wanyu/IteraTeR_v2 huggingface dataset:
Original:  We use them to train a 3D-2D feedforward architecture, in a self-supervised fashion , thus enabling lifelong learning for robots.
Revised:  We use them to train a 3D-2D feedforward architecture, in a self-supervised , thus enabling lifelong learning for robots.
Edit intent: clarity
Original:  The network is composed of a 3D back-end that extracts rich features and enables the semantic segmentation of the lidar frames, and a 2D front-end that predicts the future information embedded in the SOGMs  . We also design a navigation pipeline using these predicted SOGMs.
Revised:  The network is composed of a 3D back-end that extracts rich features and enables the semantic segmentation of the lidar frames, and a 2D front-end that predicts the future information embedded in the SOGMs . We also design a navigation pipeline that uses these predicted SOGMs.
Edit intent: fluency
Original:  Previous work has greatly focused on moral development and the associated role of culture.
Revised:  Previous work has primarily focused on moral development and the associated role of culture.
Edit intent: clarity
Original:  Knowing that language is an inherent element of a culture, we used the social media platform Twitter for comparing the moral behaviors of Japanese users with English users .
Revised:  Knowing that language is an inherent element of a culture, we used the social media platform Twitter to compare moral behaviors of Japanese users with English users .
Edit intent: style
Original:  Knowing that language is an inherent element of a culture, we used the social media platform Twitter for comparing the moral behaviors of Japanese users with English users .
Revised:  Knowing that language is an inherent element of a culture, we used the social media platform Twitter for comparing the moral behaviors of Japanese tweets with English tweets .
Edit intent: clarity
Original:  The five basic moral foundations  i.e., Care, Fairness, Ingroup, Authority and Purity, along with the associated emotional valence are compared for English and Japanese tweets.
Revised:  The five basic moral foundations , i.e., Care, Fairness, Ingroup, Authority and Purity, along with the associated emotional valence are compared for English and Japanese tweets.
Edit intent: fluency
Original:  The five basic moral foundations  i.e., Care, Fairness, Ingroup, Authority and Purity, along with the associated emotional valence are compared for English and Japanese tweets.
Revised:  The five basic moral foundations i.e., Care, Fairness, Ingroup, Authority and Purity, along with the associated emotional valence were compared between English and Japanese tweets.
Edit intent: clarity
Original:  Considering the role of moral similarities in connecting users on social media, we quantified homophily concerning different moral dimensions using our proposed method.
Revised:  Considering moral similarities in connecting users on social media, we quantified homophily concerning different moral dimensions using our proposed method.
Edit intent: clarity
Original:  The moral dimensions Care, Authority and Purity for English and Ingroup  for Japanese depicted homophily on Twitter.
Revised:  The moral dimensions Care, Authority and Purity for English and Ingroup , Authority and Purity for Japanese depicted homophily on Twitter.
Edit intent: fluency
Original:  Overall, our study uncovers the underlying cultural differences with respect to moral behavior in English and Japanese speaking users.
Revised:  Overall, our study uncovers the underlying cultural differences with respect to moral behavior in English- and Japanese-speaking users.
Edit intent: fluency
Original: Relation Extraction (RE) from tables is the task of identifying relations between pairs of columns  . Generally, RE models for this task require labelled tables for training.
Revised: Relation Extraction (RE) from tables is the task of identifying relations between pairs of columns of a table . Generally, RE models for this task require labelled tables for training.
Edit intent: clarity
Original:  Luckily, labelled tables can also be generated artificially from a Knowledge Graph (KG), which makes the cost to acquire them much lower in comparison to manual annotations.
Revised:  These labelled tables can also be generated artificially from a Knowledge Graph (KG), which makes the cost to acquire them much lower in comparison to manual annotations.
Edit intent: coherence
Original:  However, these tables have one drawback compared to real tables, which is that they lack associated metadata, such as  column-headers, captions, etc .
Revised:  However, unlike real tables, which is that they lack associated metadata, such as column-headers, captions, etc .
