wanyu/IteraTeR_v2 huggingface dataset:
Original: When establishing a visual connection between a virtual reality user and an augmented reality user, it is important to consider that the augmented reality user may face a surplus of information.
Revised: When establishing a visual connection between a virtual reality user and an augmented reality user, it is important to consider that the augmented reality user faces a surplus of information.
Edit intent: coherence
Original:  We thus propose SelectVisAR, a selective visualisation system of virtual environments in augmented reality.
Revised:  We propose SelectVisAR, a selective visualisation system of virtual environments in augmented reality.
Edit intent: coherence
Original:  Our system enables an augmented reality spectator to perceive a co-present virtual reality user in the context of four distinct visualisation conditions: Interactive, Proximity, Everything, and Dollhouse.
Revised:  Our system enables an augmented reality spectator to perceive a co-located virtual reality user in the context of four distinct visualisation conditions: Interactive, Proximity, Everything, and Dollhouse.
Edit intent: clarity
Original:  The design uses a human-centric approach to information filtering, selectively visualising only parts of the virtual environment related to the interactive range and possibilities of a virtual reality user.
Revised:  The design uses a human-centric approach to information filtering, selectively visualising only parts of the virtual environment related to the interactive possibilities of a virtual reality user.
Edit intent: clarity
Original:  The study investigates how selective visualisations influence the perception of the augmented reality user, examining how different visualisations can be helpful or trivial for spectating virtual reality users .
Revised:  The research investigates how selective visualisations influence the perception of the augmented reality user, examining how different visualisations can be helpful or trivial for spectating virtual reality users .
Edit intent: clarity
Original:  The study investigates how selective visualisations influence the perception of the augmented reality user, examining how different visualisations can be helpful or trivial for spectating virtual reality users .
Revised:  The study investigates how selective visualisations can be helpful or trivial for spectating virtual reality users .
Edit intent: clarity
Original:  The study investigates how selective visualisations influence the perception of the augmented reality user, examining how different visualisations can be helpful or trivial for spectating virtual reality users .
Revised:  The study investigates how selective visualisations influence the perception of the augmented reality user, examining how different visualisations can be helpful or trivial for the augmented reality user when observing a virtual reality user .
Edit intent: clarity
Original:  For this to be realised, feasibility must be established not only from an analytical perspective , but also the acceptability of the approach to the user .
Revised:  For this to be realised, the acceptability of remote speech collection to the user must be established not only from an analytical perspective , but also the acceptability of the approach to the user .
Edit intent: clarity
Original:  For this to be realised, feasibility must be established not only from an analytical perspective , but also the acceptability of the approach to the user .
Revised:  For this to be realised, feasibility must be established , in addition to feasibility from an analytical perspective , but also the acceptability of the approach to the user .
Edit intent: clarity
Original:  For this to be realised, feasibility must be established not only from an analytical perspective , but also the acceptability of the approach to the user .
Revised:  For this to be realised, feasibility must be established not only from an analytical perspective .
Edit intent: clarity
Original:  To understand the acceptance, facilitators  and barriers of smartphone-based speech recording, we invited 384 individuals with major depressive disorder (MDD) from the Remote Assessment of Disease and Relapse - Central Nervous System (RADAR-CNS) research programme in Spain and the UK to complete a survey on their experiences recording their speech.
Revised:  To understand the acceptance, facilitators , and barriers of smartphone-based speech recording, we invited 384 individuals with major depressive disorder (MDD) from the Remote Assessment of Disease and Relapse - Central Nervous System (RADAR-CNS) research programme in Spain and the UK to complete a survey on their experiences recording their speech.
Edit intent: fluency
Original:  Our second main result are matching lower bounds for the ration between the length of the underlying cycle and the least common multiple (LCM) of the lengths of binary strings describing edge-periodicies over which the graph is robber-winning.
Revised:  Our second main result are matching lower bounds for the ratio between the length of the underlying cycle and the least common multiple (LCM) of the lengths of binary strings describing edge-periodicies over which the graph is robber-winning.
Edit intent: fluency
Original:  DART reconstructs large structures to within 10s of cms and incurs less than 100 ~ ms compute latency.
Revised:  DART reconstructs large structures to within 10s of cms and incurs less than 100 ms compute latency.
Edit intent: fluency
Original:  The current state of the art approaches the task using a multi-stage pipeline comprising conversational query reformulation and information seeking modules.
