wanyu/IteraTeR_v2 huggingface dataset:
Original:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Revised:  In this paper, we propose a neural network based recommendation model (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Edit intent: clarity
Original:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Revised:  In this paper, we propose a neural recommendation (NeuRec) that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Edit intent: clarity
Original:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Revised:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establishes an integrated network to link a non-linear neural transformation part and latent factor part.
Edit intent: fluency
Original:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to link a non-linear neural transformation part and latent factor part.
Revised:  In this paper, we propose a neural recommendation (NeuRec) model that untangles the complexity of user-item interactions and establish an integrated network to combine non-linear neural transformation part and latent factor part.
Edit intent: clarity
Original:  To explore its capability, we design two variants of NeuRec: user based NeuRec (U-NeuRec) and item based NeuRec(I-NeuRec) . Extensive experiments on four real-world datasets demonstrated its superior performances on personalized ranking task.
Revised:  To explore its capability, we design two variants of NeuRec: user based NeuRec (U-NeuRec) and item based NeuRec(I-NeuRec) . Extensive experiments on four real-world datasets demonstrated their superior performances on personalized ranking task.
Edit intent: fluency
Original:  We therefore incorporate the advantages of dimensionality reduction and dimensionality expansion achieved by conventional and efficient linear algebra procedures of principal component analysis.
Revised:  We therefore incorporate the advantages of dimensionality reduction and dimensionality expansion achieved by conventional algorithmically efficient linear algebra procedures of principal component analysis.
Edit intent: clarity
Original:  We confirm the validity of those principles building RC hardware based on a field-programmable gate array.
Revised:  We confirm the validity of those principles building reservoir computing hardware based on a field-programmable gate array.
Edit intent: clarity
Original:  The presence of high levels of noise can hamper discovery of  patterns and dynamics encapsulated by these networks.
Revised:  The presence of high levels of noise can hamper discovery of network patterns and dynamics encapsulated by these networks.
Edit intent: clarity
Original:  Here we propose Network Enhancement (NE), a novel method for improving the signal-to-noise ratio of undirected, weighted networks , and thereby improving the performance of downstream analysis.
Revised:  Here we propose Network Enhancement (NE), a method for improving the signal-to-noise ratio of undirected, weighted networks , and thereby improving the performance of downstream analysis.
Edit intent: clarity
Original:  Taken together, our results indicate that NE is widely applicable for denoising weighted biological networks, especially when they contain high levels of noise .
Revised:  Taken together, our results indicate that NE is widely applicable for denoising biological networks .
Edit intent: clarity
Original:  State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Revised:  State-of-the-art recommendation algorithms - especially collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Edit intent: fluency
Original:  State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Revised:  State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) -based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Edit intent: fluency
Original:  State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Revised:  State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models - usually work with various unstructured information sources for recommendation, such as textual reviews, visual images, and various implicit or explicit feedbacks.
Edit intent: fluency
Original:  However, structured knowledge bases exhibit unique advantages in personalized recommendation systems.
Revised:  However, structured knowledge exhibit unique advantages in personalized recommendation systems.
Edit intent: clarity
Original:   In this work, we propose to reason over knowledge base embeddings for explainable recommendation.
Revised:  In this work, we propose to explain knowledge-base embeddings for explainable recommendation.
Edit intent: clarity
Original:  Specifically, we propose a knowledge base representation learning framework to embed heterogeneous entities for recommendation, and based on the embedded knowledge base, a soft matching algorithm is proposed to generate personalized explanations for the recommended items.
Revised:  Specifically, we propose a knowledge-base representation learning framework to embed heterogeneous entities for recommendation, and based on the embedded knowledge base, a soft matching algorithm is proposed to generate personalized explanations for the recommended items.
Edit intent: fluency
Original:  They 're used by application programmers because of their ease of use compared to directly modifying the source code of the relevant loops.
Revised:  They are used by application programmers because of their ease of use compared to directly modifying the source code of the relevant loops.
Edit intent: fluency
Original:  To encourage compilers to implement these pragmas, and to avoid a diversity of incompatible syntaxes, we would like to spark a discussion about  inclusion to the OpenMP standard.
Revised:  To encourage compilers to implement these pragmas, and to avoid a diversity of incompatible syntaxes, we would like to spark a discussion about an inclusion to the OpenMP standard.
