wanyu/IteraTeR_v2 huggingface dataset:
Original:  The method utilizes the strict monotonic property in TTS with extra constraints on monotonic  attention that the alignments between inputs and outputs sequence must be not only monotonic but also allowing no skipping on the inputs.
Revised:  The method utilizes the strict monotonic property in TTS with extra constraints on monotonic attention that the alignments between inputs and outputs sequence must be not only monotonic but allowing no skipping on the inputs.
Edit intent: fluency
Original:  In inference, soft attention could be used to evade mismatch between training and test in monotonic hard attention .
Revised:  In inference, soft attention could be used to evade mismatch between training and inference .
Edit intent: clarity
Original:  The experimental results show that the proposed method could achieve significant improvements in robustness on various out-of-domain scenarios  , without any regression on the in-domain test set .
Revised:  The experimental results show that the proposed method could achieve significant improvements in robustness on out-of-domain scenarios , without any regression on the in-domain test set .
Edit intent: clarity
Original:  In this paper, we present a thorough classification regarding the parameterised complexity of these problems under a wealth of different parameterisations.
Revised:  In this paper, we present a thorough classification regarding the parameterised complexity under a wealth of different parameterisations.
Edit intent: clarity
Original:  Furthermore, we analyse all possible Boolean fragments of these problems in the constraint satisfaction approach with co-clones  .
Revised:  Furthermore, we analyse all possible Boolean fragments of these problems in Schaefer's constraint satisfaction framework with co-clones .
Edit intent: clarity
Original: In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the necessary programs for executing certain computation tasks at MEC servers.
Revised: In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the necessary programs for executing computation tasks at MEC servers.
Edit intent: clarity
Original:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision  . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Revised:  To further reduce the complexity in solving the ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Edit intent: clarity
Original:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision  . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Revised:  To further reduce the complexity in solving a large-size ILP, we exploit the underlying structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Edit intent: clarity
Original:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision  . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Revised:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating minimization technique to update the caching placement and offloading decision . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Edit intent: clarity
Original:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision  . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Revised:  To further reduce the complexity in solving a large-size ILP, we exploit the graphical structures in optimal solutions, and devise a reduced-complexity alternating optimization technique to iteratively update the caching placement and offloading decision alternately . Simulations show that the proposed techniques achieve substantial resource savings compared to other representative benchmark methods.
Edit intent: coherence
Original:  However, the decision processes that support  reports about mental contents remain poorly understood.
Revised:  The decision processes that support reports about mental contents remain poorly understood.
Edit intent: coherence
Original:  However, the decision processes that support  reports about mental contents remain poorly understood.
Revised:  However, the decision processes that support these reports about mental contents remain poorly understood.
Edit intent: clarity
Original: As the standardization of fifth generation (5G) communications has been completed  and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Revised: As the standardization of fifth generation (5G) communications has been completed , and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Edit intent: fluency
Original: As the standardization of fifth generation (5G) communications has been completed, and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Revised: The standardization of fifth generation (5G) communications has been completed, and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Edit intent: coherence
Original: As the standardization of fifth generation (5G) communications has been completed, and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Revised: As the standardization of fifth generation (5G) communications has been completed, and the 5G network should be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Edit intent: clarity
Original: As the standardization of fifth generation (5G) communications has been completed, and the 5G network will be commercially launched in 2020, the research visioning and planning of sixth generation (6G) communications are being initiated.
Revised: As the standardization of fifth generation (5G) communications has been completed, and the 5G network will be commercially launched in 2020. As a result, the visioning and planning of sixth generation (6G) communications are being initiated.
Edit intent: coherence
Original:  6G communications are expected to be the next focus in wireless communication and networking and aim to provide remarkable communication services to meet the future demands in the 2030s.
Revised:  6G communications are expected to be the next focus in wireless communication and networking and aim to provide communication services for the future demands in the 2030s.
