We present a simple Fokker-Planck model for the evolution of the number of atoms and the spatial distribution in a CO2 laser trap which is loaded from a magneto-optical trap ~MOT!. Deep CO2 laser traps can achieve very high densities, but reach equilibrium slowly compared to shallow traps. Equilibrium times range from milliseconds for shallow traps to seconds in traps which are deep compared to...

As the organizers of the ACL 2007 Deep Linguistic Processing workshop (Baldwin et al., 2007), we were asked to discuss our perspectives on the role of current trends in deep linguistic processing for parsing technology. We are particularly interested in the ways in which efficient, broad coverage parsing systems for linguistically expressive grammars can be built and integrated into application...

Deep neural networks are surprisingly efficient at solving practical tasks, but the theory behind this phenomenon is only starting to catch up with the practice. Numerous works show that depth is the key to this efficiency. A certain class of deep convolutional networks – namely those that correspond to the Hierarchical Tucker (HT) tensor decomposition – has been proven to have exponentially hi...

The paper contains a description of OPFI: Opinion Finder for the Polish Language (Wawer, 2016), a freely available tool for opinion target extraction. The goal of the tool is opinion finding: a task of identifying tuples composed of sentiment (positive or negative) and its target (about what or whom is the sentiment expressed). OPFI is not dependent on any particular method of sentiment identif...

Deep learning networks with convolution, pooling and subsampling are a special case of hierarchical architectures, which can be represented by trees (such as binary trees). Hierarchical as well as shallow networks can approximate functions of several variables, in particular those that are compositions of low dimensional functions. We show that the power of a deep network architecture with resp...

tirgan formation with lower cretaceous age (barremian-aptian) in the kopet-dagh basin consists of carbonate and siliciclastic rocks (calcareous shale and sandstone) which conformably lay between siliciclastic rocks of shurijeh formation below, and marly sarcheshmeh formation at the top. in this study, tirgan formation in two stratigraphic sections of abgarm (77 m in thickness) and sirzar (46 m ...

A new method of forming low-resistance, ultra-shallow p+ junctions for improved PMOSFET short-channel performance is presented. Ultra-shallow Sio,8Geo,2/Si heterojunctions self-aligned to the gate electrode are formed by Ge ion implantation. Afterwards, sidewall spacers are formed and a deep B implant is performed to form the deep source/drain (S/D) contact regions. Upon post-implant annealing,...

We present a methodology integrating hybrid and rule-based components for speeding up the development of a patent MT system. The methodology is suitable for highly inflecting languages and described on the example of translating patent claims from Russian into English. Based on different combinations of hybrid and rule-based components the system performs shallow or/and deep parsing and provide...

Deep neural networks are surprisingly efficient at solving practical tasks, but the theory behind this phenomenon is only starting to catch up with the practice. Numerous works show that depth is the key to this efficiency. A certain class of deep convolutional networks – namely those that correspond to the Hierarchical Tucker (HT) tensor decomposition – has been proven to have exponentially hi...

We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsi...