wanyu/IteraTeR_v2 huggingface dataset:
Original:  Analyzing data-driven and model-based estimates of Rt, we found a strong coupling of different regions, highlighting the necessity of organized , coordinated actions to control the spread of SARS-CoV-2.
Revised:  Analyzing data-driven and model-based estimates of Rt, we found a strong coupling of different regions, highlighting the necessity of organized and coordinated actions to control the spread of SARS-CoV-2.
Edit intent: fluency
Original:  We then consider Pareto optimality and introduce two new optimality notions  , and establish mostly tight bounds on the worst-case welfare loss for assignments satisfying these notions  .
Revised:  We then consider Pareto optimality , introduce two new optimality notions , and establish mostly tight bounds on the worst-case welfare loss for assignments satisfying these notions .
Edit intent: fluency
Original:  Much less research has covered trees as output, like in chemical molecule optimization or hint generation for intelligent tutoring systems.
Revised:  Much less research has investigates trees as output, like in chemical molecule optimization or hint generation for intelligent tutoring systems.
Edit intent: clarity
Original:  Much less research has covered trees as output, like in chemical molecule optimization or hint generation for intelligent tutoring systems.
Revised:  Much less research has covered trees as output, like in molecule optimization for drug discovery or hint generation for intelligent tutoring systems.
Edit intent: clarity
Original:  In this work, we propose  recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Revised:  In this work, we propose a novel autoencoder approach, called recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Edit intent: clarity
Original:  In this work, we propose  recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Revised:  In this work, we propose recursive tree grammar autoencoder (RTG-AE ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Edit intent: clarity
Original:  In this work, we propose  recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Revised:  In this work, we propose recursive tree grammar autoencoders (RTG-AEs ), which encodes trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Edit intent: fluency
Original:  In this work, we propose  recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Revised:  In this work, we propose recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decodes trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Edit intent: fluency
Original:  In this work, we propose  recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by a neural network that minimizes the variational autoencoder loss.
Revised:  In this work, we propose recursive tree grammar autoencoders (RTG-AEs ), which encode trees via a bottom-up parser and decode trees via a tree grammar, both controlled by neural networks that minimize the variational autoencoder loss.
Edit intent: fluency
Original:   Our key message is that combining grammar knowledge with recursive processing improves performance compared to using either grammar knowledge or non-sequential processing, but not both .
Revised:  Our key message is that this combination improves performance compared to using either grammar knowledge or non-sequential processing, but not both .
Edit intent: clarity
Original:  In particular, we show experimentally that our model improves autoencoding error, training time, and optimization score on four benchmark datasets compared to baselines from the literature.
Revised:  In particular, we show experimentally that our proposed method improves the autoencoding error, training time, and optimization score on four benchmark datasets compared to baselines from the literature.
Edit intent: clarity
Original:  There are countless researches that use SNS in novel manners, but machine learning (ML) has focused mainly in classification performance rather than interpretability and/or other goodness metrics.
Revised:  There are countless researches that use SNS in novel manners, but machine learning has focused mainly in classification performance rather than interpretability and/or other goodness metrics.
Edit intent: clarity
Original:  Despite that the classifier may be interpretable, resulting models are too complex to be considered comprehensible, making it impossible for humans to comprehend the actual decisions.
Revised:  Despite that the classifier may be interpretable, resulting models are too complex to be considered comprehensible, making it impossible for humans to understand the actual decisions.
Edit intent: clarity
Original:  We conducted exhaustive tests with five different datasets in order to evaluate classification performance, generalisation capacity and actual interpretability of the model.
Revised:  We conducted exhaustive tests with five different datasets in order to evaluate classification performance, generalisation capacity and complexity of the model.
Edit intent: clarity
Original:  Our results shows that our proposal is better and , by far, the most stable  in terms of accuracy, generalisation and comprehensibility.
Revised:  Results show that our proposal is better and , by far, the most stable in terms of accuracy, generalisation and comprehensibility.