Edit intent: coherence
Original:  However, these tables have one drawback compared to real tables, which is that they lack associated metadata, such as  column-headers, captions, etc .
Revised:  However, these tables have one drawback compared to real tables, which is that they lack associated metadata, such as , column-headers, captions, etc .
Edit intent: fluency
Original:  Unfortunately, metadata can provide strong signals for RE from tables.
Revised:  Meanwhile, previous works have shown that metadata is important for accurate RE from tables.
Edit intent: clarity
Original:  We then experiment with a RE modelthat uses artificial metadata as input .
Revised:  Afterward, we experiment with a RE modelthat uses artificial metadata as input .
Edit intent: coherence
Original:  Our empirical results show that this leads to an improvement of 9\\%DIF < -45\\% in F1 score, in absolute terms, over 2 tabular %DIF > -45\\% in F1 score, in absolute terms, over 2 tabular datasets.
Revised:  Our empirical results show that this leads to an improvement of 9\\%DIF < -45\\% in F1 %DIF > -45\\% in F1 score, in absolute terms, over 2 tabular datasets.
Edit intent: fluency
Original:  We prove that the barycenter is  Gaussian distribution when the entropic regularization parameter is small.
Revised:  We prove that the barycenter is a Gaussian distribution when the entropic regularization parameter is small.
Edit intent: fluency
Original:  We further derive  closed-form expressions for the covariance matrix of the barycenter.
Revised:  We further derive a closed-form expressions for the covariance matrix of the barycenter.
Edit intent: fluency
Original:  We further derive  closed-form expressions for the covariance matrix of the barycenter.
Revised:  We further derive closed-form expression for the covariance matrix of the barycenter.
Edit intent: fluency
Original:   The SIS, EDCP, and LWE problems in their standard forms are as hard as solving lattice problems in the worst case.
Revised:  The SIS, LWE, and EDCP problems in their standard forms are as hard as solving lattice problems in the worst case.
Edit intent: fluency
Original:  Our main contributions are introducing a filtering technique and solving LWE given LWE-like quantum states with interesting parameters  .
Revised:  Our main contribution is solving LWE given LWE-like quantum states with interesting parameters .
Edit intent: clarity
Original:  Our main contributions are introducing a filtering technique and solving LWE given LWE-like quantum states with interesting parameters  .
Revised:  Our main contributions are introducing a filtering technique and solving LWE given LWE-like quantum states with interesting parameters using a filtering technique .
Edit intent: clarity
Original: Synthetic-to-real transfer learning is a framework in which we pre-train models with synthetically generated images and ground-truth annotations for real tasks.
Revised: Synthetic-to-real transfer learning is a framework in which a synthetically generated dataset is used to pre-train models with synthetically generated images and ground-truth annotations for real tasks.
Edit intent: clarity
Original: Synthetic-to-real transfer learning is a framework in which we pre-train models with synthetically generated images and ground-truth annotations for real tasks.
Revised: Synthetic-to-real transfer learning is a framework in which we pre-train a model to improve its performance on real vision tasks. The most significant advantage of using synthetic images is that the ground-truth annotations for real tasks.
Edit intent: clarity
Original:  Through experiments, we observe a simple and general scaling law that consistently describes learning curves in various tasks, models, and complexities of synthesized pre-training data.
Revised:  Through experiments, we observe a simple and general scaling law that predicts the performance from the amount of pre-training data.
Edit intent: clarity
Original:   Further, we develop a theory of transfer learning for a simplified scenario and confirm that the derived generalization bound is consistent with our empirical findings  .
Revised:  Further, we analyze the theory of transfer learning for a simplified scenario and confirm that the derived generalization bound is consistent with our empirical findings .
Edit intent: clarity
Original:  Using regression models and three independent EEG datasets (N= 327 ), we tested whether resting state functional connectivity could predict individual depression score.
Revised:  Using regression models and three independent EEG datasets (N= 328 ), we tested whether resting state functional connectivity could predict individual depression score.
