9,576 research outputs found
A Type-coherent, Expressive Representation as an Initial Step to Language Understanding
A growing interest in tasks involving language understanding by the NLP
community has led to the need for effective semantic parsing and inference.
Modern NLP systems use semantic representations that do not quite fulfill the
nuanced needs for language understanding: adequately modeling language
semantics, enabling general inferences, and being accurately recoverable. This
document describes underspecified logical forms (ULF) for Episodic Logic (EL),
which is an initial form for a semantic representation that balances these
needs. ULFs fully resolve the semantic type structure while leaving issues such
as quantifier scope, word sense, and anaphora unresolved; they provide a
starting point for further resolution into EL, and enable certain structural
inferences without further resolution. This document also presents preliminary
results of creating a hand-annotated corpus of ULFs for the purpose of training
a precise ULF parser, showing a three-person pairwise interannotator agreement
of 0.88 on confident annotations. We hypothesize that a divide-and-conquer
approach to semantic parsing starting with derivation of ULFs will lead to
semantic analyses that do justice to subtle aspects of linguistic meaning, and
will enable construction of more accurate semantic parsers.Comment: Accepted for publication at The 13th International Conference on
Computational Semantics (IWCS 2019
Spin Conductance in one-dimensional Spin-Phonon systems
We present results for the spin conductance of the one dimensional spin-1/2
Heisenberg and XY model coupled to phonons. We apply an approach based on the
Stochastic Series Expansion (Quantum Monte Carlo) method to evaluate the
conductance for a variety of phonon dispersions and values of spin-phonon
coupling. From our numerical simulations and analytical arguments, we derive
several scaling laws for the conductance.Comment: 7 pages, 9 figure
Stochastic Cluster Series expansion for quantum spin systems
In this paper we develop a cluster-variant of the Stochastic Series expansion
method (SCSE). For certain systems with longer-range interactions the SCSE is
considerably more efficient than the standard implementation of the Stochastic
Series Expansion (SSE), at low temperatures. As an application of this method
we calculated the T=0-conductance for a linear chain with a (diagonal) next
nearest neighbor interaction.Comment: 5 pages, 7 figure
World Rabies Day - a decade of raising awareness
World Rabies Day was set up in 2007 to raise global awareness about rabies, to provide information on how to prevent the disease in at-risk communities and support advocacy for increased efforts in rabies control. It is held annually on September 28th, with events, media outreach and other initiatives carried out by individuals, professionals, organisations and governments from the local to the international level. The Global Alliance for Rabies Control coordinates World Rabies Day, amplifying the campaign's reach through the provision of a central event platform and resources to support events across the world, the promotion of messages through key rabies stakeholders, and the implementation of specific activities to highlight particular issues. Over the last decade, more than 1,700 registered events have been held across the world and shared with others in the global rabies community. Events in canine rabies endemic countries, particularly in Africa and Asia, have increased over time. Beyond the individual events, World Rabies Day has gained the support of governments and international agencies that recognise its value in supporting existing rabies control initiatives and advocating for improvements. As the rabies landscape has changed, World Rabies Day remains a general day of awareness but has also become an integral part of national, regional and global rabies elimination strategies. The global adoption of 2030 as the goal for the elimination of rabies as a public health threat has led to even greater opportunities for World Rabies Day to make a sustainable impact on rabies, by bringing the attention of policy makers and donors to the ongoing situation and elimination efforts in rabies-endemic countries
Using Simple Alternative Hypothesis to Increase Statistical Power in Sparse Categorical Data
There are numerous statistical hypothesis tests for categorical data including Pearson\u27s Chi-Square goodness-of-fit test and other discrete versions of goodness-of-fit tests. For these hypothesis tests, the null hypothesis is simple, and the alternative hypothesis is composite which negates the simple null hypothesis. For power calculation, a researcher specifies a significance level, a sample size, a simple null hypothesis, and a simple alternative hypothesis. In practice, there are cases when an experienced researcher has deep and broad scientific knowledge, but the researcher may suffer from a lack of statistical power due to a small sample size being available. In such a case, we may formulate hypothesis testing based on a simple alternative hypothesis instead of the composite alternative hypothesis. In this article, we investigate how much statistical power can be gained via a correctly specified simple alternative hypothesis and how much statistical power can be lost under a misspecified alternative hypothesis, particularly when an available sample size is small
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