Revised:  The current state of the art approaches the task using a multi-stage pipeline comprising conversational query reformulation and information retrieval modules.
Edit intent: clarity
Original:  Despite of its effectiveness, such a pipeline often comprises multiple neural models and thus requires long inference times.
Revised:  Despite its effectiveness, such a pipeline often comprises multiple neural models and thus requires long inference times.
Edit intent: fluency
Original:  Despite of its effectiveness, such a pipeline often comprises multiple neural models and thus requires long inference times.
Revised:  Despite of its effectiveness, such a pipeline often includes multiple neural models and thus requires long inference times.
Edit intent: clarity
Original:  Despite of its effectiveness, such a pipeline often comprises multiple neural models and thus requires long inference times.
Revised:  Despite of its effectiveness, such a pipeline often comprises multiple neural models that require long inference times.
Edit intent: coherence
Original:  To aid in this goal, we create a synthetic dataset for CS to overcome the lack of training data and  explore different training strategies using this dataset.
Revised:  To aid in this goal, we create a synthetic dataset for CS to overcome the lack of training data and to explore different training strategies using this dataset.
Edit intent: fluency
Original:  Yet , in applications relying on machine learning backends, this is challenging because models often capture more than a designer may have envisioned , resulting in the potential leakage of sensitive information.
Revised:  But , in applications relying on machine learning backends, this is challenging because models often capture more than a designer may have envisioned , resulting in the potential leakage of sensitive information.
Edit intent: fluency
Original:  Yet , in applications relying on machine learning backends, this is challenging because models often capture more than a designer may have envisioned , resulting in the potential leakage of sensitive information.
Revised:  Yet , in applications relying on machine learning backends, privacy is challenging because models often capture more than a designer may have envisioned , resulting in the potential leakage of sensitive information.
Edit intent: clarity
Original:  Yet , in applications relying on machine learning backends, this is challenging because models often capture more than a designer may have envisioned , resulting in the potential leakage of sensitive information.
Revised:  Yet , in applications relying on machine learning backends, this is challenging because models often capture more than what the model was initially trained for , resulting in the potential leakage of sensitive information.
Edit intent: clarity
Original:  For example, emotion recognition models are susceptible to learning patterns between the target variable and other sensitive variables, patterns that can be maliciously re-purposed to obtain protected information.
Edit intent: coherence
Original:  In this paper, we concentrate on using interpretable methods to evaluate a model's efficacy to preserve privacy with respect to sensitive variables.
Revised:  In this paper, we propose an automatic and quantifiable metric that allows us to evaluate humans' perception of a model's efficacy to preserve privacy with respect to sensitive variables.
Edit intent: clarity
Original:  In this paper, we concentrate on using interpretable methods to evaluate a model's efficacy to preserve privacy with respect to sensitive variables.
Revised:  In this paper, we concentrate on using interpretable methods to evaluate a model's ability to preserve privacy with respect to sensitive variables.
Edit intent: clarity
Original:  We focus on saliency-based explanations, explanations that highlight regions of the input text, which allows us to understand how modelexplanations shift when models are trained to preserve privacy .
Revised:  In this paper, we focus on saliency-based explanations, explanations that highlight regions of the input text, which allows us to understand how modelexplanations shift when models are trained to preserve privacy .
Edit intent: clarity
Original:  We show how certain commonly-used methods that seek to preserve privacy might not align with human perception of privacy preservation .
Revised:  We show how certain commonly-used methods that seek to preserve privacy do not align with human perception of privacy preservation .
Edit intent: clarity
Original:  We conduct crowdsourcing experiments to evaluate the inclination of the evaluators to choose a particular model for a given task when model explanations are provided, and find that correlation of interpretation differences with sociolinguistic biases can be used as a proxy for user trust .
Revised:  We conduct crowdsourcing experiments to evaluate the inclination of the evaluators to choose a particular model for a given purpose when model explanations are provided, and find that correlation of interpretation differences with sociolinguistic biases can be used as a proxy for user trust .
Edit intent: clarity
Original: Determining coreference of concept mentions across multiple documents is fundamental for natural language understanding.
Revised: Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding.
Edit intent: clarity
Original:  Work on cross-document coreference resolution (CDCR) typically considers mentions of events in the news, which do not often involve abstract technical concepts that are prevalent in science and technology.