Edit intent: clarity
Original:  6G communications are expected to be the next focus in wireless communication and networking and aim to provide remarkable communication services to meet the future demands in the 2030s.
Revised:  6G communications are expected to be the next focus in wireless communication and networking and aim to provide remarkable communication services to meet the future demands of the 2030s.
Edit intent: clarity
Original:  We believe that the human-centric mobile communications will still be the most important application of 6G and  6G network should be human-centric.
Revised:  We believe that the human-centric mobile communications will still be the most important application of 6G and the 6G network should be human-centric.
Edit intent: fluency
Original:  Following this rationale , high security, secrecy, and privacy are the all-important features of 6G , which shall be paid special attention from the wireless research community.
Revised:  Following this rationale , high security, secrecy, and privacy should be key features of 6G , which shall be paid special attention from the wireless research community.
Edit intent: clarity
Original:  Following this rationale , high security, secrecy, and privacy are the all-important features of 6G , which shall be paid special attention from the wireless research community.
Revised:  Following this rationale , high security, secrecy, and privacy are the all-important features of 6G and should be given particular attention by the wireless research community.
Edit intent: clarity
Original:  To promote the research and the human-centric design ideology for 6G communications, we imagine in this article a comprehensive and systematic framework of 6G with five slices, key features, and enabling technologies.
Revised:  To support this vision, we provide a systematic framework in which potential application scenarios of 6G with five slices, key features, and enabling technologies.
Edit intent: clarity
Original:  Furthermore, we briefly discuss the issues of 6G beyond communication technologies .
Revised:  Furthermore, we briefly discuss the issues of 6G and discuss the required communication technologies. We also explore the issues beyond communication technologies .
Edit intent: coherence
Original:  Overall, the article aims to provide an envisioned picture of 6G and serve as a research guideline in the post-5G era .
Revised:  Overall, the article aims to provide an envisioned picture of 6G .
Edit intent: clarity
Original:  Such " diversity sweet spots " (DSSs) are ubiquitous in biology and technology, and explain why large heterogeneities exist in biological and technical components and how both engineers and natural selection routinely evolve fast and accurate systems from imperfect hardware.
Revised:  Such `` diversity sweet spots " (DSSs) are ubiquitous in biology and technology, and explain why large heterogeneities exist in biological and technical components and how both engineers and natural selection routinely evolve fast and accurate systems from imperfect hardware.
Edit intent: fluency
Original:  Such " diversity sweet spots " (DSSs) are ubiquitous in biology and technology, and explain why large heterogeneities exist in biological and technical components and how both engineers and natural selection routinely evolve fast and accurate systems from imperfect hardware.
Revised:  Such " diversity sweet spots '' (DSSs) are ubiquitous in biology and technology, and explain why large heterogeneities exist in biological and technical components and how both engineers and natural selection routinely evolve fast and accurate systems from imperfect hardware.
Edit intent: fluency
Original: Human sensorimotor control exhibits remarkable speed and accuracy, as celebrated in Fitts' law for reaching .
Revised: Human sensorimotor control exhibits remarkable speed and accuracy, and the tradeoff between them is encapsulated in Fitts' law for reaching .
Edit intent: clarity
Original:  Here we develop a theory that connects the SATs at the system and hardware levels, and use it to explain Fitts' law for reaching and related laws.
Revised:  Here we develop a theory that connects the SATs at the system and hardware levels, and use it to explain Fitts' Law for reaching and related laws.
Edit intent: fluency
Original:  These results show that diversity between hardware components can be exploited to achieve both fast and accurate control performance using slow or inaccurate hardware.
Revised:  These results show that diversity between hardware components is exploited to achieve both fast and accurate control performance using slow or inaccurate hardware.
Edit intent: clarity
Original:  These results show that diversity between hardware components can be exploited to achieve both fast and accurate control performance using slow or inaccurate hardware.
Revised:  These results show that diversity between hardware components can be exploited to achieve both fast and accurate control performance despite slow or inaccurate hardware.
