (ICU) require constant and close supervision. To assist clinical staff in this task, hospitals use monitoring systems that trigger audiovisual alarms if their algorithms indicate that a patient’s condition may be worsening. However, current monitoring systems are extremely sensitive to movement artefacts and technical errors. As a result, they typically trigg...

CRL submitted two systems for the Named Entity task . One of these (Basic) is an improved version of the CRL name recognizer developed in phase one of Tipster[1]. The second (AutoLearn) is a system which learns automatically from training data . The Basic system had approximatel y six man months of work in its original development . Improvements for MUC-6 were carried out by one graduate studen...

Semantic Textual Similarity measures similarity between pair of texts, even though the similar context is projected using different words. This work attempted to incorporate the context space of the sentence from that sentence alone. It proposes combination of Word2Vec and Non-Negative Matrix Factorization to represent the sentence as context embedding vector in context space. Distance and corr...

Existing recurrent net learning algorithms are inadequate. We introduce the conceptual framework of viewing recurrent training as matching vector fields of dynamical systems in phase space. Phasespace reconstruction techniques make the hidden states explicit, reducing temporal learning to a feed-forward problem. In short, we propose viewing iterated prediction [LF88] as the best way of training...

A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lexical analogies occur frequently in text and are useful in various natural language processing tasks. In this study, we present a system that generates lexical analogies automatically from text data. Our system discovers semantically related pairs of words by using dependency relations, and applies novel machine...

In this paper we present an algorithm to anchor floating quantifiers in Japanese, a language in which quantificational nouns and numeralclassifier combinations can appear separated from the noun phrase they quantify. The algorithm differentiates degree and event modifiers from nouns that quantify noun phrases. It then finds a suitable anchor for such floating quantifiers. To do this, the algori...

─ A near-field focused folded transmitarray antenna is proposed at 2.45 GHz for medical applications. The proposed folded transmitarray construction introduces compact design, low profile, and reduced fabrication cost with focused power in both the near-field and far-field regions of the antenna. The transmitarray consists of a feeding horn antenna embedded centrally in the transmitarray struct...

Classification models (“machine learners” or “learners”) were developed using machine learning techniques to predict mortality at discharge from an intensive care unit (ICU) and evaluated based on a large training data set from a single ICU. The best models were tested on data on subsequent patient admissions. Excellent model performance (AUCROC (area under the receiver operating curve) =0.896 ...

We developed an opinion analysis system at NTCIR-6. Our system can detect opinion sentences and extract opinion holders by executing three phases: (1) opinion sentence classification by SVM that distinguishes an opinionated sentence from others, (2) opinion-holder candidate extraction using named entity recognition, (3) opinion-holder detection by rules that find the correspondence between the ...

in this study an innovatively designed tractor-mounted, ground-wheel driven, triple unit, row crop precision planter capable of planting three rows of garlic (allium sativum l.) cloves on each raised bed was designed, fabricated and tested. the major components of this planter include; chassis and transport wheels, lister-bedder unit, seed hopper, seed metering drum, sweeper, knocker, seed tube...