14,065 research outputs found
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering
In this paper, we propose a novel end-to-end neural architecture for ranking
candidate answers, that adapts a hierarchical recurrent neural network and a
latent topic clustering module. With our proposed model, a text is encoded to a
vector representation from an word-level to a chunk-level to effectively
capture the entire meaning. In particular, by adapting the hierarchical
structure, our model shows very small performance degradations in longer text
comprehension while other state-of-the-art recurrent neural network models
suffer from it. Additionally, the latent topic clustering module extracts
semantic information from target samples. This clustering module is useful for
any text related tasks by allowing each data sample to find its nearest topic
cluster, thus helping the neural network model analyze the entire data. We
evaluate our models on the Ubuntu Dialogue Corpus and consumer electronic
domain question answering dataset, which is related to Samsung products. The
proposed model shows state-of-the-art results for ranking question-answer
pairs.Comment: 10 pages, Accepted as a conference paper at NAACL 201
Anomaly and Hawking radiation from regular black holes
We consider the Hawking radiation from two regular black holes, the minimal
model and the noncommutative black hole. The flux of Hawking radiation is
derived by applying the anomaly cancellation method proposed by Robinson and
Wilczek. Two regular black holes have the same radiation pattern except for the
detailed expression for the Hawking temperature. The resulting flux of the
energy-momentum tensor is shown to be precisely the same with the thermal flux
from each regular black hole at the Hawking temperature.Comment: 14 pages, 4 figure
Ray class fields generated by torsion points of certain elliptic curves
We first normalize the derivative Weierstrass -function appearing in
Weierstrass equations which give rise to analytic parametrizations of elliptic
curves by the Dedekind -function. And, by making use of this
normalization of we associate certain elliptic curve to a given
imaginary quadratic field and then generate an infinite family of ray class
fields over by adjoining to torsion points of such elliptic curve. We
further construct some ray class invariants of imaginary quadratic fields by
utilizing singular values of the normalization of , as the -coordinate
in the Weierstrass equation of this elliptic curve, which would be a partial
result for the Lang-Schertz conjecture of constructing ray class fields over
by means of the Siegel-Ramachandra invariant
Observation of Topologically Stable 2D Skyrmions in an Antiferromagnetic Spinor Bose-Einstein Condensate
We present the creation and time evolution of two-dimensional Skyrmion
excitations in an antiferromagnetic spinor Bose-Einstein condensate. Using a
spin rotation method, the Skyrmion spin textures were imprinted on a sodium
condensate in a polar phase, where the two-dimensional Skyrmion is
topologically protected. The Skyrmion was observed to be stable on a short time
scale of a few tens of ms but to have dynamical instability to deform its shape
and eventually decay to a uniform spin texture. The deformed spin textures
reveal that the decay dynamics involves breaking the polar phase inside the
condensate without having topological charge density flow through the boundary
of the finite-sized sample. We discuss the possible formation of half-quantum
vortices in the deformation process.Comment: 5 pages, 5 figure
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