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Register a new userComputing All Quantifier Scopes with CCG
حوسبة جميع نطاقات الكم مع CCG
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نقدم طريقة لتحسين جميع النطاقات الكمي التي يمكن استخراجها من اشتقاق CCG واحد.للقيام بذلك، نبني على اقتراح Steedman (1999، 2011) حيث يتم التعامل مع جميع الكميات الوجودية كدام Skolem.نقوم بتوسيع النهج من خلال إدخال تمثيل أفضل معبأ لجميع المواصفات الممكنة التي تتضمن أيضا عناوين العقدة حيث تحدث المواصفات.هذه العناوين ضرورية لاستعادة جميع القراءات المحتملة فقط.
We present a method for computing all quantifer scopes that can be extracted from a single CCG derivation. To do that we build on the proposal of Steedman (1999, 2011) where all existential quantifiers are treated as Skolem functions. We extend the approach by introducing a better packed representation of all possible specifications that also includes node addresses where the specifications happen. These addresses are necessary for recovering all, and only, possible readings.
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Tree-adjoining grammar (TAG) and combinatory categorial grammar (CCG) are two well-established mildly context-sensitive grammar formalisms that are known to have the same expressive power on strings (i.e., generate the same class of string languages)
. It is demonstrated that their expressive power on trees also essentially coincides. In fact, CCG without lexicon entries for the empty string and only first-order rules of degree at most 2 are sufficient for its full expressive power.
Existing techniques for mitigating dataset bias often leverage a biased model to identify biased instances. The role of these biased instances is then reduced during the training of the main model to enhance its robustness to out-of-distribution data
. A common core assumption of these techniques is that the main model handles biased instances similarly to the biased model, in that it will resort to biases whenever available. In this paper, we show that this assumption does not hold in general. We carry out a critical investigation on two well-known datasets in the domain, MNLI and FEVER, along with two biased instance detection methods, partial-input and limited-capacity models. Our experiments show that in around a third to a half of instances, the biased model is unable to predict the main model's behavior, highlighted by the significantly different parts of the input on which they base their decisions. Based on a manual validation, we also show that this estimate is highly in line with human interpretation. Our findings suggest that down-weighting of instances detected by bias detection methods, which is a widely-practiced procedure, is an unnecessary waste of training data. We release our code to facilitate reproducibility and future research.
Increasing data rate in optical communication systems leads to nonlinear electromagnet phenomenon in optical signal along fiber, and causes distortion in it.Thefiber dispersion is a linear phenomenon that causes difficulties toachieve high bit rate a
nd distance product.The limiting of nonlinear effects requireslow input power level, but this induces lowsignal to noise ratio. So, we search another solutions.
This paper studies Split Step Fourier Transform Algorithm (SSFTM) used to solve partial differential nonlinear Schrödinger equation (NLSE).Then, we use it for simulating optical signal propagating in fiber by using MATLAB program, and designing fiber optic block could add it to MATLAB Simulink Library. Finally ,in this paper, we achieved results for selecting important parameters in single mode fiber for high bit rate, for improving bit error rate and Qcoefficient.
We take the effective Hamiltonian operator until the sixth degree [18] and this operator has enabled us to convert from gauge theory with group SU(2) into the study of statistical quantum mechanics with the group SU(2) and this mean physically we hav
e converted from the study of an infinite number of particles and of freedom degrees (quarks- gluons-plasma) into study of three particles (Global) independed of space that mains nine of freedom degrees and specifically nine anharmonic oscillators and after that we apply Wigner’s mode [16] on homogenous modes remaining after quantization of the inhomogenous modes and we have concluded the relation of real-time evolution of the color magnetic energy and the color electric energy .
الأزمنة الحقيقية في حالات عدم التوازن
الانتقال الطوري لبلازما الكواركات و الغليونات
عدم التوازن في نظرية الحقل الكمي
نشر شبه تقليدي لحالة عدم التوازن
Real time in non-equilibrium
phase transition to quark-gluon-plasma
non-equilibrium in the quantum field theory
semi-classical expansion for non-equilibrium state
المزيد..
This Paper Attempts to study the latest advancements in High Performance Computing Technologies, Which Provides suitable environments, Solid infrastructure, Software and Hardware Components, allowing Scientists and Researchers to solve Math, Biology,
Machine Learning, Physics Simulations, and numerous other problems, Allowing significant breakthroughs in these fields.
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