Edit intent: clarity
Original:  Although information theory provides tools to quantify the information produced by a system, traditional metrics do not account for the inefficient and biased ways that humans process this information.
Revised:  Although information theory provides tools to quantify the information produced by a system, traditional metrics do not account for the inefficient ways that humans process this information.
Edit intent: clarity
Original:  Together, these results suggest that many real networks are constrained by the pressures of information transmission, and that these pressures select for specific structural features.
Revised:  Together, these results suggest that many communication networks are constrained by the pressures of information transmission, and that these pressures select for specific structural features.
Edit intent: clarity
Original:  We then re-cast robust optimization as a tool for enforcing human priors on the features learned by deep neural networks.
Revised:  In this work, we show that robust optimization can be re-cast as a tool for enforcing human priors on the features learned by deep neural networks.
Edit intent: clarity
Original:  We then re-cast robust optimization as a tool for enforcing human priors on the features learned by deep neural networks.
Revised:  We then re-cast robust optimization as a tool for enforcing priors on the features learned by deep neural networks.
Edit intent: clarity
Original:  Our code and models for reproducing these results is available at URL 
Revised:  Our code and models for reproducing these results is available at URL .
Edit intent: fluency
Original: We describe Fugu, a continual learning algorithm for bitrate selection in streaming video.
Revised: We describe the results of a randomized controlled trial of video-streaming algorithms for bitrate selection in streaming video.
Edit intent: clarity
Original:  We then use our introduced methods to investigate in a few example systems how the drift-diffusive dynamics of microstructures compare with and without hydrodynamic coupling within the curved  interface.
Revised:  We then use our introduced methods to investigate a few example systems how the drift-diffusive dynamics of microstructures compare with and without hydrodynamic coupling within the curved interface.
Edit intent: clarity
Original:  The ShEMO is available in www.shemodb.com for academic purposes free of charge to provide a baseline for further research on Persian emotional speech.
Revised:  The ShEMO is available for academic purposes free of charge to provide a baseline for further research on Persian emotional speech.
Edit intent: clarity
Original:  In fact, most neuropsychological batteries used in cognitive assessment have a component related to speech and language where clinicians elicit speech from patients for subjective evaluation across a broad set of dimensions.
Revised:  In fact, most neuropsychological testing batteries have a component related to speech and language where clinicians elicit speech from patients for subjective evaluation across a broad set of dimensions.
Edit intent: clarity
Original:  This work relies on extracting a set of features from recorded and transcribed speech for objective assessments of cognition , early diagnosis of neurological disease, and objective tracking of disease after diagnosis.
Revised:  This work relies on extracting a set of features from recorded and transcribed speech for objective assessments of cognition , early diagnosis of neurological disease, and tracking of disease after diagnosis.
Edit intent: fluency
Original:  We first generalize contextual bandit to leverage not only behavioral feedback (arm-level feedback ), but also verbal feedback (users' interest on categories, topics, etc. ).
Revised:  We first generalize contextual bandit to conversational contextual bandit. Conversational contextual bandit leverages not only behavioral feedback (arm-level feedback ), but also verbal feedback (users' interest on categories, topics, etc. ).
Edit intent: clarity
Original:  We also design several strategies for asking questions to further optimize the speed of learning . Experiments on synthetic data, Yelp data, and news recommendation data from Toutiao demonstrate the efficacy of the proposed algorithm.
Revised:  We also design several strategies for asking questions to further optimize the speed of learning . Experiments on synthetic data, as well as real datasets from Yelp and Toutiao, demonstrate the efficacy of the proposed algorithm.