Revised:  Work on cross-document coreference resolution (CDCR) typically considers mentions of events in the news, which seldom involve abstract technical concepts that are prevalent in science and technology.
Edit intent: clarity
Original:  We present a new task of hierarchical CDCR for concepts in scientific papers, with the goal of jointly inferring coreference clusters and hierarchy between them.
Revised:  We present a new task of Hierarchical CDCR (H-CDCR) with the goal of jointly inferring coreference clusters and hierarchy between them.
Edit intent: clarity
Original:  Work on cross-document coreference resolution (CDCR) typically considers mentions of events in the news, which seldom involve abstract technical concepts that are prevalent in science and technology.
Revised:  Previous work on cross-document coreference resolution (CDCR) typically considers mentions of events in the news, which seldom involve abstract technical concepts that are prevalent in science and technology.
Edit intent: clarity
Original:  The architecture we propose combines graph neural networks with structured sparsity learning and results in representations for concepts and subreddits that capture phenomena such as ideological radicalization and subreddit hijacking.
Revised:  The architecture we propose combines graph neural networks with structured sparsity and results in representations for concepts and subreddits that capture phenomena such as ideological radicalization and subreddit hijacking.
Edit intent: clarity
Original:  We also create a new dataset of political discourse spanning 12 years and covering more than 600 online groups with different ideologies.
Revised:  We also create a new dataset of political discourse covering 12 years and covering more than 600 online groups with different ideologies.
Edit intent: fluency
Original:  We also create a new dataset of political discourse spanning 12 years and covering more than 600 online groups with different ideologies.
Revised:  We also create a new dataset of political discourse spanning 12 years and more than 600 online groups with different ideologies.
Edit intent: clarity
Original:  The health sector has observed a large adoption of digital devices and systems generating large volumes of personal medical health records.
Revised:  The health sector has observed an extensive adoption of digital devices and systems generating large volumes of personal medical health records.
Edit intent: clarity
Original:  The health sector has observed a large adoption of digital devices and systems generating large volumes of personal medical health records.
Revised:  The health sector has observed a large adoption of digital devices and systems that generate large volumes of personal medical health records.
Edit intent: clarity
Original:  The health sector has observed a large adoption of digital devices and systems generating large volumes of personal medical health records.
Revised:  The health sector has observed a large adoption of digital devices and systems generating large volumes of personal medical records.
Edit intent: clarity
Original:  These summaries may boost diagnosis and extend a doctor's interaction time with the patient during a high workload situation like the COVID-19 pandemic.
Revised:  These summaries may boost diagnosis and extend a doctor's time with the patient during a high workload situation like the COVID-19 pandemic.
Edit intent: clarity
Original:  In this paper, we propose  a multi-head attention-based mechanism to perform extractive summarization of meaningful phrases in clinical notes.
Revised:  In this paper, we propose applying a multi-head attention-based mechanism to perform extractive summarization of meaningful phrases in clinical notes.
Edit intent: clarity
Original:  This method finds major sentences for a summary by correlating tokens, segments  and positional embeddings.
Revised:  This method finds major sentences for a summary by correlating tokens, segments , and positional embeddings.
Edit intent: fluency
Original:  The model outputs attention scores that are statistically transformed to extract key phrases and can be used for a projection on the heat-mapping tool for visual and human use.
Revised:  The model outputs attention scores that are statistically transformed to extract key phrases and can be used to projection on the heat-mapping tool for visual and human use.
Edit intent: clarity
Original:  The proposed approach is based on sampling the trajectories in a manner that captures all region transitions, to yield a discrete word called a trace, which is amenable to established formal methods for path checking.
Revised:  The proposed approach samples a trajectory strategically, to capture every one of its region transitions. This yields a discrete word called a trace, which is amenable to established formal methods for path checking.
Edit intent: clarity
Original:  The  continuous-time trajectory is shown to satisfy the specification if and only if the trace does.
Revised:  The continuous-time trajectory is shown to satisfy the specification if and only if its trace does.
Edit intent: fluency
Original:  One of the challenges in applications of tropical geometry to tree spaces is the difficulty to interpret outcomes of statistical models with the tropical metric.
Revised:  One of the challenges in applications of tropical geometry to tree spaces is the difficulty interpreting outcomes of statistical models with the tropical metric.
