wanyu/IteraTeR_v2 huggingface dataset:
Original:  We also evaluate the effects of the landscape structure on the pollination, and demonstrate that it exists an optimal size of natural habitat patches which maximize the pollination service for a fixed fraction of natural habitat .
Revised:  We also evaluate the effects of the landscape 's structure on pollination, and demonstrate that it exists an optimal size of natural habitat patches which maximize the pollination service for a fixed fraction of natural habitat .
Edit intent: clarity
Original:  We also evaluate the effects of the landscape structure on the pollination, and demonstrate that it exists an optimal size of natural habitat patches which maximize the pollination service for a fixed fraction of natural habitat .
Revised:  We also evaluate the effects of the landscape structure on the pollination, and demonstrate that there exists an optimal size of natural habitat patches which maximize the pollination service for a fixed fraction of natural habitat .
Edit intent: fluency
Original:  We also evaluate the effects of the landscape structure on the pollination, and demonstrate that it exists an optimal size of natural habitat patches which maximize the pollination service for a fixed fraction of natural habitat .
Revised:  We also evaluate the effects of the landscape structure on the pollination, and demonstrate that it exists an optimal size of natural habitat patches that maximizes the pollination service for a fixed fraction of natural habitat .
Edit intent: clarity
Original:  There are several open conjectures on the behavior of g(k) which we are able to prove for \hat{g}(k), namely that \frac{1-\log 2 +o(1) \quad \le \quad \frac{\log \hat{g}(k)}{k/\log k} \quad \le \quad 2 +o(1), and that \limsup_{k\rightarrow\infty} \frac{\hat{g}(k+1)}{\hat{g}(k)}=\infty.
Revised:  There are several open conjectures on the behavior of g(k) which we are able to prove for \hat{g}(k), namely that \frac{1-\log 2 +o(1) \quad \le \quad \frac{\log \hat{g}(k)}{k/\log k} \quad \le \quad 1 +o(1), and that \limsup_{k\rightarrow\infty} \frac{\hat{g}(k+1)}{\hat{g}(k)}=\infty.
Edit intent: fluency
Original:  These type of matrices emerge from the representation of the Hamiltonian of a quantum mechanical system in terms of an overcomplete set of basis functions.
Revised:  This type of matrices emerge from the representation of the Hamiltonian of a quantum mechanical system in terms of an overcomplete set of basis functions.
Edit intent: fluency
Original:  These type of matrices emerge from the representation of the Hamiltonian of a quantum mechanical system in terms of an overcomplete set of basis functions.
Revised:  These type of matrices emerges from the representation of the Hamiltonian of a quantum mechanical system in terms of an overcomplete set of basis functions.
Edit intent: fluency
Original:  This expansion is part of a class of models within the broad field of Density Functional Theory, which is considered the golden standard in Condensed Matter Physics .
Revised:  This expansion is part of a class of models within the broad field of Density Functional Theory, which is considered the golden standard in condensed matter physics .
Edit intent: fluency
Original:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices  and Prop.
Revised:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear CA over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices and Prop.
Edit intent: clarity
Original:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices  and Prop.
Revised:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices and Prop.
Edit intent: fluency
Original:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices  and Prop.
Revised:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie, CA in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices and Prop.
Edit intent: fluency
Original:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \mathbb{Z \Z . To prove our main result, we derive an integrality criterion for matrices  and Prop.
Revised:  Indeed, it gives a complete and easy-to-check characterization of sensitivity to initial conditions and equicontinuity for linear cellular automata over the alphabet K^n for K = Z/m \mathbb{Z \Z ), }\ie in which the local rule is defined by n\times n-matrices with elements in Z/m \Z . To prove our main result, we derive an integrality criterion for matrices and Prop.
Edit intent: fluency
Original:  Intuitively, the algorithm chooses a search direction by looking ahead at the sequence of "fast weights " generated by another optimizer.
Revised:  Intuitively, the algorithm chooses a search direction by looking ahead at the sequence of "fast weights " generated by another optimizer.
Edit intent: fluency
Original:  Intuitively, the algorithm chooses a search direction by looking ahead at the sequence of "fast weights " generated by another optimizer.