Edit intent: fluency
Original:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as `` Broken", `` Normal", and `` Other", respectively.
Revised:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as " Broken", `` Normal", and `` Other", respectively.
Edit intent: fluency
Original:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as `` Broken", `` Normal", and `` Other", respectively.
Revised:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as `` Broken", " Normal", and `` Other", respectively.
Edit intent: fluency
Original:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as `` Broken", `` Normal", and `` Other", respectively.
Revised:  The drill dataset includes three classes: anomalous sounds, normal sounds, and irrelevant sounds, which are also labeled as `` Broken", `` Normal", and " Other", respectively.
Edit intent: fluency
Original: Motivated by the recent work [He-Yuan, Balanced Augmented Lagrangian Method for Convex Programming, arXiv: 2108.08554v1, 19 Aug 2021  ], a novel Augmented Lagrangian Method (ALM) has been proposed for solving a family of convex optimization problem subject to equality or inequality constraint.
Revised: Motivated by the recent work [He-Yuan, Balanced Augmented Lagrangian Method for Convex Programming, arXiv: 2108.08554v1, 19 Aug 2021 ) ], a novel Augmented Lagrangian Method (ALM) has been proposed for solving a family of convex optimization problem subject to equality or inequality constraint.
Edit intent: fluency
Original:  This new method is also extended to solve the multi-block  convex optimization problem  . Preliminary and some new convergence results are established with the aid of variational analysis for  the saddle point of the problem and the first-order optimality conditions of involved subproblems.
Revised:  This new method is then extended to solve the multi-block convex optimization problem . Preliminary and some new convergence results are established with the aid of variational analysis for the saddle point of the problem and the first-order optimality conditions of involved subproblems.
Edit intent: clarity
Original:  This new method is also extended to solve the multi-block  convex optimization problem  . Preliminary and some new convergence results are established with the aid of variational analysis for  the saddle point of the problem and the first-order optimality conditions of involved subproblems.
Revised:  This new method is also extended to solve the multi-block convex optimization problem . Preliminary and some new convergence results are established with the aid of variational analysis for both the saddle point of the problem and the first-order optimality conditions of involved subproblems.
Edit intent: clarity
Original: The surprisingly popular algorithm (SPA) is a powerful crowd decision model proposed in social science, which can identify the knowledge possessed in of the minority.
Revised: The surprisingly popular algorithm (SPA) is a powerful crowd decision model proposed in social science, which can identify the knowledge possessed by the minority.
Edit intent: fluency
Original:  We have modelled the SPAto select the exemplars in PSO scenarios and proposed the Surprisingly Popular Algorithm-based Comprehensive Adaptive Topology Learning Particle Swarm Optimization .
Revised:  Inspired by SPA, we build a new metric for particles, not just rely on fitness to evaluate particle performance .
Edit intent: coherence
Original:  Due to the significant influence of the communication topology on exemplar selection, we propose an adaptive euclidean distance dynamic topology maintenance .
Revised:  Due to the significant influence of the communication topology on exemplar selection, we propose an adaptive euclidean distance dynamic topology .
Edit intent: clarity
Original:  And then we propose the Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning Particle Swarm Optimization (SpadePSO), which use SPA to guide the  direction of the exploitation sub-population .
Revised:  And then we propose the Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning Particle Swarm Optimization (SpadePSO), which uses SPA to guide the direction of the exploitation sub-population .
Edit intent: fluency
Original:  We evaluate the proposed SpadePSO on the full CEC2014 benchmark suite, the spread spectrum radar polyphase coding design and the  ordinary differential equations models inference.
Revised:  We evaluate the proposed SpadePSO on the full CEC2014 benchmark suite, the spread spectrum radar polyphase coding design and the inference of ordinary differential equations models inference.
Edit intent: clarity
Original:  We evaluate the proposed SpadePSO on the full CEC2014 benchmark suite, the spread spectrum radar polyphase coding design and the  ordinary differential equations models inference.