Edit intent: fluency
Original: Tropical geometry with the max-plus algebra has been applied to statistical learning models over tree spaces because geometry with the tropical metric over tree spaces have some nice properties such as convexity in terms of the tropical metric.
Revised: Tropical geometry with the max-plus algebra has been applied to statistical learning models over tree spaces because geometry with the tropical metric over tree spaces has some nice properties such as convexity in terms of the tropical metric.
Edit intent: fluency
Original:  Specifically we show that a probability of a tropical line segment of two randomly chosen trees going thorough the origin (the star tree) is zero  and we also show that if two given trees differ only one nearest neighbor interchange (NNI) move, then the tree topology of a tree in the tropical line segment between them is the same tree topology of one of these given two trees with possible zero branch lengths.
Revised:  Specifically we show that a probability of a tropical line segment of two randomly chosen trees going through the origin (the star tree) is zero and we also show that if two given trees differ only one nearest neighbor interchange (NNI) move, then the tree topology of a tree in the tropical line segment between them is the same tree topology of one of these given two trees with possible zero branch lengths.
Edit intent: fluency
Original:  In this study, we investigated the spectral characteristics of different head impact types with kinematics classification.
Revised:  We investigated the spectral characteristics of different head impact types with kinematics classification.
Edit intent: clarity
Original:  Data was analyzed from 3262 head impacts from head model simulations, on-field data from American footballand mixed martial arts (MMA) using our instrumented mouthguard , and publicly available car crash data.
Revised:  Data was analyzed from 3262 head impacts from head model simulations, on-field data from American footballand mixed martial arts , and publicly available car crash data.
Edit intent: clarity
Original:  The most important features in  classification included both low-frequency and high-frequency features, both linear acceleration features and angular velocity features.
Revised:  The most important features in the classification included both low-frequency and high-frequency features, both linear acceleration features and angular velocity features.
Edit intent: fluency
Original:  This showed a generally higher R^2-value than baseline models without classification.
Revised:  This showed a generally higher R2-value than baseline models without classification.
Edit intent: clarity
Original:  In multiple synthetic and real experiments, we demonstrate that RANSIC is fast for use, robust against over 95\% outliers, and also able to recall approximately 100\% of the inliers, outperforming other state-of-the-art solvers for both the rotation search and the point cloud registration problems.
Revised:  In multiple synthetic and real experiments, we demonstrate that RANSIC is fast for use, robust against over 95\% outliers, and also able to recall approximately 100\% inliers, outperforming other state-of-the-art solvers for both the rotation search and the point cloud registration problems.
Edit intent: clarity
Original:  e.g. \eg , models trained with human grasp data would be difficult to transfer to 3-finger grippers.
Revised:  \eg , models trained with human grasp data would be difficult to transfer to 3-finger grippers.
Edit intent: coherence
Original:  in comparison, the proposed differentiable method can test a force closure within 4ms .
Revised:  in comparison, the proposed differentiable method can test a force closure within milliseconds .
Edit intent: clarity
Original:  To this end, we present a passive monitoring methodology that enables us to collect all data requests of a significant and upscalable portion of the total IPFS node population.
Revised:  To this end, we present a passive monitoring methodology that enables us to collect data requests of a significant and upscalable portion of the total IPFS node population.
Edit intent: clarity
Original: Fractional-order dynamical systems are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of cyber-physical systems . Notable examples include networked control systems or neurophysiological signals such as electroencephalogram (EEG)  . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Revised: Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of cyber-physical systems . Notable examples include networked control systems or neurophysiological signals such as electroencephalogram (EEG) . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Edit intent: clarity
Original: Fractional-order dynamical systems are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of cyber-physical systems . Notable examples include networked control systems or neurophysiological signals such as electroencephalogram (EEG)  . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Revised: Fractional-order dynamical systems are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of dynamical networks . Notable examples include networked control systems or neurophysiological signals such as electroencephalogram (EEG) . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Edit intent: clarity
Original: Fractional-order dynamical systems are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of cyber-physical systems . Notable examples include networked control systems or neurophysiological signals such as electroencephalogram (EEG)  . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Revised: Fractional-order dynamical systems are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of cyber-physical systems . Notable examples include networked control systems or neurophysiological networks which are created using electroencephalographic (EEG) . As a result, the estimation of states of a fractional-order dynamical system becomes an important problem to be solved .
Edit intent: clarity