Revised:  Intuitively, the algorithm chooses a search direction by looking ahead at the sequence of fast weights generated by another optimizer.
Edit intent: fluency
Original: Record Linkage is an essential part of almost all real-world systems that consume  data coming from different sources , structured and unstructured .
Revised: Record linkage is an essential part of almost all real-world systems that consume data coming from different sources , structured and unstructured .
Edit intent: fluency
Original: Record Linkage is an essential part of almost all real-world systems that consume  data coming from different sources , structured and unstructured .
Revised: Record Linkage is an essential part of nearly all real-world systems that consume data coming from different sources , structured and unstructured .
Edit intent: fluency
Original: Record Linkage is an essential part of almost all real-world systems that consume  data coming from different sources , structured and unstructured .
Revised: Record Linkage is an essential part of almost all real-world systems that consume data coming from different sources .
Edit intent: clarity
Original:  Often massive data cleaning and data integration processes  have to be completed before any data analytics and further processing can be performed.
Revised:  Often massive data cleaning and data integration processes often have to be completed before any data analytics and further processing can be performed.
Edit intent: clarity
Original:  Though record linkage is often seen as a somewhat tedious  necessary step, it is able to reveal valuable insights of the data at hand.
Revised:  Although record linkage is often seen as a somewhat tedious necessary step, it is able to reveal valuable insights of the data at hand.
Edit intent: fluency
Original:  Though record linkage is often seen as a somewhat tedious  necessary step, it is able to reveal valuable insights of the data at hand.
Revised:  Though record linkage is frequently regarded as a somewhat tedious necessary step, it is able to reveal valuable insights of the data at hand.
Edit intent: clarity
Original:  Though record linkage is often seen as a somewhat tedious  necessary step, it is able to reveal valuable insights of the data at hand.
Revised:  Though record linkage is often seen as a somewhat tedious but necessary step, it is able to reveal valuable insights of the data at hand.
Edit intent: coherence
Original:  Though record linkage is often seen as a somewhat tedious  necessary step, it is able to reveal valuable insights of the data at hand.
Revised:  Though record linkage is often seen as a somewhat tedious necessary step, it reveals valuable insights into the data at hand.
Edit intent: clarity
Original:  These insights guide further analytic approaches over the data and support data visualization.
Revised:  These insights guide further analytic approaches to the data and support data visualization.
Edit intent: clarity
Original:  The matching is done on the fly to accommodate realtime processing of streamed data.
Edit intent: coherence
Original:  Our contribution is a system that uses rule-based matching algorithms for scoring operations which we extend with a machine learning approach to account for short company names.
Revised:  Our contribution is a system that uses rule-based linkage algorithms extended with a machine learning approach to account for short company names.
Edit intent: clarity
Original:  We propose an end-to-end highly scalable enterprise-grade system.
Edit intent: coherence
Original:  High linkage accuracy is reached by the proposed thorough scoring process of the matching candidates.
Revised:  High linkage accuracy is achieved by the proposed thorough scoring process of the matching candidates.
Edit intent: clarity
Original:  Based on two real world ground truth datasets, we show that our approach reaches a recall of 91\% compared to 86 \% for baseline approaches.
Revised:  Based on real-world ground truth datasets, we show that our approach reaches a recall of 91\% compared to 86 \% for baseline approaches.
Edit intent: clarity
Original:  The proposed approach is relevant in spectral methods and we illustrate its application to PCA.
Revised:  The approach is relevant in spectral methods and we illustrate its application to PCA.
Edit intent: clarity
Original:  The proposed approach is relevant in spectral methods and we illustrate its application to PCA.
Revised:  The proposed approach is relevant to spectral methods and we illustrate its application to PCA.
Edit intent: fluency
Original: Recently,  steady-state visual evoked potential (SSVEP) -based brain-computer interface (BCI) has attracted much attention due to its high information transfer rate (ITR) and increasing number of targets.
Revised: Recently, steady-state visual evoked potential (SSVEP) have attracted much attention due to its high information transfer rate (ITR) and increasing number of targets.
Edit intent: coherence
Original:  However, the performance of SSVEP-based methods  in terms of accuracy and time length required for target detection can be improved .