Revised:  We evaluate the proposed SpadePSO on the full CEC2014 benchmark suite, the spread spectrum radar polyphase coding design and the ordinary differential equations . Especially,
Edit intent: clarity
Original: The COVID-19 pandemic forced mankind to unprecedented global challenges, drastically changing our way of living.
Revised: The COVID-19 pandemic drastically changed our way of living.
Edit intent: clarity
Original:  To minimize life losses, multi-level strategies requiring collective efforts were adopted , while waiting for researchers and Pharma companies to develop vaccines .
Revised:  To minimize life losses, multi-level strategies requiring collective efforts were adopted while waiting for researchers and Pharma companies to develop vaccines .
Edit intent: fluency
Original:  To minimize life losses, multi-level strategies requiring collective efforts were adopted , while waiting for researchers and Pharma companies to develop vaccines .
Revised:  To minimize life losses, multi-level strategies requiring collective efforts were adopted , while waiting for the vaccines' rollout .
Edit intent: clarity
Original:  The management of so complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT) .
Revised:  The management of such complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT) .
Edit intent: fluency
Original:  The management of so complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT) .
Revised:  The management of so complex processes has taken benefit from a network vision and from the rising framework of the Internet of Things (IoT) .
Edit intent: clarity
Original:  The management of so complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT) .
Revised:  The management of so complex processes has partly taken benefit from the rising framework of the Internet of Things (IoT) .
Edit intent: clarity
Original:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( the user) and the macro ( the processes) scale.
Revised:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) since it is probably the approach that is most suitable to both the micro ( the user) and the macro ( the processes) scale.
Edit intent: coherence
Original:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( the user) and the macro ( the processes) scale.
Revised:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the most suitable approach to both the micro ( the user) and the macro ( the processes) scale.
Edit intent: fluency
Original:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( the user) and the macro ( the processes) scale.
Revised:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( user) and the macro ( the processes) scale.
Edit intent: fluency
Original:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( the user) and the macro ( the processes) scale.
Revised:  Among the several technologies converging to IoT, the Radiofrequency Identification (RFID) , based on backscattering communication, is probably the approach that is most suitable to both the micro ( the user) and the macro ( processes) scale.
Edit intent: fluency
Original:  Accordingly , a single infrastructure can support almost all the logistic and monitoring issues related to the war against a pandemic.
Revised:  Hence , a single infrastructure can support almost all the logistic and monitoring issues related to the war against a pandemic.
Edit intent: coherence
Original:  Based on the earned COVID-19 experience, this paper is a guide about how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks.
Revised:  Based on the COVID-19 experience, this paper is a guide about how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks.
Edit intent: clarity
Original:  Based on the earned COVID-19 experience, this paper is a guide about how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks.
Revised:  Based on the earned COVID-19 experience, this paper is a survey on how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks.
Edit intent: clarity
Original:  The three pillars of the contrast are addressed, namely : 1) use and managing of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms.
Revised:  The three pillars of the contrast of the pandemic are addressed : 1) use and managing of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms.
Edit intent: clarity
Original:  The three pillars of the contrast are addressed, namely : 1) use and managing of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms.
Revised:  The three pillars of the contrast are addressed, namely : 1) use of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms.
Edit intent: coherence
Original:  For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and on the state of the art of worldwide research.
Revised:  For each class, the envisaged RFID devices and procedures are discussed based on the already available technology and on the state of the art of worldwide research.
Edit intent: clarity
Original:  For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and on the state of the art of worldwide research.
Revised:  For each class, the envisaged RFID devices and procedures are identified and discussed based on the available technology and on the state of the art of worldwide research.
Edit intent: clarity
Original:  For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and on the state of the art of worldwide research.
Revised:  For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and the current worldwide research.
Edit intent: clarity
Original:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Revised:  This survey that RFID could generate an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Edit intent: clarity
Original:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Revised:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Edit intent: fluency
Original:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Revised:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence can be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Edit intent: clarity