wanyu/IteraTeR_v2 huggingface dataset:
Original:  The former employs phone posteriors to construct an i-vector model in which the shared statistics offer stronger robustness against limited test data .
Revised:  The former employs phone posteriors to construct an i-vector model in which the shared statistics offers stronger robustness against limited test data .
Edit intent: fluency
Original:  A scorelevel system combination approach is proposed to integrate the respective advantages of the two systems.
Revised:  A score-level fusion is implemented to integrate the respective advantages of the two systems.
Edit intent: clarity
Original:  A scorelevel system combination approach is proposed to integrate the respective advantages of the two systems.
Revised:  A scorelevel system combination approach is proposed to integrate the respective advantages from the two systems.
Edit intent: clarity
Original:  Experimental results confirm that on the text-independent SUSR task, both the DNN-based i-vector system and the subregion-based GMM-UBM system outperform their respective baselines, and the score-level system combination delivers significant performance improvement.
Revised:  Experimental results show that for the text-independent SUSR task, both the DNN-based i-vector system and the subregion-based GMM-UBM system outperform their respective baselines, and the score-level system combination delivers significant performance improvement.
Edit intent: clarity
Original:  Experimental results confirm that on the text-independent SUSR task, both the DNN-based i-vector system and the subregion-based GMM-UBM system outperform their respective baselines, and the score-level system combination delivers significant performance improvement.
Revised:  Experimental results confirm that on the text-independent SUSR task, both the DNN-based i-vector system and the subregion-based GMM-UBM system outperform their respective baselines, and the score-level system combination delivers performance improvement.
Edit intent: clarity
Original:  Furthermore, the human notion of "compatibility" that we need to capture goes beyond mere similarity: For two items to be compatible---whether jeans and a t-shirt, or a laptop and a charger---they should be similar in some ways, but systematically different in others.
Revised:  Furthermore, the human notion of "compatibility" to capture goes beyond mere similarity: For two items to be compatible---whether jeans and a t-shirt, or a laptop and a charger---they should be similar in some ways, but systematically different in others.
Edit intent: coherence
Original:  In this paper we develop a method, Monomer, to uncover complicated and heterogeneous of relationships between items  . Recently, scalable methods have been developed that address this task by learning embeddings of the visual and textual characteristics of the products involved , but which ultimately depend on a nearest-neighbor assumption between the learned embeddings.
Revised:  In this paper we develop a method, Monomer, to learn complicated and heterogeneous of relationships between items . Recently, scalable methods have been developed that address this task by learning embeddings of the visual and textual characteristics of the products involved , but which ultimately depend on a nearest-neighbor assumption between the learned embeddings.
Edit intent: clarity
Original:  In this paper we develop a method, Monomer, to uncover complicated and heterogeneous of relationships between items  . Recently, scalable methods have been developed that address this task by learning embeddings of the visual and textual characteristics of the products involved , but which ultimately depend on a nearest-neighbor assumption between the learned embeddings.
Revised:  In this paper we develop a method, Monomer, to uncover complicated and heterogeneous relationships between items . Recently, scalable methods have been developed that address this task by learning embeddings of the visual and textual characteristics of the products involved , but which ultimately depend on a nearest-neighbor assumption between the learned embeddings.
Edit intent: fluency
Original:  The local rules are %DIFDELCMD < {\em %%% weak if the digitizations can slightly wander around E.
Revised:  The local rules are %DIFDELCMD < {\em %%% weak if the digitizations can slightly wander around E.
Edit intent: fluency
Original:  The ISP allocates the cache storage to various content providers so as to maximize the bandwidth savings provided by the cache: the main novelty lies in the fact that, to protect business-critical information, ISPs only need to measure the aggregated miss rates of the individual CPs and does not need to be aware of the objects that are requested, as in classic caching.
Revised:  The ISP allocates the cache storage to various content providers so as to maximize the bandwidth savings provided by the cache: the main novelty lies in the fact that, to protect business-critical information, ISPs only need to measure the aggregated miss rates of the individual CPs and do not need to be aware of the objects that are requested, as in classic caching.
Edit intent: fluency
Original:  Our results (i) testify the feasibility of content-oblivious caches and (ii) show that the proposed algorithm can achieve within 10 \% from the global optimum in our evaluation.
