4,651 research outputs found
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection
Modeling hypernymy, such as poodle is-a dog, is an important generalization
aid to many NLP tasks, such as entailment, coreference, relation extraction,
and question answering. Supervised learning from labeled hypernym sources, such
as WordNet, limits the coverage of these models, which can be addressed by
learning hypernyms from unlabeled text. Existing unsupervised methods either do
not scale to large vocabularies or yield unacceptably poor accuracy. This paper
introduces distributional inclusion vector embedding (DIVE), a
simple-to-implement unsupervised method of hypernym discovery via per-word
non-negative vector embeddings which preserve the inclusion property of word
contexts in a low-dimensional and interpretable space. In experimental
evaluations more comprehensive than any previous literature of which we are
aware-evaluating on 11 datasets using multiple existing as well as newly
proposed scoring functions-we find that our method provides up to double the
precision of previous unsupervised embeddings, and the highest average
performance, using a much more compact word representation, and yielding many
new state-of-the-art results.Comment: NAACL 201
Developing courseware to support online discussion
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (p. 55).For my Master of Engineering thesis, I designed and implemented an online discussion forum in an attempt to improve student learning. Aided with the help of Professor Jonathon Cummings 15.351 course (Introduction to Innovation and Entrepreneurship), I measured student and peer-to-peer interaction via online discussion boards and user-generated interest in the subject matter. Based on the data received from this discussion board, I have found that students have their own optimal learning environments, and that anonymity can affect the way students interact with one another.by Benjamin Luke Wang.M.Eng
Compound effect of EHD and surface roughness in pool boiling and CHF with R-123
This article is a post-print version of the fianl published article which may be accessed at the link below.Saturated pool boiling of R-123 at 1 bar, including the critical heat flux (CHF), was enhanced by modifying the surface characteristics and applying a high intensity electrostatic field, the latter termed electrohydrodynamic (and abbreviated EHD) enhancement. The heat flux was varied from very low values in the natural convection regime up to CHF. Experiments were performed with increasing and decreasing heat flux to study boiling hysteresis without and with EHD. Boiling occurred on the sand blasted surface of a
cylindrical copper block with embedded electrical heating elements, with standardized surface parameter Pa = 3.5 ÎŒm. The electric field was generated by a potential of 5 kV to 25 kV, applied through a 40 mm diameter circular electrode of ss-304 wire mesh, aperture size 5.1 mm, located at distances of 5 - 60 mm from the surface, with most of the data obtained for 20 mm. The data for the rough surface were compared with earlier data for a smooth surface and indicated a significant increase in the heat transfer rates. EHD produced a further increase in the heat transfer rates, particularly at low heat flux values and near the CHF. Boiling hysteresis was reduced progressively by EHD and eliminated at high field strength.This work was supported by Government of Pakistan under a scholarship programme
Modelocked mid-infrared frequency combs in a silicon microresonator
Mid-infrared (mid-IR) frequency combs have broad applications in molecular
spectroscopy and chemical/biological sensing. Recently developed
microresonator-based combs in this wavelength regime could enable portable and
robust devices using a single-frequency pump field. Here, we report the first
demonstration of a modelocked microresonator-based frequency comb in the mid-IR
spanning 2.4 {\mu}m to 4.3 {\mu}m. We observe high pump-to-comb conversion
efficiency, in which 40% of the pump power is converted to the output comb
power. Utilizing an integrated PIN structure allows for tuning the silicon
microresonator and controling modelocking and cavity soliton formation,
simplifying the generation, monitoring and stabilization of mid-IR frequency
combs via free-carrier detection and control. Our results significantly advance
microresonator-based comb technology towards a portable and robust mid-IR
spectroscopic device that operates at low pump powers.Comment: 8 pages, 5 figure
Synthesis of aza-rocaglates via ESIPT-mediated (3+2) photocycloaddition
Synthesis of aza-rocaglates, nitrogen-containing analogues of the rocaglate natural products, is reported. The route features ESIPT-mediated (3+2) photocycloaddition of 1-alkyl-2-aryl-3-hydroxyquinolinones with the dipolarophile methyl cinnamate. A continuous photoflow reactor was utilized for photocycloadditions. An array of compounds bearing the hexahydrocyclopenta[b]indole core structure was synthesized and evaluated in translation inhibition assays.R01 CA175744 - NCI NIH HHS; R01 GM073855 - NIGMS NIH HHS; R24 GM111625 - NIGMS NIH HHS; R35 GM118173 - NIGMS NIH HH
A Planar Generator for a Wave Energy Converter
This article presents a permanent magnet planar translational generator which is able to exploit multiple modes of sea wave energy extraction. Linear electrical generators have recently been studied for the exploitation of sea wave energy, but, to the best of our knowledge, no synchronous planar translational generator has been proposed. In this article, to maximize the energy extraction, we have considered all the potential modes of motion due to wave excitation and included them within the mathematical model of the proposed system. The principle of operation of the generator can be summarized as follows: the moving part (translator) of the generator is driven from the sea waves and induces and electromotive force (EMF) on the windings mounted to the armature. The movement of the translator is 2-D and, therefore, all the movement modes of the wave, except heave, can be exploited. The proposed mathematical model includes the dynamic equations of the translator and the electric equations of the windings. The coupling parameters (inductances and fluxes) have been determined by finite element method analysis. Optimization of the device has been performed by considering both, the parameters of the electromagnetic circuit, and, the parameters associated with the stochastic features of the wave
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