wanyu/IteraTeR_full_sent huggingface dataset:
Original: This paper evaluates the dynamic impact of various policies , such as school, business, and restaurant closures, adopted by the US states on the growth rates of confirmed Covid-19 cases and  social distancing behavior measured by Google Mobility Reports, where we take into consideration of people's voluntarily behavioral response to new information of transmission risks.
Revised: This paper evaluates the dynamic impact of various policies adopted by US states on the growth rates of confirmed Covid-19 cases and social distancing behavior measured by Google Mobility Reports, where we take into consideration of people's voluntarily behavioral response to new information of transmission risks.
Edit intent: clarity
Original: This paper evaluates the dynamic impact of various policies , such as school, business, and restaurant closures, adopted by the US states on the growth rates of confirmed Covid-19 cases and  social distancing behavior measured by Google Mobility Reports, where we take into consideration of people's voluntarily behavioral response to new information of transmission risks.
Revised: This paper evaluates the dynamic impact of various policies , such as school, business, and restaurant closures, adopted by the US states on the growth rates of confirmed Covid-19 cases and deaths as well as social distancing behavior measured by Google Mobility Reports, where we take into consideration of people's voluntarily behavioral response to new information of transmission risks.
Edit intent: meaning-changed
Original: This paper evaluates the dynamic impact of various policies , such as school, business, and restaurant closures, adopted by the US states on the growth rates of confirmed Covid-19 cases and  social distancing behavior measured by Google Mobility Reports, where we take into consideration of people's voluntarily behavioral response to new information of transmission risks.
Revised: This paper evaluates the dynamic impact of various policies , such as school, business, and restaurant closures, adopted by the US states on the growth rates of confirmed Covid-19 cases and social distancing behavior measured by Google Mobility Reports, where we take into consideration people's voluntarily behavioral response to new information of transmission risks.
Edit intent: fluency
Original:  Using the US state-level data, our analysis finds that both policies and information on transmission risks are important determinants of people's social distancing behavior, and shows that a change in policies explains a large fraction of observed changes in social distancing behavior.
Revised:  Our analysis finds that both policies and information on transmission risks are important determinants of people's social distancing behavior, and shows that a change in policies explains a large fraction of observed changes in social distancing behavior.
Edit intent: clarity
Original:  Using the US state-level data, our analysis finds that both policies and information on transmission risks are important determinants of people's social distancing behavior, and shows that a change in policies explains a large fraction of observed changes in social distancing behavior.
Revised:  Using the US state-level data, our analysis finds that both policies and information on transmission risks are important determinants of Covid-19 cases and deaths and shows that a change in policies explains a large fraction of observed changes in social distancing behavior.
Edit intent: meaning-changed
Original:  Our counterfactual experiments indicate that removing all policies would have lead to 30 to 200 times more additional cases by late May.
Revised:  Our counterfactual experiments suggest that nationally mandating face masks for employees on April 1st could have reduced the growth rate of cases and deaths by more than 10 percentage points in late April, and could have led to as much as 17 to 200 times more additional cases by late May.
Edit intent: meaning-changed
Original:  Our counterfactual experiments indicate that removing all policies would have lead to 30 to 200 times more additional cases by late May. Removing only the non-essential businesses closures (while maintaining  restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Revised:  Our counterfactual experiments indicate that removing all policies would have lead to 30 to 55 percent less deaths nationally by the end of May, which roughly translates into 17 to 55 thousand saved lives. Our estimates imply that removing non-essential businesses closures (while maintaining restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Edit intent: meaning-changed
Original:  Removing only the non-essential businesses closures (while maintaining  restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Revised:  Removing only the non-essential business closures (while maintaining restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Edit intent: fluency
Original:  Removing only the non-essential businesses closures (while maintaining  restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Revised:  Removing only the non-essential businesses closures (while maintaining school closures, restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May.
Edit intent: meaning-changed
Original:  Removing only the non-essential businesses closures (while maintaining  restrictions on movie theaters and restaurants) would have increased the weekly growth rate of cases between -0.02 and 0.06 and would have lead to -10\% to 40\% more cases by late May. Finally, nationally mandating face masks for employees on April 1st would have reduced the case growth rate by 0.1-0.25. This leads to 30\% to 57\% fewer reported cases by late May , which translates into, roughly, 30-57 thousand saved lives .
