wanyu/IteraTeR_full_sent huggingface dataset:
Original:  These restrictions generate moment inequalities and therefore set identification. Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Revised:  Survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Edit intent: clarity
Original:  Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Revised:  Employing aggregated survey data that are informative about the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Edit intent: clarity
Original:  Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Revised:  Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted due to financial frictions , can provide additional informationthat can tighten the corresponding bounds.
Edit intent: clarity
Original:  Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions , can provide additional informationthat can tighten the corresponding bounds. The paper provides identification analysis, simulation evidence and an application using Spanish data where the borrowing constrained are identified by combining information from different surveys  .
Revised:  Employing aggregated survey data that are informative about the extensive margin of adjustment i.e. the proportion of agents whose behavior is distorted over time due to financial frictions provides additional information. The latter can shrink the set of admissible models and preference parameter values. This paper provides identification analysis, simulation evidence and an application using Spanish data where the borrowing constrained are identified by combining information from different surveys .
Edit intent: meaning-changed
Original: Identification in heterogeneous agent economies can be obtained by utilizing restrictions which are consistent with alternative mechanisms. Survey data that are informative about the proportion of agents whose behavior is distorted due to financial frictions provides additional information. The latter can shrink the set of admissible models and preference parameter values. This paper provides identification analysis, simulation evidence and an application using Spanish data where the borrowing constrained are identified by combining information from different surveys.
Revised: Identification in heterogeneous agent economies are identifiable without taking a stance on the underlying source of market incompleteness and heterogeneity. While the proposed restrictions deliver bounds for these parameters, distributional information such as the extensive margin of financially constrained households can sharpen identification. The paper provides estimates using Spanish data where the borrowing constrained are identified by combining information from different surveys.
Edit intent: clarity
Original:  This paper provides identification analysis, simulation evidence and an application using Spanish data where the borrowing constrained are identified by combining information from different surveys. Results suggest that incomplete markets can potentially rationalize the gap between micro and macro elasticities for aggregate consumption and labor supply .
Revised:  This paper provides identification analysis, simulation evidence and an application using Spanish data and shows that accounting for the extensive margin can contribute in bridging the gap between micro and macro elasticities for aggregate consumption and labor supply .
Edit intent: coherence
Original: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk .
Revised: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with fixed radius \rho , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk .
Edit intent: meaning-changed
Original: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk .
Revised: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the distance between an edge segment and the center of a non-incident disk, called .
Edit intent: meaning-changed
Original: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk .
Revised: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent diskedge-vertex resolution .
Edit intent: fluency
Original: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk .
Revised: We study the algorithmic problem of computing drawings of graphs in which (i) each vertex is a disk with constant radius r , (ii) each edge is a straight-line segment connecting the centers of the two disks representing its end-vertices, (iii) no two disks intersect, and (iv) the edge-vertex resolution is at least r, that is, no edge segment intersects a non-adjacent disk, is at least \rho .
Edit intent: meaning-changed
Original:  We call such drawings disk-link drawings. This model is motivated by the fact that common graph editors represent vertices as geometric features (usually either as disks or as squares) of fixed size. In this scenario, vertex-vertex and edge-vertex overlaps cause visual clutter and may generate ambiguities.
Revised:  We call such drawings disk-link drawings edge-vertex overlaps cause visual clutter and may generate ambiguities.
Edit intent: coherence
Original:  In this scenario, vertex-vertex and edge-vertex overlaps cause visual clutter and may generate ambiguities. Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Revised:  In this scenario, vertex-vertex and edge-vertex resolution, namely \rho=\frac{1 , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Edit intent: meaning-changed
Original:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Revised:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield improved upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Edit intent: clarity
Original:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Revised:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including bounded bandwidth, complete, planar and outerplanar graphs .
Edit intent: clarity
Original:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, planar and outerplanar graphs .
