In this article, a Web services network extractor toolkit, WS-NEXT (WS Network EXtractor Toolkit), is presented. WS-NEXT allows extraction of interaction and dependency WS networks. Networks can be extracted from syntactic and semantic WS descriptions. Such network structures can be analyzed using complex network tools. We provide examples of networks extracted from a publicly available WS coll...

The paper describes a neural network-based script identification system which can be used in the machine reading of documents written in English, Hindi and Kannada language scripts. Script identification is a basic requirement in automation of document processing, in multi-script, multi-lingual environments. The system developed includes a feature extractor and a modular neural network. The fea...

Background The growing demand for biologicals produced by animal cells motivates the development of more efficient and reliable culture production processes. In the particular case of the industrial production of viral vaccines by Vero cells adhered on microcarriers, the cell propagation phases are mainly devoted to reach high cell density in less time while maintaining a good cell physiologica...

INDIGENOUSNESS IS AN IDENTITY CONSTRUCTED, SHAPED AND LIVED in the politicized context of contemporary colonialism. The communities, clans, nations and tribes we call Indigenous peoples are just that: Indigenous to the lands they inhabit, in contrast to and in contention with the colonial societies and states that have spread out from Europe and other centres of empire. It is this oppositional,...

Term extraction is an important problem in natural language processing. In this paper, we propose a language independent statistical corpus-based term extraction algorithm. In previous approaches, evaluation has been subjective, at best relying on a lexicographer’s judgement. We evaluate the quality of our term extractor by assessing its predictiveness on an unseen corpus using perplexity. Seco...

The University of Washington participated in Cold Start Slot Filling for TAC-KBP 2015 with a system that combines three methods: 1) its 2013 OPENIE-KBP system (Soderland et al., 2013); 2) a novel Implicit Relation Information Extractor (IMPLIE); and 3) MULTIR extractor (Hoffmann et al., 2011), trained on a combination of distant supervision and crowdsourced training instances. These three metho...

The lithium beam diagnostic at ASDEX Upgrade routinely delivers electron density profiles in the plasma edge by lithium beam impact excitation spectroscopy. An accurate background subtraction requires a periodically chopped lithium beam. A new, improved chopping system was developed and installed. It involves a voltage modulation for the extractor electrode and the beam deflection plates. The m...

We present the first efficient oblivious sampler that uses an optimal number of random bits, up to an arbitrary constant factor bigger than 1. Specifically, for any α > 0, it uses (1 +α)(m+ log γ−1) random bits to output d = poly( −1, log γ−1,m) sample points z1, . . . , zd ∈ {0, 1} such that for any function f : {0, 1} → [0, 1], Pr [ ∣∣∣ 1 d ∑di=1f(zi)−Ef ∣∣∣ ≤ ] ≥ 1− γ. Our proof is based on ...

We explore frame-level audio feature learning for chord recognition using artificial neural networks. We present the argument that chroma vectors potentially hold enough information to model harmonic content of audio for chord recognition, but that standard chroma extractors compute too noisy features. This leads us to propose a learned chroma feature extractor based on artificial neural networ...

Consider two random variables, X and Y . The mutual relation between the variables can vary between complete independence to complete dependency, when one variable is a deterministic function of the other. The measure of mutual information I(X ; Y ) quantifies the amount of dependency between X and Y , but states nothing about its nature. In this work we try to capture this dependency by using ...