Revised:  Removing only the non-essential businesses closures (while maintaining restrictions on movie theaters and restaurants) could have led to -20 to 60 percent more cases and deaths by the end of May. We also find that, without stay-at-home orders, cases would have been larger by 25 to 170 percent, which implies that 0.5 to 3.4 million more Americans could have been infected if stay-at-home orders had not been implemented. Finally, not having implemented any policies could have led to at least a 7 fold increase with an uninformative upper bound in cases (and deaths) by the end of May in the US, with considerable uncertainty over the effects of school closures, which had little cross-sectional variation .
Edit intent: meaning-changed
Original:  We provide an algorithm, based on a piecewise linear approximation of the logarithm of epidemic observables, allowing one to monitor the epidemic .
Revised:  We provide an algorithm, based on a piecewise linear function of time. This allows us to distinguish the different phases of the epidemic, and to identify the delay between sanitary measures and their influence on the load of EMS. This also leads to an algorithm, allowing one to monitor the epidemic .
Edit intent: meaning-changed
Original:  We provide an algorithm, based on a piecewise linear approximation of the logarithm of epidemic observables, allowing one to monitor the epidemic . Our methods combine ideas from several fields of mathematics: tropical geometry, Perron--Frobenius theory , probability and optimization, transport PDE in population dynamics .
Revised:  We provide an algorithm, based on a piecewise linear approximation of the logarithm of epidemic observables, allowing one to detect epidemic resurgences. We rely on a transport PDE epidemiological model, and we use methods from Perron-Frobenius theory and tropical geometry .
Edit intent: meaning-changed
Original: The equilibrium configurations of a two dimensional planar bistable nematic liquid crystal device are modelled by a system of second order semi-linear elliptic partial differential equations with non-homogeneous boundary conditions. In this article, Nitsche's method is applied to approximate the solution of this non-linear model.
Revised: The equilibrium configurations of a two dimensional planar bistable nematic liquid crystal device are modelled by a system of second order semi-linear elliptic partial differential equations with a lower order cubic nonlinear term, and inhomogeneous Dirichlet boundary conditions, relevant for two-dimensional bistable liquid crystal devices, within a reduced Landau-de Gennes framework. The main results are (i) a priori error estimates for the energy norm and the L^2 norm, within the Nitsche's method is applied to approximate the solution of this non-linear model.
Edit intent: meaning-changed
Original: %DIFDELCMD < {\it %%% A priori and  {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and  sufficiently fine triangulation .
Revised: %DIFDELCMD < {\it %%% and discontinuous Galerkin frameworks under milder regularity assumptions on the exact solution and {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and sufficiently fine triangulation .
Edit intent: meaning-changed
Original: %DIFDELCMD < {\it %%% A priori and  {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and  sufficiently fine triangulation .
Revised: %DIFDELCMD < {\it %%% A priori and (ii) a reliable and efficient {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and sufficiently fine triangulation .
Edit intent: meaning-changed
Original: %DIFDELCMD < {\it %%% A priori and  {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and  sufficiently fine triangulation .
Revised: %DIFDELCMD < {\it %%% A priori and {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and a sufficiently fine triangulation .
Edit intent: fluency
Original: %DIFDELCMD < {\it %%% A priori and  {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and  sufficiently fine triangulation . Optimal order%DIFDELCMD < {\it %%% a priori error estimates in L^2 norm is also established.
Revised: %DIFDELCMD < {\it %%% A priori and {\it a posteriori} energy norm analysis is established for a sufficiently large penalization parameter and sufficiently fine triangulation %DIFDELCMD < {\it %%% a priori error estimates in L^2 norm is also established.
Edit intent: coherence
Original: Aquatic biospheres reliant on oxygenic photosynthesis are expected to play an important role on Earth-like planets  with large-scale oceans insofar as carbon fixation (i.e., biosynthesis URLanic compounds) is concerned.
Revised: Aquatic biospheres reliant on oxygenic photosynthesis are expected to play an important role on Earth-like planets endowed with large-scale oceans insofar as carbon fixation (i.e., biosynthesis URLanic compounds) is concerned.