Revised:  Since such issues can be solved by scaling up the drawingby a suitable factor , we present constructive techniques that yield more compact upper bounds for the area requirements of disk-link drawings for several (planar and nonplanar) graph classes, including proper level, bounded bandwidth, complete, and planar graphs. In particular, the presented bounds for complete and planar graphs are asymptotically tight .
Edit intent: meaning-changed
Original: Simple smooth additive models for the observed death-with-COVID-19 series adequately capture the underlying death rate and strong weekly pattern in the data. Clear inference about peak timing is then possible. Further, inference about the earlier infection rate dynamics driving the death rate dynamics can be treated as a simple Bayesian inverse problem, which can be readily solved by imposing a smoothness assumption on the infection rate. This straightforward semi-parametric approach is substantially better founded than the running mean smoothers which generally form the basis for public debate. In the absence of direct statistically based measurement of infection rates, it also offers a usefully assumption-light approach to data analysis, for comparison with the results of the more assumption-rich process simulation models used to inform policy. An interesting result of the analysis is that it suggests that the number of new daily infections in the UK peaked some days before lock down was implemented, although it does not completely rule out a slightly laterpeak .
Revised: The number of new infections per day is a key quantity for effective epidemic management. It can be estimated by testing of random population samples. Without such direct epidemiological measurement, other approaches are required to infer whether the number of new cases is likely to be increasing or decreasing: for example, estimating the pathogen reproductive rate, R, using data gathered from the clinical response to the disease. For COVID-19 such R estimation is heavily dependent on modelling assumptions, because the available clinical case data are opportunistic observational data subject to severe temporal confounding. Given this difficulty it is useful to reconstruct the time course of infections from the least compromised available data, using minimal prior assumptions. A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the published disease duration distribution suggests that infections were in decline before UK lockdown, and that infections in Sweden started to decline only a short time later .
Edit intent: meaning-changed
Original:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that infections were in decline before UK lockdown , and that infections in Sweden started to decline only a short time later.
Revised:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that infections were in decline before full UK lockdown (24 March 2020) , and that infections in Sweden started to decline only a short time later.
Edit intent: meaning-changed
Original:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that infections were in decline before UK lockdown , and that infections in Sweden started to decline only a short time later.
Revised:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that infections were in decline before UK lockdown , and that infections in Sweden started to decline only a day or two later.
Edit intent: meaning-changed
Original:  Without such direct epidemiological measurement, other approaches are required to infer whether the number of new cases is likely to be increasing or decreasing: for example, estimating the pathogen reproductive rate , R, using data gathered from the clinical response to the disease.
Revised:  Without such direct epidemiological measurement, other approaches are required to infer whether the number of new cases is likely to be increasing or decreasing: for example, estimating the pathogen effective reproduction number , R, using data gathered from the clinical response to the disease.
Edit intent: clarity
Original:  For COVID-19 (SARS-CoV-2) such R estimation is heavily dependent on modelling assumptions, because the available clinical case data are opportunistic observational data subject to severe temporal confounding.
Revised:  For Covid-19 (SARS-CoV-2) such R estimation is heavily dependent on modelling assumptions, because the available clinical case data are opportunistic observational data subject to severe temporal confounding.
Edit intent: fluency
Original:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that  infections were in decline before full UK lockdown (24 March 2020), and that  infections in Sweden started to decline only a day or two later.
Revised:  A Bayesian inverse problem approach applied to UK data on first wave Covid-19 deaths and the disease duration distribution suggests that infections were in decline before full UK lockdown (24 March 2020), and that infections in Sweden started to decline only a day or two later.
Edit intent: meaning-changed
Original:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that  infections were in decline before full UK lockdown (24 March 2020), and that  infections in Sweden started to decline only a day or two later.
Revised:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that fatal infections were in decline before full UK lockdown (24 March 2020), and that infections in Sweden started to decline only a day or two later.
Edit intent: meaning-changed
Original:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that  infections were in decline before full UK lockdown (24 March 2020), and that  infections in Sweden started to decline only a day or two later.