Revised:  However, SSVEP-based methods in terms of accuracy and time length required for target detection can be improved .
Edit intent: clarity
Original:  However, the performance of SSVEP-based methods  in terms of accuracy and time length required for target detection can be improved .
Revised:  However, the performance of SSVEP-based methods can be improved in terms of accuracy and time length required for target detection can be improved .
Edit intent: coherence
Original:  However, the performance of SSVEP-based methods  in terms of accuracy and time length required for target detection can be improved .
Revised:  However, the performance of SSVEP-based methods in terms of their accuracy and target detection time .
Edit intent: clarity
Original:  We propose a new  canonical correlation analysis (CCA) -based method to integrate subject-specific models and subject-independent information and enhance BCI performance.
Revised:  We propose a new method based on canonical correlation analysis (CCA) -based method to integrate subject-specific models and subject-independent information and enhance BCI performance.
Edit intent: coherence
Original:  We propose a new  canonical correlation analysis (CCA) -based method to integrate subject-specific models and subject-independent information and enhance BCI performance.
Revised:  We propose a new canonical correlation analysis (CCA) to integrate subject-specific models and subject-independent information and enhance BCI performance.
Edit intent: clarity
Original:  To optimize hyperparameters for CCA-based model of a specific subject , we propose to use training data of other subjects .
Revised:  We propose to use training data of other subjects to optimize hyperparameters for CCA-based model of a specific subject , we propose to use training data of other subjects .
Edit intent: style
Original:  To optimize hyperparameters for CCA-based model of a specific subject , we propose to use training data of other subjects .
Revised:  To optimize hyperparameters for CCA-based model of a specific subject .
Edit intent: clarity
Original:  An ensemble version of the proposed method is also developed and used for a fair comparison with ensemble task-related component analysis (TRCA).
Revised:  An ensemble version of the proposed method is also developed for a fair comparison with ensemble task-related component analysis (TRCA).
Edit intent: clarity
Original:  A publicly available 35-subject SSVEP benchmark dataset is used to evaluate different methods.
Edit intent: coherence
Original:  Offline analysis results show that the proposed method reaches highest ITR compared with TRCA and extended CCA.
Revised:  The ITR of the proposed method reaches highest ITR compared with TRCA and extended CCA.
Edit intent: clarity
Original:  Offline analysis results show that the proposed method reaches highest ITR compared with TRCA and extended CCA.
Revised:  Offline analysis results show that the proposed method is higher than those of TRCA and extended CCA.
Edit intent: clarity
Original:  Also, the proposed method significantly improves performance of extended CCA in all conditions and TRCA for time windows greater than 0.3 s.
Revised:  The proposed method outperforms extended CCA in all conditions and TRCA for time windows greater than 0.3 s.
Edit intent: clarity
Original:  In addition, the proposed method outperforms TRCA for low number of training blocks and electrodes.
Revised:  The proposed method also outperforms TRCA when there are limited training blocks and electrodes.
Edit intent: clarity
Original:  This study illustrates that adding subject-independent information to subject-specific models can improve the performance of SSVEP-based BCIs.
Revised:  This study illustrates that adding subject-independent information to subject-specific models can improve performance of SSVEP-based BCIs.
Edit intent: fluency
Original:  The overlapping communities in the graph are obtained by detecting the disjoint communities in the associated line graph by means of link partitioning and partitioning around medoids . Partitioning around medoids is done through the use of a distance function defined on the set of nodes of the linear graph.
Revised:  The overlapping communities in the graph are obtained by detecting the disjoint communities in the associated line graph employing link partitioning and partitioning around medoids . Partitioning around medoids is done through the use of a distance function defined on the set of nodes of the linear graph.
Edit intent: clarity
Original:  The overlapping communities in the graph are obtained by detecting the disjoint communities in the associated line graph by means of link partitioning and partitioning around medoids . Partitioning around medoids is done through the use of a distance function defined on the set of nodes of the linear graph.
Revised:  The overlapping communities in the graph are obtained by detecting the disjoint communities in the associated line graph by means of link partitioning and partitioning around medoids which are done through the use of a distance function defined on the set of nodes of the linear graph.