Edit intent: clarity
Original:  We show that many salient properties, such as the depth of the photosynthesis zone and the net primary productivity (i.e., the effective rate of carbon fixation), are sensitive to T_W, and eventually decline substantially as the ocean temperature is increased.
Revised:  We show that many salient properties, such as the depth of the photosynthesis zone and the net primary productivity (i.e., the effective rate of carbon fixation), are sensitive to PAR flux and T_W and decline substantially when the former is decreased or the latter is increased.
Edit intent: meaning-changed
Original:  The resulting estimators are  locally efficient, polynomial-degree-robust, and inexpensive since the quasi-equilibration only goes over edge patches and can be realized without solutions of patch problems by a sweep through tetrahedra around every mesh edge.
Revised:  The resulting estimators are reliable, locally efficient, polynomial-degree-robust, and inexpensive since the quasi-equilibration only goes over edge patches and can be realized without solutions of patch problems by a sweep through tetrahedra around every mesh edge.
Edit intent: clarity
Original:  The resulting estimators are  locally efficient, polynomial-degree-robust, and inexpensive since the quasi-equilibration only goes over edge patches and can be realized without solutions of patch problems by a sweep through tetrahedra around every mesh edge.
Revised:  The resulting estimators are locally efficient, polynomial-degree-robust, and inexpensive . They are constructed by a broken patchwise equilibration which, in particular, does not produce a globally H(curl)-conforming flux. The equilibration is only related to edge patches and can be realized without solutions of patch problems by a sweep through tetrahedra around every mesh edge.
Edit intent: meaning-changed
Original:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each each agent mints one coin in only one community at each timestep.
Revised:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each each agent mints one coin in only one community at each timestep.
Edit intent: fluency
Original:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each each agent mints one coin in only one community at each timestep.
Revised:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each agent mints one coin in only one community at each timestep.
Edit intent: fluency
Original:  We show that currency networks are sybil-resilient, in the sense that sybils  affect only the communities that harbour them . Furthermore, if a currency network has a subnet of genuine currency communities , then distributive justicecan be achieves among all the owners of the subnet .
Revised:  We show that currency networks are sybil-resilient, in the sense that sybils affect only the communities that harbour them , and not hamper the ability of genuine (sybil-free)communities in a network to achieve distributed justice .
Edit intent: clarity
Original:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each agent mints one coin in only one community at each timestep.
Revised:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by , where each agent mints one coin in only one community at each timestep.
Edit intent: clarity
Original:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting , where each agent mints one coin in only one community at each timestep.
Revised:  Our main theorem shows that a currency network, where agents can be members of more than one currency community, can achieve distributive justice globally across the network by joint egalitarian minting joint egalitarian minting, whereby each agent mints one coin in only one community at each timestep.
Edit intent: clarity
Original:  Equality and distributive justice can be achieved among people that own the computational agents of a currency community provided that the agents are genuine (unique and singular). We show that currency networks are sybil-resilient, in the sense that sybils (fake or duplicate agents) affect only the communities that harbour them, and not hamper the ability of genuine (sybil-free)communities in a network to achieve distributed justice.
Revised:  Specifically, we show that a sufficiently large intersection between two communities -- relative to the gap in their productivity -- will cause the exchange rates between their currencies to converge to 1:1, resulting in global distributive justice.
Edit intent: meaning-changed
Original:  The benefits of MaChAmp are its flexible configuration options, and the support of a variety of NLP tasks in a uniform toolkit, from text classification to sequence labeling and dependency parsing .
Revised:  The benefits of MaChAmp are its flexible configuration options, and the support of a variety of NLP tasks in a uniform toolkit, from text classification and sequence labeling to dependency parsing, masked language modeling, and text generation .
Edit intent: meaning-changed
Original:  The forward operator, mapping from a sequence space to an arbitrary Banach space, typically an L^2-space, is assumed to satisfies a two-sided Lipschitz condition with respect to a weighted l ^2-norm and the norm of the image space.
Revised:  The forward operator, mapping from a sequence space to an arbitrary Banach space, typically an L^2-space, is assumed to satisfies a two-sided Lipschitz condition with respect to a weighted \ell ^2-norm and the norm of the image space.