Edit intent: fluency
Original: A hypergraph H is said to be 1-Sperner if for every two hyperedges the smallest of their two set differences is of size one.
Revised: A hypergraph is said to be 1-Sperner if for every two hyperedges the smallest of their two set differences is of size one.
Edit intent: clarity
Original:  Furthermore, we apply the decomposition theorem for 1-Sperner hypergraphs to derive decomposition theorems for two classes of split graphs, a class of bipartite graphs, and a class of cobipartite graphs.
Revised:  Furthermore, we apply a decomposition property of 1-Sperner hypergraphs to derive decomposition theorems for two classes of split graphs, a class of bipartite graphs, and a class of cobipartite graphs.
Edit intent: clarity
Original:  The read-out speed can further be increased exploiting the RGB values of microscopy images, and the information density could be increased beyond current state of the art .
Revised:  The read-out speed can further be increased exploiting the RGB values from microscopy images .
Edit intent: clarity
Original: Learning compressed representations of multivariate time series (MTS) facilitate the analysis and process of the data in presence of noise , redundant information, and large amount of variables and time steps.
Revised: Learning compressed representations of multivariate time series (MTS) facilitates data analysis in the presence of noise , redundant information, and large amount of variables and time steps.
Edit intent: clarity
Original: Learning compressed representations of multivariate time series (MTS) facilitate the analysis and process of the data in presence of noise , redundant information, and large amount of variables and time steps.
Revised: Learning compressed representations of multivariate time series (MTS) facilitate the analysis and process of the data in presence of noise and redundant information, and large amount of variables and time steps.
Edit intent: fluency
Original: Learning compressed representations of multivariate time series (MTS) facilitate the analysis and process of the data in presence of noise , redundant information, and large amount of variables and time steps.
Revised: Learning compressed representations of multivariate time series (MTS) facilitate the analysis and process of the data in presence of noise , redundant information, and for a large number of variates and time steps.
Edit intent: clarity
Original:  However, classic dimensionality reduction approaches are not designed to process sequential data , especially in the presence of missing values.
Revised:  However, classical dimensionality reduction approaches are not designed to process sequential data , especially in the presence of missing values.
Edit intent: fluency
Original:  Our autoencoder learns fixed-length vectorial representations, whose pairwise similarities are aligned with a kernel function that operates in input space and  handles missing values.
Revised:  Our autoencoder learns fixed-length vectorial representations, whose pairwise similarities are aligned to a kernel function that operates in input space and handles missing values.
Edit intent: fluency
Original:  Our autoencoder learns fixed-length vectorial representations, whose pairwise similarities are aligned with a kernel function that operates in input space and  handles missing values.
Revised:  Our autoencoder learns fixed-length vectorial representations, whose pairwise similarities are aligned with a kernel function that operates in input space and that handles missing values.
Edit intent: fluency
Original:  This , allows to preserve relationships in the low-dimensional vector space even in presence of missing values.
Revised:  This allows to learn good representations, even in the presence of a significant amount of missing data. To show the effectiveness of missing values.
Edit intent: clarity
Original:  Finally, based on the proposed architecture , we conceive a framework for one-class classification and imputation of missing data in time series extracted from ECG signals .
Revised:  Finally, based on the proposed architecture : one for imputing missing data and another for one-class classification and imputation of missing data in time series extracted from ECG signals .
Edit intent: clarity
Original:  To cope with these new requirements , we present a cross-platform optimizer that allocates the subtasks of data analytic tasks to the most suitable platforms.
Revised:  In this paper , we present a cross-platform optimizer that allocates the subtasks of data analytic tasks to the most suitable platforms.
Edit intent: clarity
Original:  In particular , our optimizer allows certain tasks to run more than one order of magnitude faster than on state-of-the-art platforms , such as Spark .
Revised:  In addition , our optimizer allows certain tasks to run more than one order of magnitude faster than on state-of-the-art platforms , such as Spark .
Edit intent: clarity
Original:  In particular , our optimizer allows certain tasks to run more than one order of magnitude faster than on state-of-the-art platforms , such as Spark .
Revised:  In particular , our optimizer allows tasks to run more than one order of magnitude faster than on state-of-the-art platforms , such as Spark .
Edit intent: clarity
Original:  Under certain constraints, mathematical theory can advance predictions of the expected neural dynamics based solely on the statistical properties of such synaptic interaction matrix.