Edit intent: coherence
Original:  In the present paper, we consider the commute distance and amplified commute distance functions as distance functions.
Revised:  In the present paper, we consider the commute distance and amplified commute distance as distance functions.
Edit intent: fluency
Original:  The performance of the proposed method is demonstrated by computational experiments on real-life instances .
Revised:  The performance of the LPAM method is evaluated with computational experiments on real-life instances .
Edit intent: clarity
Original:  This is equivalent to the Adwords problem where item truncation is not allowed.
Revised:  This is equivalent to the AdWords problem where item truncation is not allowed.
Edit intent: fluency
Original: Learning to produce spatiotemporal sequences is a common task  the brain has to solve.
Revised: Learning to produce spatiotemporal sequences is a common task that the brain has to solve.
Edit intent: fluency
Original:  While many sequential behavioursdiffer superficially, the underlying organization of the computation might be similar .
Revised:  The same neural substrate may be used by the brain to produce different sequential behaviours .
Edit intent: clarity
Original:  The dynamics of the  recurrent network is constrained to encode time while the read-out neurons encode space.
Revised:  The dynamics of the recurrent network is constrained to encode time which is then mapped through the read-out neurons encode space.
Edit intent: clarity
Original: A recent application area of vertex enumeration problem (VEP) is the usage within objective space based linear/convex multiobjective optimization algorithms whose aim is to generate (an approximation of) the Pareto frontier.
Revised: An application area of vertex enumeration problem (VEP) is the usage within objective space based linear/convex multiobjective optimization algorithms whose aim is to generate (an approximation of) the Pareto frontier.
Edit intent: clarity
Original:  We propose a  vertex enumeration procedure, which iterates by calling a modified ' double description (DD) method' that works for such unbounded polyhedrons.
Revised:  We propose a a vertex enumeration procedure, which iterates by calling a modified ' double description (DD) method' that works for such unbounded polyhedrons.
Edit intent: fluency
Original:  We propose a  vertex enumeration procedure, which iterates by calling a modified ' double description (DD) method' that works for such unbounded polyhedrons.
Revised:  We propose a vertex enumeration procedure, which iterates by calling a modified ` double description (DD) method' that works for such unbounded polyhedrons.
Edit intent: fluency
Original:  We compare the efficiency of this procedure with an existing DD method as well as with the current vertex enumeration subroutine of Algorithm 1.
Revised:  We compare the efficiency of this procedure with another existing DD method as well as with the current vertex enumeration subroutine of Algorithm 1.
Edit intent: clarity
Original: Deep learning has demonstrated its potential to provide significant performance improvements on numerous existing state of the art data mining and machine learning algorithms.
Revised: Deep learning has demonstrated its potential to provide significant performance improvements in data mining and machine learning algorithms.
Edit intent: clarity
Original:  In this paper, we present a neural network based data distribution aware sorting method  NN-sort  . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Revised:  In this paper, a neural network-based data distribution aware sorting method NN-sort . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Edit intent: coherence
Original:  In this paper, we present a neural network based data distribution aware sorting method  NN-sort  . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Revised:  In this paper, we present a neural network based data distribution aware sorting method named NN-sort . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Edit intent: coherence
Original:  In this paper, we present a neural network based data distribution aware sorting method  NN-sort  . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Revised:  In this paper, we present a neural network based data distribution aware sorting method NN-sort is presented . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Edit intent: coherence
Original:  In this paper, we present a neural network based data distribution aware sorting method  NN-sort  . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Revised:  In this paper, we present a neural network based data distribution aware sorting method NN-sort . Compared to traditional comparison-based sorting algorithms, which need to compare the data elements in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Edit intent: clarity
Original:  In this paper, we present a neural network based data distribution aware sorting method  NN-sort  . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network learning model to map disordered data points into ordered ones.
Revised:  In this paper, we present a neural network based data distribution aware sorting method NN-sort . Compared to traditional comparison-based sorting algorithms, which need to compare all of the data points in pairwise, NN-sort leverages the neural network model to learn the data distribution and uses it to map disordered data points into ordered ones.
Edit intent: coherence