Revised:  A Bayesian inverse problem approach applied to UK data on COVID-19 deaths and the disease duration distribution suggests that infections were in decline before full UK lockdown (24 March 2020), and that fatal infections in Sweden started to decline only a day or two later.
Edit intent: meaning-changed
Original:  An analysis of UK data using the model of Flaxman et al. (2020, Nature 584) gives the same result under relaxation of its prior assumptions on R  .
Revised:  An analysis of UK data using the model of Flaxman et al. (2020, Nature 584) gives the same result under relaxation of its prior assumptions on R , suggesting an enhanced role for non pharmaceutical interventions (NPIs) short of full lock down in the UK context. Similar patterns appear to have occurred in the subsequent two lockdowns .
Edit intent: meaning-changed
Original:  At each point in time, we partition data points into an appropriate number of clusters and thereby track both the total number of clusters and the individual constituents' cluster memberships changing over time.
Revised:  We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters and thereby track both the total number of clusters and the individual constituents' cluster memberships changing over time.
Edit intent: meaning-changed
Original:  We detect significant similarities in the evolution of cases and deaths up to a suitable offset in time. We compute this offset and use it to identify anomalous countries in the progression of cases to deaths.
Revised:  We detect significant similarities in the evolution of these two systems. With this in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths.
Edit intent: meaning-changed
Original: This paper proposes a cluster-based method to analyse multivariate systems that change over time . We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters on each day to track both the  total number of clusters and their changing constituency over time .
Revised: This paper proposes a cluster-based method to analyze the evolution of multivariate time series and applies this to the total number of clusters and their changing constituency over time .
Edit intent: clarity
Original:  We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters on each day to track both the  total number of clusters and their changing constituency over time .
Revised:  We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters on each day to track both the COVID-19 pandemic. On each day, we partition countries into clusters according to both their case and death counts. The total number of clusters and their changing constituency over time .
Edit intent: meaning-changed
Original:  We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters on each day to track both the  total number of clusters and their changing constituency over time .
Revised:  We apply this method to analyse the evolution of COVID-19 cases and deaths, partitioning data points into an appropriate number of clusters on each day to track both the total number of clusters and individual countries' cluster memberships are algorithmically determined. We study the change in both quantities over time, demonstrating a close similarity in the evolution of cases and deaths. The changing number of clusters of the case counts precedes that of the death counts by 32 days. On the other hand, there is an optimal offset of 16 days with respect to the greatest consistency between cluster groupings, determined by a new method of comparing affinity matrices .
Edit intent: meaning-changed
Original:  With this  in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths  .
Revised:  With this offset in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths .
Edit intent: fluency
Original:  With this  in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths  .
Revised:  With this in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression from COVID-19 cases to deaths .
Edit intent: meaning-changed
Original:  With this  in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths  .
Revised:  With this in mind, we also develop a method to analyse the similarity and anomalies between two related multivariate systems in conjunction, allowing us to identify anomalous countries in the progression of cases to deaths . This analysis can aid in highlighting the most and least significant public policies in minimizing a country's COVID-19 mortality rate .
Edit intent: meaning-changed
Original: Passage retrieval in a conversational context is essential for many downstream applications; it is however extremely challenging due to limited data resources. To address this problem, we present an effective multi-stage pipeline for passage ranking in conversational searchthat integrates a widely-used IR system with a conversational query reformulation module.
Revised: Conversational search plays a vital role in conversational information seeking. As queries in information seeking dialogues are ambiguous for traditional ad-hoc information retrieval (IR) systems due to the coreference and omission resolution problems inherent in natural language dialogue, resolving these ambiguities is crucial. In this paper, we tackle conversational passage retrieval (ConvPR), an important component of conversational search, by addressing query ambiguities with query reformulation integrated into a multi-stage pipeline for passage ranking in conversational searchthat integrates a widely-used IR system with a conversational query reformulation module.
Edit intent: meaning-changed