Revised:  Our results (i) testify the feasibility of content-oblivious caches and (ii) show that the proposed algorithm can achieve within 10 
Edit intent: clarity
Original: We study the class \# AC^0 of functions computed by constant-depth polynomial-size arithmetic circuits of unbounded fan-in addition and multiplication gates.
Revised: We study the class AC^0 of functions computed by constant-depth polynomial-size arithmetic circuits of unbounded fan-in addition and multiplication gates.
Edit intent: fluency
Original:  Inspired by Immerman's characterization of the Boolean class AC^0, we remedy this situation and develop such a characterization of \# AC^0.
Revised:  Inspired by Immerman's characterization of the Boolean class AC^0, we remedy this situation and develop such a characterization of AC^0.
Edit intent: coherence
Original:  Our characterization can be interpreted as follows: Functions in \# AC^0 are exactly those functions counting winning strategies in first-order model checking games.
Revised:  Our characterization can be interpreted as follows: Functions in AC^0 are exactly those functions counting winning strategies in first-order model checking games.
Edit intent: fluency
Original: Threshold graphs are recursive deterministic network models that capture properties of certain social and economic interactions.
Revised: Threshold graphs are recursive deterministic network models that capture properties of social and economic interactions.
Edit intent: clarity
Original:  One drawback of these graph families is that they they have highly constrained generative attachment rules.
Revised:  One drawback of these graph families is that they have limited constrained generative attachment rules.
Edit intent: clarity
Original:  We provide a succinct characterization and decomposition of DT graphs and analyze their forbidden induced subgraphs which we compare to those of known social networks.
Revised:  We provide a succinct characterization and decomposition of DT graphs and analyze their forbidden induced subgraphs which we compare to those of prototypical social networks.
Edit intent: clarity
Original: Threshold graphs are recursive deterministic network models that capture properties of social and economic interactions.
Revised: Threshold graphs are recursive deterministic network models that have been proposed for describing certain economic and social interactions.
Edit intent: clarity
Original:  One drawback of these graph families is that they have limited constrained generative attachment rules.
Revised:  One drawback of this graph family is that it has limited generative attachment rules.
Edit intent: clarity
Original: Most random graph models are locally tree-like - do not contain short cycles - which makes them unfit for modeling networks with a community structure.
Revised: Most random graph models are locally tree-like - do not contain short cycles - rendering them unfit for modeling networks with a community structure.
Edit intent: clarity
Original:  Furthermore, viewing real-world networks as realizations of the HCM reveals two previously unobserved power-law relations: between the number of edges inside a community and the community sizes, and between the number of edges going out of a community and the community sizes.
Revised:  Viewing real-world networks as realizations of the HCM reveals two previously unobserved power-law relations: between the number of edges inside a community and the community sizes, and between the number of edges going out of a community and the community sizes.
Edit intent: coherence
Original:  Furthermore, viewing real-world networks as realizations of the HCM reveals two previously unobserved power-law relations: between the number of edges inside a community and the community sizes, and between the number of edges going out of a community and the community sizes.
Revised:  Furthermore, viewing real-world networks as realizations of the HCM , we observe two previously unobserved power-law relations: between the number of edges inside a community and the community sizes, and between the number of edges going out of a community and the community sizes.
Edit intent: coherence
Original:  There exist reports stating that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Revised:  Reports state that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Edit intent: clarity
Original:  There exist reports stating that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Revised:  There exist reports stating that different physiological states or even diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Edit intent: coherence
Original:  There exist reports stating that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Revised:  There exist reports stating that different physiological states , or diseases that affect the central nervous system may be associated to alterations on those networks, resulting in graphs with different architectures.
Edit intent: clarity
Original:  There exist reports stating that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, resulting in graphs with different architectures.
Revised:  There exist reports stating that different physiological states , or diseases that affect the central nervous system can influence properties of those networks, that might reflect in graphs of different architectures.
Edit intent: clarity
Original:  The understanding of how different states or conditions can influence functional neural networks have not been elucidated yet, thus it is necessary to characterize them under different controlled experimental conditions .
Revised:  The understanding of how different states or conditions of the organism is not well comprehended. Thus, experiments that involve the estimation of functional neural networks have not been elucidated yet, thus it is necessary to characterize them under different controlled experimental conditions .
Edit intent: clarity
Original:  The understanding of how different states or conditions can influence functional neural networks have not been elucidated yet, thus it is necessary to characterize them under different controlled experimental conditions .