Revised:  Under certain constraints, mathematical theory can advance predictions of the expected neural dynamics based solely on the statistical properties of the synaptic interaction matrix.
Edit intent: clarity
Original:  This work explores the application of free random variables (FRV) to the study of large synaptic interaction matrices.
Revised:  This work explores the application of free random variables to the study of large synaptic interaction matrices.
Edit intent: clarity
Original:  More importantly, we derive analytically the behavior of eigenvector overlaps, which determine  stability of the spectra.
Revised:  More importantly, we derive analytically the behavior of eigenvector overlaps, which determine the stability of the spectra.
Edit intent: fluency
Original:  Considering the success of FRV analysis in a wide variety of branches disciplines, we hope that the results presented here foster  additional application of these ideas in the area of brain sciences.
Revised:  Considering the success of free random variables theory in a wide variety of branches disciplines, we hope that the results presented here foster additional application of these ideas in the area of brain sciences.
Edit intent: clarity
Original:  Considering the success of FRV analysis in a wide variety of branches disciplines, we hope that the results presented here foster  additional application of these ideas in the area of brain sciences.
Revised:  Considering the success of FRV analysis in a wide variety of disciplines, we hope that the results presented here foster additional application of these ideas in the area of brain sciences.
Edit intent: fluency
Original:  Considering the success of FRV analysis in a wide variety of branches disciplines, we hope that the results presented here foster  additional application of these ideas in the area of brain sciences.
Revised:  Considering the success of FRV analysis in a wide variety of branches disciplines, we hope that the results presented here foster the additional application of these ideas in the area of brain sciences.
Edit intent: fluency
Original:  While the commonly adopted collaborative solutions for RDF data are centralized , such as SPARQL endpoints and wiki systems .
Revised:  While the commonly adopted collaborative solutions for RDF data are centralized (e.g. SPARQL endpoints and wiki systems .
Edit intent: clarity
Original:  To actually support distributed collaboration  a system is needed, which supports divergence of datasets, brings the possibility to conflate diverged states and allows to synchronize different distributed datasets .
Revised:  To actually support distributed collaboration , a system is needed, which supports divergence of datasets, brings the possibility to conflate diverged states and allows to synchronize different distributed datasets .
Edit intent: fluency
Original:  To actually support distributed collaboration  a system is needed, which supports divergence of datasets, brings the possibility to conflate diverged states and allows to synchronize different distributed datasets .
Revised:  To actually support distributed collaboration a system is needed, that supports divergence of datasets, brings the possibility to conflate diverged states and allows to synchronize different distributed datasets .
Edit intent: fluency
Original:  We are presenting the Quit Stack inspired by and built on the successful Git system.
Revised:  We are presenting the Quit Stack inspired by and it builds upon the successful Git system.
Edit intent: clarity
Original:  During the collaborative curation process  the system is automatically versioning the RDF dataset , and tracking provenance information.
Revised:  During the collaborative curation process the RDF dataset , and tracking provenance information.
Edit intent: clarity
Original:  During the collaborative curation process  the system is automatically versioning the RDF dataset , and tracking provenance information.
Revised:  During the collaborative curation process the system is automatically versioning the RDF dataset and tracks provenance information.
Edit intent: fluency
Original:  It is providing support for branching, merging and synchronizing distributed RDF datasets.
Revised:  It also provides support to branch, merge, and synchronize distributed RDF datasets.
Edit intent: clarity
Original:  Finally with our reference implementation we prove a reasonable performance and demonstrate the practical usability of the system.
Revised:  Finally , we use our reference implementation we prove a reasonable performance and demonstrate the practical usability of the system.
Edit intent: coherence
Original:  Finally with our reference implementation we prove a reasonable performance and demonstrate the practical usability of the system.
Revised:  Finally with our reference implementation to show overall good performance and demonstrate the practical usability of the system.
Edit intent: clarity
Original:  In this work , we identifya large class of signatures wich do generate a syntax.
Revised:  In this work , we identifya large class of signatures that do generate a syntax.
Edit intent: fluency
Original:   This paper builds upon ideas from a previous attempt by Hirschowitz-Maggesi (FICS 2012) , which, in turn, was directly inspired by some earlier work of Ghani-Uustalu and Matthes-Uustalu.
Revised:  This paper builds upon ideas from a previous attempt by Hirschowitz-Maggesi , which, in turn, was directly inspired by some earlier work of Ghani-Uustalu and Matthes-Uustalu.
