Existing software systems for automated essay scoring can provide NLP researchers with opportunities to test certain theoretical hypotheses, including some derived from Centering Theory. In this study we employ the Educational Testing Service’s e-rater essay scoring system to examine whether local discourse coherence, as defined by a measure of Centering Theory’s Rough-Shift transitions, might ...

The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data analysis. Building sophisticated NLP applications requires dealing with modern machine learning (ML) technologies, which impedes enterprises from establishing successful projects. Our experience applied projects shows t...

In the field of Natural Language Processing (NLP), reinforcement learning (RL) has drawn attention as a viable method for training models. An agent is trained to interact with linguistic environment in order carry out given task using RL- based NLP, and learns from feedback form rewards or penalties. This been effectively used variety problems, including text summarization, conversation systems...

Misinformation threatens modern society by promoting distrust in science, changing narratives public health, heightening social polarization, and disrupting democratic elections financial markets, among a myriad of other societal harms. To address this, growing cadre professional fact-checkers journalists provide high-quality investigations into purported facts. However, these largely manual ef...

abstract background: neurolinguistic programming (nlp) refers to the science and art of reaching success and perfection. it is a collection of the skills based on human beings’ psychological characteristics through which the individuals obtain the ability to use their personal capabilities as much as possible. this study aimed to investigate the efficacy of nlp training on mental health in nurs...

Recent road trials have shown that guaranteeing the safety of driving decisions is essential for wider adoption autonomous vehicle technology. One promising direction to pose requirements as planning constraints in nonlinear, nonconvex optimization problems motion synthesis. However, many implementations this approach are limited by uncertain convergence and local optimality solutions achieved,...

Space mission planning and spacecraft design are tightly coupled need to be considered together for optimal performance; however, this integrated optimization problem results in a large-scale mixed-integer nonlinear programming (MINLP) problem, which is challenging solve. In response challenge, paper proposes new solution approach based on decomposition-based via augmented Lagrangian coordinati...

We consider strategies for integrated design and control through the robust and efficient solution of a mixed-integer dynamic optimization MIDO) problem. The algorithm is based on the transformation of the MIDO problem into a mixed-integer nonlinear programming (MINLP) rogram. In this approach, both the manipulated and controlled variables are discretized using a simultaneous dynamic optimizati...

Explicit models representing the response variables as functions of control are standard in virtually all scientific fields. For these models, there is a vast literature on optimal design experiments (ODoE) to provide good estimates parameters with use minimal resources. Contrarily, ODoE for implicit more complex and has not been systematically addressed. Nevertheless, practical examples where ...