Edit intent: meaning-changed
Original:  The forward operator, mapping from a sequence space to an arbitrary Banach space, typically an L^2-space, is assumed to satisfies a two-sided Lipschitz condition with respect to a weighted \ell^2-norm and the norm of the image space.
Revised:  The forward operator, mapping from a sequence space to an arbitrary Banach space, typically an L^2-space, is assumed to satisfy a two-sided Lipschitz condition with respect to a weighted \ell^2-norm and the norm of the image space.
Edit intent: fluency
Original:  As a standard example we discuss wavelet regularization in Besov spaces B^r_{1,1}  .
Revised:  As a standard example we discuss wavelet regularization in Besov spaces B^r_{1,1} . In this setting we demonstrate in numerical simulations for a parameter identification problem in a differential equation that our theoretical results correctly predict improved rates of convergence for piecewise smooth unknown coefficients .
Edit intent: meaning-changed
Original:  We present ExplainIt, a review summarization system centered around opinion explainability: the simple notion of high-level opinions (e.g. "noisy room") being explainable by lower-level ones (e.g., "loud fridge").
Revised: The Web is a major resource of both factual and subjective information. While there are significant efforts URLanize factual information into knowledge bases, there is much less work URLanizing opinions, which are abundant in subjective data, into a structured format. We present ExplainIt, a review summarization system centered around opinion explainability: the simple notion of high-level opinions (e.g. "noisy room") being explainable by lower-level ones (e.g., "loud fridge").
Edit intent: meaning-changed
Original:  We present ExplainIt, a review summarization system centered around opinion explainability: the simple notion of high-level opinions (e.g. "noisy room") being explainable by lower-level ones (e.g., "loud fridge"). ExplainIt utilizes a combination of supervised and unsupervised components to mine the opinion phrasesfrom reviews URLanize them in an Opinion Causality Graph (OCG), a novel semi-structured representation which summarizes causal relations. To construct an OCG, we cluster semantically similar opinions in single nodes, thus canonicalizing opinion paraphrases, and draw directed edges between node pairs that are likely connected by a causal relation.
Revised:  We present ExplainIt, a system that extracts URLanizes opinions into an opinion graph, which are useful for downstream applications such as generating explainable review summaries and facilitating search over opinion phrases. In such graphs, a node represents a set of semantically similar opinions in single nodes, thus canonicalizing opinion paraphrases, and draw directed edges between node pairs that are likely connected by a causal relation.
Edit intent: clarity
Original:  To construct an OCG, we cluster semantically similar opinions in single nodes, thus canonicalizing opinion paraphrases, and draw directed edges between node pairs that are likely connected by a causal relation. OCGs can be used to generate structured summaries at different levels of granularity and for certain aspects of interest, while simultaneously providing explanations . In this paper, we present the system's individual components and evaluate their effectiveness on their respective sub-tasks, where we report substantial improvements over baselines across two domains. Finally, we validate these results with a user study, showing that ExplainIt produces reasonable opinion explanations according to human judges .
Revised:  To construct an OCG, we cluster semantically similar opinions extracted from reviews and an edge between two nodes signifies that one node explains the other. ExplainIt mines explanations in a supervised method and groups similar opinions together in a weakly supervised way before combining the clusters of opinions together with their explanation relationships into an opinion graph. We experimentally demonstrate that the explanation relationships generated in the opinion graph are of good quality and our labeled datasets for explanation mining and grouping opinions are publicly available .
Edit intent: clarity
Original:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model to facilitate structural similarity of the two embedding spaces and improve the quality of BWEs in the mapping method.
Revised:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model facilitates the structural similarity of the two embedding spaces and improve the quality of BWEs in the mapping method.
Edit intent: fluency
Original:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model to facilitate structural similarity of the two embedding spaces and improve the quality of BWEs in the mapping method.
Revised:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model to facilitate structural similarity of the two embedding spaces and improves the quality of BWEs in the mapping method.
Edit intent: fluency
Original:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model to facilitate structural similarity of the two embedding spaces and improve the quality of BWEs in the mapping method.
Revised:  In this paper, we propose using a pseudo-parallel corpus generated by an unsupervised machine translation model to facilitate structural similarity of the two embedding spaces and improve the quality of CLWEs in the unsupervised mapping method.
Edit intent: clarity