Edit intent: clarity
Original:  More precisely, we consider a general notion of `signature ' for specifying syntactic constructions.
Revised:  More precisely, we study a notion of signature for specifying syntactic constructions.
Edit intent: clarity
Original:  Our signatures subsume classical algebraic signatures (i.e., signatures for languages with variable binding, such as the pure lambda calculus) and extend to much more general examples.
Edit intent: coherence
Original:  In the spirit of Initial Semantics, we define the ` syntax generated by a signature ' to be the initial object---if it exists---in a suitable category of models.
Revised:  In the spirit of Initial Semantics, we define the syntax generated by a signature ' to be the initial object---if it exists---in a suitable category of models.
Edit intent: fluency
Original:  In the spirit of Initial Semantics, we define the ` syntax generated by a signature ' to be the initial object---if it exists---in a suitable category of models.
Revised:  In the spirit of Initial Semantics, we define the ` syntax generated by a signature to be the initial object---if it exists---in a suitable category of models.
Edit intent: fluency
Original:  Our signatures are `general' in the sense that the existence of an associated syntax  is not automatically guaranteed.
Revised:  Our signatures are `general' in the sense that the existence of an associated syntax to a signature is not automatically guaranteed.
Edit intent: clarity
Original:  In this work we identify, via the notion of ` presentation of a signature ' , a large class of signatures that do generate a syntax.
Revised:  We identify, via the notion of ` presentation of a signature ' , a large class of signatures that do generate a syntax.
Edit intent: clarity
Original:  In this work we identify, via the notion of ` presentation of a signature ' , a large class of signatures that do generate a syntax.
Revised:  In this work we identify, via the notion of presentation of a signature ' , a large class of signatures that do generate a syntax.
Edit intent: fluency
Original:  In this work we identify, via the notion of ` presentation of a signature ' , a large class of signatures that do generate a syntax.
Revised:  In this work we identify, via the notion of ` presentation of a signature , a large class of signatures that do generate a syntax.
Edit intent: fluency
Original:   One key feature of presentations is that they are highly compositional, in the sense that complex presentations can be obtained by assembling simpler ones  .
Revised:  One key feature of presentations is that they are highly compositional, in the sense that complex examples can be obtained by assembling simpler ones .
Edit intent: clarity
Original:  In the spirit of Initial Semantics, we define the syntax generated by a signature to be the initial object---if it exists---in a suitable category of models.
Revised:  In the spirit of Initial Semantics, we define the syntax generated by a signature to be the initial object -- if it exists -- in a suitable category of models.
Edit intent: fluency
Original:  One key feature of our notions of signature, syntax, and presentation is that they are highly compositional, in the sense that complex examples can be obtained by assembling simpler ones.
Revised:  One key feature of our notions of signature, syntax, and presentation is that they are highly compositional, in the sense that complex examples can be obtained by gluing simpler ones.
Edit intent: clarity
Original:  More precisely, we study a notion of signature for specifying syntactic constructions.
Revised:  More precisely, we study a notion of "signature" for specifying syntactic constructions.
Edit intent: fluency
Original:  In the spirit of Initial Semantics, we define the  syntax generated by a signature  to be the initial object -- if it exists -- in a suitable category of models.
Revised:  In the spirit of Initial Semantics, we define the " syntax generated by a signature to be the initial object -- if it exists -- in a suitable category of models.
Edit intent: fluency
Original:  In the spirit of Initial Semantics, we define the  syntax generated by a signature  to be the initial object -- if it exists -- in a suitable category of models.
Revised:  In the spirit of Initial Semantics, we define the syntax generated by a signature " to be the initial object -- if it exists -- in a suitable category of models.
Edit intent: fluency
Original: Previous work by Linsker revealed how simple cells can emerge in the absence of structured environmental input, via a selforganisation learning process.
Revised: Previous work by Linsker revealed how simple cells can emerge in the absence of structured environmental input, via a self-organisation learning process.
Edit intent: clarity
Original: In his seminal, three paper series, Linsker provided a mechanism for how random activity in the visual pathway could give rise to many of the features observed experimentally in the early stages of visual processing  .
Revised: The mechanisms underlying how activity in the visual pathway could give rise to many of the features observed experimentally in the early stages of visual processing .
Edit intent: clarity