Revised:  The understanding of how different states or conditions can influence functional neural networks of subjects exposed to different controlled conditions are of great relevance .
Edit intent: clarity
Original:  Within this context, this work sought to model  functional brain networks from graphs sequentially estimated in short intervals of time during an anesthetic induction process , aiming to verify how the changes in the graphs are given.
Revised:  Within this context, this research has sought to model functional brain networks from graphs sequentially estimated in short intervals of time during an anesthetic induction process , aiming to verify how the changes in the graphs are given.
Edit intent: clarity
Original:  Within this context, this work sought to model  functional brain networks from graphs sequentially estimated in short intervals of time during an anesthetic induction process , aiming to verify how the changes in the graphs are given.
Revised:  Within this context, this work sought to model functional brain networks during an anesthetic induction process , aiming to verify how the changes in the graphs are given.
Edit intent: clarity
Original:  Changes were observed in various networks properties  about one and a half minute after the administration of the anesthetics , revealing the occurrence of a transition on the networks architecture.
Revised:  Changes were observed in various networks properties within about one and a half minute after the administration of the anesthetics , revealing the occurrence of a transition on the networks architecture.
Edit intent: clarity
Original:  Changes were observed in various networks properties  about one and a half minute after the administration of the anesthetics , revealing the occurrence of a transition on the networks architecture.
Revised:  Changes were observed in various networks properties about one and a half minutes after the administration of the anesthetics , revealing the occurrence of a transition on the networks architecture.
Edit intent: fluency
Original:  Changes were observed in various networks properties  about one and a half minute after the administration of the anesthetics , revealing the occurrence of a transition on the networks architecture.
Revised:  Changes were observed in various networks properties about one and a half minute after the administration of the anesthetics . These changes reveal the occurrence of a transition on the networks architecture.
Edit intent: clarity
Original:  During general anesthesia it was verified a reduction in the functional connectivity and network integration capabilities  in both local and global levels , and it was observed that the brain shifts to a highly specific and dynamic state.
Revised:  During general anesthesia a reduction in the functional connectivity and network integration capabilities in both local and global levels , and it was observed that the brain shifts to a highly specific and dynamic state.
Edit intent: coherence
Original:  During general anesthesia it was verified a reduction in the functional connectivity and network integration capabilities  in both local and global levels , and it was observed that the brain shifts to a highly specific and dynamic state.
Revised:  During general anesthesia it was verified a reduction in the functional connectivity and network integration capabilities in both local and global levels . It was also observed that the brain shifts to a highly specific and dynamic state.
Edit intent: clarity
Original:  During general anesthesia it was verified a reduction in the functional connectivity and network integration capabilities  in both local and global levels , and it was observed that the brain shifts to a highly specific and dynamic state.
Revised:  During general anesthesia it was verified a reduction in the functional connectivity and network integration capabilities in both local and global levels , and it was observed that the brain shifted to a highly specific and dynamic state.
Edit intent: fluency
Original:  The results bring experimental evidences relating network properties and the induced state of anesthesia , also contributing for understanding some new aspects of neural correlates of consciousness.
Revised:  The results bring empirical evidence and report the relation of the induced state of anesthesia , also contributing for understanding some new aspects of neural correlates of consciousness.
Edit intent: clarity
Original: The explosive percolation (EP) paradigm is used to propose a new method (`explosive immunization' ) for immunization and targeted destruction of networks.
Revised: A new method (`explosive immunization' ) for immunization and targeted destruction of networks.
Edit intent: coherence
Original:   The ability of each node to block the spread of an infection (or to prevent the existence of a large cluster  ) is estimated by a score.
Revised:  The ability of each node to block the spread of an infection (or to prevent the existence of a large cluster of connected nodes ) is estimated by a score.
Edit intent: clarity
Original:  The algorithm proceeds by first identifying low score nodes that are not vaccinated/destroyed, similarly as links that do not lead to large clusters are first established in EP . As in EP, this is done by selecting the worst node  from a finite set of randomly chosen `candidates'.
Revised:  The algorithm proceeds by first identifying low score nodes that should not be vaccinated/destroyed, similarly as links that do not lead to large clusters are first established in EP . As in EP, this is done by selecting the worst node from a finite set of randomly chosen `candidates'.