Edit intent: clarity
Original:  Our results shows that our proposal is better and , by far, the most stable  in terms of accuracy, generalisation and comprehensibility.
Revised:  Our results shows that our proposal is better and the most stable in terms of accuracy, generalisation and comprehensibility.
Edit intent: clarity
Original:  Our results shows that our proposal is better and , by far, the most stable  in terms of accuracy, generalisation and comprehensibility.
Revised:  Our results shows that our proposal is better and , by far, the most stable one in terms of accuracy, generalisation and comprehensibility.
Edit intent: clarity
Original: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed)  .
Revised: We study the limiting behavior of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed) .
Edit intent: clarity
Original: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed)  .
Revised: We study convergence properties of the mixed strategies that result from a general class of optimal no-regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed) .
Edit intent: fluency
Original: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed)  .
Revised: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( for which all the Nash equilibria (NE) of the game are completely mixed) .
Edit intent: coherence
Original: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria (NE) of the game are completely mixed)  .
Revised: We study convergence properties of the mixed strategies that result from a general class of optimal no regret learning strategies in a repeated game setting where the stage game is any 2 by 2 competitive game ( i.e. game for which all the Nash equilibria of the game are completely mixed) .
Edit intent: clarity
Original:  We consider the class of strategies whose information set at each step is the empirical average of the opponent's realized play (and the step number) , that we call mean based strategies.
Revised:  We consider optimal no-regret strategies that are mean-based (i.e. information set at each step is the empirical average of the opponent's realized play (and the step number) , that we call mean based strategies.
Edit intent: clarity
Original:  Inspired by Hoare Type Theory in classical computing, we propose Quantum Hoare Type Theory (QHTT)  in which precise specifications about the modification to the quantum state can be provided within the type of a computation.
Revised:  Inspired by Hoare Type Theory in classical computing, we propose Quantum Hoare Type Theory (QHTT) , in which precise specifications about the modification to the quantum state can be provided within the type of a computation.
Edit intent: fluency
Original:  Inspired by Hoare Type Theory in classical computing, we propose Quantum Hoare Type Theory (QHTT)  in which precise specifications about the modification to the quantum state can be provided within the type of a computation.
Revised:  Inspired by Hoare Type Theory in classical computing, we propose Quantum Hoare Type Theory (QHTT) in which precise specifications about the modification to the quantum state can be provided within the type of computation.
Edit intent: fluency
Original:  This system model may represent a setting where the background emitter is a primary  , the transmitter is a secondary  , and the adversary is trying to fool the secondary  to transmit even though the channel is occupied by the primary  .
Revised:  This system model may represent a setting where the background emitter is a primary , the transmitter is a secondary user , and the adversary is trying to fool the secondary to transmit even though the channel is occupied by the primary .
Edit intent: clarity
Original:  This system model may represent a setting where the background emitter is a primary  , the transmitter is a secondary  , and the adversary is trying to fool the secondary  to transmit even though the channel is occupied by the primary  .
Revised:  This system model may represent a setting where the background emitter is a primary , the transmitter is a secondary , and the adversary is trying to fool the secondary user to transmit even though the channel is occupied by the primary .
Edit intent: clarity
Original:  This system model may represent a setting where the background emitter is a primary  , the transmitter is a secondary  , and the adversary is trying to fool the secondary  to transmit even though the channel is occupied by the primary  .
Revised:  This system model may represent a setting where the background emitter is a primary , the transmitter is a secondary , and the adversary is trying to fool the secondary to transmit even though the channel is occupied by the primary user .
Edit intent: clarity
Original: The current development of the vaccines for SARS-CoV-2 is unprecedented.
Revised: The current development of vaccines for SARS-CoV-2 is unprecedented.
Edit intent: fluency
Original:  However, little is knownabout the fine-grained public opinions on the coming vaccines.