Edit intent: clarity
Original: This work is a follow-up on a previous contribution ( ` Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ' SIAM Journal of Numerical Analysis 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Revised: This work is a follow-up to our previous contribution ( ` Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ' SIAM Journal of Numerical Analysis 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Edit intent: fluency
Original: This work is a follow-up on a previous contribution ( ` Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ' SIAM Journal of Numerical Analysis 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Revised: This work is a follow-up on a previous contribution ( " Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ' SIAM Journal of Numerical Analysis 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Edit intent: fluency
Original: This work is a follow-up on a previous contribution ( ` Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ' SIAM Journal of Numerical Analysis 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Revised: This work is a follow-up on a previous contribution ( ` Convergence of sparse collocation for functions of countably many Gaussian random variables (with application to elliptic PDEs) ", SIAM J. Numer. Anal., 2018), and contains further insights on some aspects of the solution of elliptic PDEs with lognormal diffusion coefficients using sparse grids.
Edit intent: clarity
Original:  advocating the use of Gaussian Leja points as introduced by Narayan and Jakeman in 2014 (` Adaptive Leja sparse grid constructions for stochastic collocation and high-dimensional approximation ',
Revised:  advocating the use of Gaussian Leja points as introduced by Narayan and Jakeman (" Adaptive Leja sparse grid constructions for stochastic collocation and high-dimensional approximation ',
Edit intent: coherence
Original:  SIAM Journal on Scientific Computing ) and then discuss the possible computational advantages of replacing the standard Karhunen-Lo\`eve expansion of the diffusion coefficient with the L\'evy-Ciesielski expansion, motivated by theoretical work of Bachmayr, Cohen, DeVore, and Migliorati in 2016 (` Sparse polynomial approximation of parametric elliptic PDEs. part II: lognormal coefficients ' ESAIMMathematical Modelling and Numerical Analysis , 2016)  .
Revised:  SIAM Journal on Scientific Computing ) and then discuss the possible computational advantages of replacing the standard Karhunen-Lo\`eve expansion of the diffusion coefficient with the L\'evy-Ciesielski expansion, motivated by theoretical work of Bachmayr, Cohen, DeVore, and Migliorati (" Sparse polynomial approximation of parametric elliptic PDEs. part II: lognormal coefficients ' ESAIMMathematical Modelling and Numerical Analysis , 2016) .
Edit intent: coherence
Original: Graph kernels are an instance of the class of R-Convolution kernels, which measure the similarity of objects by comparing their substructures.
Revised: Most graph kernels are an instance of the class of R-Convolution kernels, which measure the similarity of objects by comparing their substructures.
Edit intent: clarity
Original: The recent advent of IOT has increased the demand for enabling AI-based edge computing in several applications including healthcare monitoring systems , autonomous vehiclesetc.
Revised: The `Internet of Things' has brought increased demand for AI-based edge computing in several applications including healthcare monitoring systems , autonomous vehiclesetc.
Edit intent: clarity
Original: The recent advent of IOT has increased the demand for enabling AI-based edge computing in several applications including healthcare monitoring systems , autonomous vehiclesetc.
Revised: The recent advent of IOT has increased the demand for enabling AI-based edge computing in applications ranging from healthcare monitoring systems , autonomous vehiclesetc.
Edit intent: clarity
Original:  Although extreme quantization has proven to be a powerful tool to achieve significant compression over full-precision networks , it can result in significant degradation in performance for complex image classification tasks.
Revised:  Although extreme quantization has proven to be a powerful tool to achieve significant compression over full-precision networks . However, quantization can result in significant degradation in performance for complex image classification tasks.
Edit intent: coherence
Original:  Although extreme quantization has proven to be a powerful tool to achieve significant compression over full-precision networks , it can result in significant degradation in performance for complex image classification tasks.
Revised:  Although extreme quantization has proven to be a powerful tool to achieve significant compression over full-precision networks , it can result in substantial loss of performance for complex image classification tasks.
Edit intent: clarity
Original:  In thiswork , we propose a Principal Component Analysis (PCA) driven methodology to design mixed-precision, hybrid networks.
Revised:  To address this , we propose a Principal Component Analysis (PCA) driven methodology to design mixed-precision, hybrid networks.
Edit intent: coherence