Edit intent: clarity
Original:  The algorithm proceeds by first identifying low score nodes that are not vaccinated/destroyed, similarly as links that do not lead to large clusters are first established in EP . As in EP, this is done by selecting the worst node  from a finite set of randomly chosen `candidates'.
Revised:  The algorithm proceeds by first identifying low score nodes that are not vaccinated/destroyed, similarly as links that do not lead to large clusters . As in EP, this is done by selecting the worst node from a finite set of randomly chosen `candidates'.
Edit intent: clarity
Original:  Inspired by tools from wireless communication , we study the design and optimization of transmit waveform so as to enhance the DC power at the output of the rectenna.
Revised:  In this paper , we study the design and optimization of transmit waveform so as to enhance the DC power at the output of the rectenna.
Edit intent: clarity
Original:  Inspired by tools from wireless communication , we study the design and optimization of transmit waveform so as to enhance the DC power at the output of the rectenna.
Revised:  Inspired by tools from wireless communication , we study the design of transmit waveform so as to enhance the DC power at the output of the rectenna.
Edit intent: clarity
Original:   Through realistic simulations,  significant gains (in terms of harvested DC power) are demonstrated over adaptive waveforms designed based on a linear model of the rectenna and over non-adaptive waveforms.
Revised:  Through realistic simulations, waveforms designed based on the non-linear model are shown to provide significant gains (in terms of harvested DC power) are demonstrated over adaptive waveforms designed based on a linear model of the rectenna and over non-adaptive waveforms.
Edit intent: clarity
Original:   Through realistic simulations,  significant gains (in terms of harvested DC power) are demonstrated over adaptive waveforms designed based on a linear model of the rectenna and over non-adaptive waveforms.
Revised:  Through realistic simulations, significant gains (in terms of harvested DC power) over those designed based on a linear model of the rectenna and over non-adaptive waveforms.
Edit intent: clarity
Original:   Through realistic simulations,  significant gains (in terms of harvested DC power) are demonstrated over adaptive waveforms designed based on a linear model of the rectenna and over non-adaptive waveforms.
Revised:  Through realistic simulations, significant gains (in terms of harvested DC power) are demonstrated over adaptive waveforms designed based on the linear model and over non-adaptive waveforms.
Edit intent: clarity
Original:  Finally, we introduce a promising architecture relying on large-scale multisine multi-antenna waveforms dedicated to WPT .
Revised:  Results also motivate the study of a promising architecture relying on large-scale multisine multi-antenna waveforms dedicated to WPT .
Edit intent: clarity
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as ,solution ,feedback ,spam , etc.
Edit intent: clarity
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as problem solution ,feedback ,spam , etc.
Edit intent: fluency
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as problem , ,feedback ,spam , etc.
Edit intent: clarity
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as problem ,solution feedback ,spam , etc.
Edit intent: fluency
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as problem ,solution , ,spam , etc.
Edit intent: coherence
Original:  They typically contain posts that fall into different categories such as problem ,solution ,feedback ,spam , etc.
Revised:  They typically contain posts that fall into different categories such as problem ,solution ,feedback spam , etc.
Edit intent: fluency
Original:  In this work , we focus on quantifying whether a location is suitable for conducting social activities, and the notion is named location sociality.
Revised:  This work is a step towards quantifying whether a location is suitable for conducting social activities, and the notion is named location sociality.
Edit intent: clarity
Original:  By exploiting millions of check-in data generated by Instagram users in New York and Los Angeles, we investigate the relation between location sociality and several location properties, such as location categories, rating and popularity.
Revised:  By exploiting millions of check-in data generated by Instagram users in New York and Los Angeles, we investigate the relation between location sociality and several location properties, including location categories, rating and popularity.
Edit intent: clarity
Original:  Mesochronous retiming circuits are used to generate a sampling clock positioned at the center of the data eye.
Revised:  Mesochronous retiming circuits are required in repeaterless low swing on-chip interconnects in order to sample the low swing data at the center of the data eye.
Edit intent: clarity
Original:  This occurs when the initial phase of the clock is within the horizontally closed region of the data eye . Next, we model the synchronizer system as a Markov chain with absorbing states and determine the mean absorption time which is indicative of the mean settling time of the circuit  .
Revised:  This occurs when the initial phase of the clock is within the horizontally closed region of the data eye . Next, the circuit is modeled as a Markov chain with absorbing states and determine the mean absorption time which is indicative of the mean settling time of the circuit .
Edit intent: clarity