Revised:  Little is known, however, about the nuanced public opinions on the coming vaccines.
Edit intent: clarity
Original:  We further aggregate the opinions at the state and country levels, and find that the percentage of the pro-vaccine group is lower in the Southeast part of the United States.
Revised:  We further aggregate opinions at the state and country levels, and find that the percentage of the pro-vaccine group is lower in the Southeast part of the United States.
Edit intent: fluency
Original:  Next, by conducting counterfactual analyses, we find that the U.S. public is most concerned about the safety, effectiveness, and political issues with regards to the potential vaccines for COVID-19.
Revised:  Next, by conducting counterfactual analyses, we find that the U.S. public is most concerned about the safety, effectiveness, and political issues regarding potential vaccines for COVID-19.
Edit intent: fluency
Original:  In particular, we also investigate the public opinions about the newly emerged mRNA vaccines and find the opinions vary significantly across the religious beliefs : There are proportionally more religious people in the anti-vaccine group.
Revised:  In particular, we also investigate public opinion about the newly emerged mRNA vaccines and find the opinions vary significantly across the religious beliefs : There are proportionally more religious people in the anti-vaccine group.
Edit intent: fluency
Original:  In particular, we also investigate the public opinions about the newly emerged mRNA vaccines and find the opinions vary significantly across the religious beliefs : There are proportionally more religious people in the anti-vaccine group.
Revised:  In particular, we also investigate the public opinions about the newly emerged mRNA vaccines and find opinions vary significantly across the religious beliefs : There are proportionally more religious people in the anti-vaccine group.
Edit intent: coherence
Original:  In particular, we also investigate the public opinions about the newly emerged mRNA vaccines and find the opinions vary significantly across the religious beliefs : There are proportionally more religious people in the anti-vaccine group.
Revised:  In particular, we also investigate the public opinions about the newly emerged mRNA vaccines and find the opinions vary significantly across by religious beliefs with proportionally more religious people in the anti-vaccine group.
Edit intent: clarity
Original:  To our best knowledge, this is the first large-scale social media-based study to analyze the public opinions on the potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Revised:  We believe this is the first large-scale social media-based study to analyze the public opinions on the potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Edit intent: clarity
Original:  To our best knowledge, this is the first large-scale social media-based study to analyze the public opinions on the potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Revised:  To our best knowledge, this is the first large-scale social media-based study to analyze public opinions on the potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Edit intent: fluency
Original:  To our best knowledge, this is the first large-scale social media-based study to analyze the public opinions on the potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Revised:  To our best knowledge, this is the first large-scale social media-based study to analyze the public opinions on potential COVID-19 vaccines that can inform more effective vaccine distribution policies and strategies.
Edit intent: fluency
Original:  Little is known, however, about the nuanced public opinions on the coming vaccines .
Revised:  Little is known, however, about the nuanced public opinions on the vaccines on social media .
Edit intent: clarity
Original:  We adopt a human-guided machine learning framework ( using more than 40,000 rigorously selected tweets from more than 20,000 distinct Twitter users ) to capture public opinions on the potential vaccines for SARS-CoV-2, classifying them into three groups: pro-vaccine, vaccine-hesitant, and anti-vaccine.
Revised:  We adopt a human-guided machine learning framework using more than 40,000 rigorously selected tweets from more than 20,000 distinct Twitter users ) to capture public opinions on the potential vaccines for SARS-CoV-2, classifying them into three groups: pro-vaccine, vaccine-hesitant, and anti-vaccine.
Edit intent: fluency
Original:  The anti-vaccine opinion is the strongest among the people who have the worst personal pandemic experience  . Next, by conducting counterfactual analyses, we find that the U.S. public is most concerned about the safety, effectiveness, and political issues regarding potential vaccines for COVID-19, and improving personal pandemic experience increases the vaccine acceptance level.
Revised:  People who have the worst personal pandemic experience . Next, by conducting counterfactual analyses, we find that the U.S. public is most concerned about the safety, effectiveness, and political issues regarding potential vaccines for COVID-19, and improving personal pandemic experience increases the vaccine acceptance level.
Edit intent: coherence
Original: Text-to-speech (TTS) offers the opportunity to compensate for a hearing loss at the source rather than correcting for it at the receiving end.
Revised: Text-to-speech (TTS) systems offer the opportunity to compensate for a hearing loss at the source rather than correcting for it at the receiving end.
Edit intent: clarity
Original:  This removes limitations such as time constraints for algorithms that amplify a sound individually and can lead to higher speech quality for hearing-impaired listeners .
Revised:  This removes limitations such as time constraints for algorithms that amplify a sound individually and can lead to higher speech quality .
Edit intent: clarity
Original:  Transfer learning led to a quick adaption of the produced spectra from original speech to individually amplified speech and gives us a way to train an individual TTS system efficiently.
Revised:  Transfer learning led to a quick adaptation of the produced spectra from original speech to individually amplified speech and gives us a way to train an individual TTS system efficiently.
Edit intent: fluency
Original:  In this paper, we explore the steady-state planning problem  of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
Revised:  In this paper, we explore this steady-state planning problem of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
Edit intent: fluency
Original:  In this paper, we explore the steady-state planning problem  of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
Revised:  In this paper, we explore the steady-state planning problem that consists of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
Edit intent: clarity
Original:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of  realizing the boundary conditions appropriately .
Revised:  Regarding the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of realizing the boundary conditions appropriately .
Edit intent: fluency
Original:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of  realizing the boundary conditions appropriately .
Revised:  Concerning the scheme, the arrangement of which quantity is represented where in discretized spacetime, including the question of realizing the boundary conditions appropriately .
Edit intent: clarity
Original:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of  realizing the boundary conditions appropriately .
Revised:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of appropriately realizing the boundary conditions appropriately .
Edit intent: fluency
Original:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of  realizing the boundary conditions appropriately .
Revised:  Concerning the scheme, what is nontrivial is the arrangement of which quantity is represented where in discretized spacetime, including the question of realizing the boundary conditions , is nontrivial .
Edit intent: clarity
Original:  In parallel, placing the problem in the thermodynamical framework proves beneficial regarding monitoring and controlling numerical artefacts - instability, dissipation error  and dispersion error.
Revised:  In parallel, placing the problem in the thermodynamical framework proves to be beneficial in regards to monitoring and controlling numerical artefacts - instability, dissipation error and dispersion error.
Edit intent: clarity
Original:  In parallel, placing the problem in the thermodynamical framework proves beneficial regarding monitoring and controlling numerical artefacts - instability, dissipation error  and dispersion error.
Revised:  In parallel, placing the problem in the thermodynamical framework proves beneficial regarding monitoring and controlling numerical artefacts - instability, dissipation error , and dispersion error.
Edit intent: fluency
Original:  This, in addition to the observed preciseness, speed  and resource-friendliness, makes the thermodynamically extended symplectic approach  presented here advantageous above commercial finite element software solutions.
Revised:  This, in addition to the observed preciseness, speed , and resource-friendliness, makes the thermodynamically extended symplectic approach presented here advantageous above commercial finite element software solutions.
Edit intent: fluency
Original:  This, in addition to the observed preciseness, speed  and resource-friendliness, makes the thermodynamically extended symplectic approach  presented here advantageous above commercial finite element software solutions.
Revised:  This, in addition to the observed preciseness, speed and resource-friendliness, makes the thermodynamically extended symplectic approach that is presented here advantageous above commercial finite element software solutions.
Edit intent: clarity
Original:  Our habit-formation model allows for both addictive ( \alpha=1 ) and non-addictive ( 0<\alpha<1 ) habits.
Revised:  Our habit-formation model allows for both addictive ( \alpha=1 ) and non-addictive model. 0<\alpha<1 ) habits.
Edit intent: fluency